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  • SQL Server and Hyper-V Dynamic Memory Part 2

    - by SQLOS Team
    Part 1 of this series was an introduction and overview of Hyper-V Dynamic Memory. This part looks at SQL Server memory management and how the SQL engine responds to changing OS memory conditions.   Part 2: SQL Server Memory Management As with any Windows process, sqlserver.exe has a virtual address space (VAS) of 4GB on 32-bit and 8TB in 64-bit editions. Pages in its VAS are mapped to pages in physical memory when the memory is committed and referenced for the first time. The collection of VAS pages that have been recently referenced is known as the Working Set. How and when SQL Server allocates virtual memory and grows its working set depends on the memory model it uses. SQL Server supports three basic memory models:   1. Conventional Memory Model   The Conventional model is the default SQL Server memory model and has the following properties: - Dynamic - can grow or shrink its working set in response to load and external (operating system) memory conditions. - OS uses 4K pages – (not to be confused with SQL Server “pages” which are 8K regions of committed memory).- Pageable - Can be paged out to disk by the operating system.   2. Locked Page Model The locked page memory model is set when SQL Server is started with "Lock Pages in Memory" privilege*. It has the following characteristics: - Dynamic - can grow or shrink its working set in the same way as the Conventional model.- OS uses 4K pages - Non-Pageable – When memory is committed it is locked in memory, meaning that it will remain backed by physical memory and will not be paged out by the operating system. A common misconception is to interpret "locked" as non-dynamic. A SQL Server instance using the locked page memory model will grow and shrink (allocate memory and release memory) in response to changing workload and OS memory conditions in the same way as it does with the conventional model.   This is an important consideration when we look at Hyper-V Dynamic Memory – “locked” memory works perfectly well with “dynamic” memory.   * Note in “Denali” (Standard Edition and above), and in SQL 2008 R2 64-bit (Enterprise and above editions) the Lock Pages in Memory privilege is all that is required to set this model. In 2008 R2 64-Bit standard edition it also requires trace flag 845 to be set, in 2008 R2 32-bit editions it requires sp_configure 'awe enabled' 1.   3. Large Page Model The Large page model is set using trace flag 834 and potentially offers a small performance boost for systems that are configured with large pages. It is characterized by: - Static - memory is allocated at startup and does not change. - OS uses large (>2MB) pages - Non-Pageable The large page model is supported with Hyper-V Dynamic Memory (and Hyper-V also supports large pages), but you get no benefit from using Dynamic Memory with this model since SQL Server memory does not grow or shrink. The rest of this article will focus on the locked and conventional SQL Server memory models.   When does SQL Server grow? For “dynamic” configurations (Conventional and Locked memory models), the sqlservr.exe process grows – allocates and commits memory from the OS – in response to a workload. As much memory is allocated as is required to optimally run the query and buffer data for future queries, subject to limitations imposed by:   - SQL Server max server memory setting. If this configuration option is set, the buffer pool is not allowed to grow to more than this value. In SQL Server 2008 this value represents single page allocations, and in “Denali” it represents any size page allocations and also managed CLR procedure allocations.   - Memory signals from OS. The operating system sets a signal on memory resource notification objects to indicate whether it has memory available or whether it is low on available memory. If there is only 32MB free for every 4GB of memory a low memory signal is set, which continues until 64MB/4GB is free. If there is 96MB/4GB free the operating system sets a high memory signal. SQL Server only allocates memory when the high memory signal is set.   To summarize, for SQL Server to grow you need three conditions: a workload, max server memory setting higher than the current allocation, high memory signals from the OS.    When does SQL Server shrink caches? SQL Server as a rule does not like to return memory to the OS, but it will shrink its caches in response to memory pressure. Memory pressure can be divided into “internal” and “external”.   - External memory pressure occurs when the operating system is running low on memory and low memory signals are set. The SQL Server Resource Monitor checks for low memory signals approximately every 5 seconds and it will attempt to free memory until the signals stop.   To free memory SQL Server does the following: ·         Frees unused memory. ·         Notifies Memory Manager Clients to release memory o   Caches – Free unreferenced cache objects. o   Buffer pool - Based on oldest access times.   The freed memory is released back to the operating system. This process continues until the low memory resource notifications stop.    - Internal memory pressure occurs when the size of different caches and allocations increase but the SQL Server process needs to keep its total memory within a target value. For example if max server memory is set and certain caches are growing large, it will cause SQL to free memory for re-use internally, but not to release memory back to the OS. If you lower the value of max server memory you will generate internal memory pressure that will cause SQL to release memory back to the OS.    Memory pressure handling has not changed much since SQL 2005 and it was described in detail in a blog post by Slava Oks.   Note that SQL Server Express is an exception to the above behavior. Unlike other editions it does not assume it is the most important process running on the system but tries to be more “desktop” friendly. It will empty its working set after a period of inactivity.   How does SQL Server respond to changing OS memory?    In SQL Server 2005 support for Hot-Add memory was introduced. This feature, available in Enterprise and above editions, allows the server to make use of any extra physical memory that was added after SQL Server started. Being able to add physical memory when the system is running is limited to specialized hardware, but with the Hyper-V Dynamic Memory feature, when new memory is allocated to a guest virtual machine, it looks like hot-add physical memory to the guest. What this means is that thanks to the hot-add memory feature, SQL Server 2005 and higher can dynamically grow if more “physical” memory is granted to a guest VM by Hyper-V dynamic memory.   SQL Server checks OS memory every second and dynamically adjusts its “target” (based on available OS memory and max server memory) accordingly.   In “Denali” Standard Edition will also have sqlserver.exe support for hot-add memory when running virtualized (i.e. detecting and acting on Hyper-V Dynamic Memory allocations).   How does a SQL Server workload in a guest VM impact Hyper-V dynamic memory scheduling?   When a SQL workload causes the sqlserver.exe process to grow its working set, the Hyper-V memory scheduler will detect memory pressure in the guest VM and add memory to it. SQL Server will then detect the extra memory and grow according to workload demand. In our tests we have seen this feedback process cause a guest VM to grow quickly in response to SQL workload - we are still working on characterizing this ramp-up.    How does SQL Server respond when Hyper-V removes memory from a guest VM through ballooning?   If pressure from other VM's cause Hyper-V Dynamic Memory to take memory away from a VM through ballooning (allocating memory with a virtual device driver and returning it to the host OS), Windows Memory Manager will page out unlocked portions of memory and signal low resource notification events. When SQL Server detects these events it will shrink memory until the low memory notifications stop (see cache shrinking description above).    This raises another question. Can we make SQL Server release memory more readily and hence behave more "dynamically" without compromising performance? In certain circumstances where the application workload is predictable it may be possible to have a job which varies "max server memory" according to need, lowering it when the engine is inactive and raising it before a period of activity. This would have limited applicaability but it is something we're looking into.   What Memory Management changes are there in SQL Server “Denali”?   In SQL Server “Denali” (aka SQL11) the Memory Manager has been re-written to be more efficient. The main changes are summarized in this post. An important change with respect to Hyper-V Dynamic Memory support is that now the max server memory setting includes any size page allocations and managed CLR procedure allocations it now represents a closer approximation to total sqlserver.exe memory usage. This makes it easier to calculate a value for max server memory, which becomes important when configuring virtual machines to work well with Hyper-V Dynamic Memory Startup and Maximum RAM settings.   Another important change is no more AWE or hot-add support for 32-bit edition. This means if you're running a 32-bit edition of Denali you're limited to a 4GB address space and will not be able to take advantage of dynamically added OS memory that wasn't present when SQL Server started (though Hyper-V Dynamic Memory is still a supported configuration).   In part 3 we’ll develop some best practices for configuring and using SQL Server with Dynamic Memory. Originally posted at http://blogs.msdn.com/b/sqlosteam/

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  • SQL Server and Hyper-V Dynamic Memory - Part 1

    - by SQLOS Team
    SQL and Dynamic Memory Blog Post Series   Hyper-V Dynamic Memory is a new feature in Windows Server 2008 R2 SP1 that allows the memory assigned to guest virtual machines to vary according to demand. Using this feature with SQL Server is supported, but how well does it work in an environment where available memory can vary dynamically, especially since SQL Server likes memory, and is not very eager to let go of it? The next three posts will look at this question in detail. In Part 1 Serdar Sutay, a program manager in the Windows Hyper-V team, introduces Dynamic Memory with an overview of the basic architecture, configuration and monitoring concepts. In subsequent parts we will look at SQL Server memory handling, and develop some guidelines on using SQL Server with Dynamic Memory.   Part 1: Dynamic Memory Introduction   In virtualized environments memory is often the bottleneck for reaching higher VM densities. In Windows Server 2008 R2 SP1 Hyper-V introduced a new feature “Dynamic Memory” to improve VM densities on Hyper-V hosts. Dynamic Memory increases the memory utilization in virtualized environments by enabling VM memory to be changed dynamically when the VM is running.   This brings up the question of how to utilize this feature with SQL Server VMs as SQL Server performance is very sensitive to the memory being used. In the next three posts we’ll discuss the internals of Dynamic Memory, SQL Server Memory Management and how to use Dynamic Memory with SQL Server VMs.   Memory Utilization Efficiency in Virtualized Environments   The primary reason memory is usually the bottleneck for higher VM densities is that users tend to be generous when assigning memory to their VMs. Here are some memory sizing practices we’ve heard from customers:   ·         I assign 4 GB of memory to my VMs. I don’t know if all of it is being used by the applications but no one complains. ·         I take the minimum system requirements and add 50% more. ·         I go with the recommendations provided by my software vendor.   In reality correctly sizing a virtual machine requires significant effort to monitor the memory usage of the applications. Since this is not done in most environments, VMs are usually over-provisioned in terms of memory. In other words, a SQL Server VM that is assigned 4 GB of memory may not need to use 4 GB.   How does Dynamic Memory help?   Dynamic Memory improves the memory utilization by removing the requirement to determine the memory need for an application. Hyper-V determines the memory needed by applications in the VM by evaluating the memory usage information in the guest with Dynamic Memory. VMs can start with a small amount of memory and they can be assigned more memory dynamically based on the workload of applications running inside.   Overview of Dynamic Memory Concepts   ·         Startup Memory: Startup Memory is the starting amount of memory when Dynamic Memory is enabled for a VM. Dynamic Memory will make sure that this amount of memory is always assigned to the VMs by default.   ·         Maximum Memory: Maximum Memory specifies the maximum amount of memory that a VM can grow to with Dynamic Memory. ·         Memory Demand: Memory Demand is the amount determined by Dynamic Memory as the memory needed by the applications in the VM. In Windows Server 2008 R2 SP1, this is equal to the total amount of committed memory of the VM. ·         Memory Buffer: Memory Buffer is the amount of memory assigned to the VMs in addition to their memory demand to satisfy immediate memory requirements and file cache needs.   Once Dynamic Memory is enabled for a VM, it will start with the “Startup Memory”. After the boot process Dynamic Memory will determine the “Memory Demand” of the VM. Based on this memory demand it will determine the amount of “Memory Buffer” that needs to be assigned to the VM. Dynamic Memory will assign the total of “Memory Demand” and “Memory Buffer” to the VM as long as this value is less than “Maximum Memory” and as long as physical memory is available on the host.   What happens when there is not enough physical memory available on the host?   Once there is not enough physical memory on the host to satisfy VM needs, Dynamic Memory will assign less than needed amount of memory to the VMs based on their importance. A concept known as “Memory Weight” is used to determine how much VMs should be penalized based on their needed amount of memory. “Memory Weight” is a configuration setting on the VM. It can be configured to be higher for the VMs with high performance requirements. Under high memory pressure on the host, the “Memory Weight” of the VMs are evaluated in a relative manner and the VMs with lower relative “Memory Weight” will be penalized more than the ones with higher “Memory Weight”.   Dynamic Memory Configuration   Based on these concepts “Startup Memory”, “Maximum Memory”, “Memory Buffer” and “Memory Weight” can be configured as shown below in Windows Server 2008 R2 SP1 Hyper-V Manager. Memory Demand is automatically calculated by Dynamic Memory once VMs start running.     Dynamic Memory Monitoring    In Windows Server 2008 R2 SP1, Hyper-V Manager displays the memory status of VMs in the following three columns:         ·         Assigned Memory represents the current physical memory assigned to the VM. In regular conditions this will be equal to the sum of “Memory Demand” and “Memory Buffer” assigned to the VM. When there is not enough memory on the host, this value can go below the Memory Demand determined for the VM. ·         Memory Demand displays the current “Memory Demand” determined for the VM. ·         Memory Status displays the current memory status of the VM. This column can represent three values for a VM: o   OK: In this condition the VM is assigned the total of Memory Demand and Memory Buffer it needs. o   Low: In this condition the VM is assigned all the Memory Demand and a certain percentage of the Memory Buffer it needs. o   Warning: In this condition the VM is assigned a lower memory than its Memory Demand. When VMs are running in this condition, it’s likely that they will exhibit performance problems due to internal paging happening in the VM.    So far so good! But how does it work with SQL Server?   SQL Server is aggressive in terms of memory usage for good reasons. This raises the question: How do SQL Server and Dynamic Memory work together? To understand the full story, we’ll first need to understand how SQL Server Memory Management works. This will be covered in our second post in “SQL and Dynamic Memory” series. Meanwhile if you want to dive deeper into Dynamic Memory you can check the below posts from the Windows Virtualization Team Blog:   http://blogs.technet.com/virtualization/archive/2010/03/18/dynamic-memory-coming-to-hyper-v.aspx   http://blogs.technet.com/virtualization/archive/2010/03/25/dynamic-memory-coming-to-hyper-v-part-2.aspx   http://blogs.technet.com/virtualization/archive/2010/04/07/dynamic-memory-coming-to-hyper-v-part-3.aspx   http://blogs.technet.com/b/virtualization/archive/2010/04/21/dynamic-memory-coming-to-hyper-v-part-4.aspx   http://blogs.technet.com/b/virtualization/archive/2010/05/20/dynamic-memory-coming-to-hyper-v-part-5.aspx   http://blogs.technet.com/b/virtualization/archive/2010/07/12/dynamic-memory-coming-to-hyper-v-part-6.aspx   - Serdar Sutay   Originally posted at http://blogs.msdn.com/b/sqlosteam/

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  • SQL Server and Hyper-V Dynamic Memory - Part 1

    - by SQLOS Team
    SQL and Dynamic Memory Blog Post Series   Hyper-V Dynamic Memory is a new feature in Windows Server 2008 R2 SP1 that allows the memory assigned to guest virtual machines to vary according to demand. Using this feature with SQL Server is supported, but how well does it work in an environment where available memory can vary dynamically, especially since SQL Server likes memory, and is not very eager to let go of it? The next three posts will look at this question in detail. In Part 1 Serdar Sutay, a program manager in the Windows Hyper-V team, introduces Dynamic Memory with an overview of the basic architecture, configuration and monitoring concepts. In subsequent parts we will look at SQL Server memory handling, and develop some guidelines on using SQL Server with Dynamic Memory.   Part 1: Dynamic Memory Introduction   In virtualized environments memory is often the bottleneck for reaching higher VM densities. In Windows Server 2008 R2 SP1 Hyper-V introduced a new feature “Dynamic Memory” to improve VM densities on Hyper-V hosts. Dynamic Memory increases the memory utilization in virtualized environments by enabling VM memory to be changed dynamically when the VM is running.   This brings up the question of how to utilize this feature with SQL Server VMs as SQL Server performance is very sensitive to the memory being used. In the next three posts we’ll discuss the internals of Dynamic Memory, SQL Server Memory Management and how to use Dynamic Memory with SQL Server VMs.   Memory Utilization Efficiency in Virtualized Environments   The primary reason memory is usually the bottleneck for higher VM densities is that users tend to be generous when assigning memory to their VMs. Here are some memory sizing practices we’ve heard from customers:   ·         I assign 4 GB of memory to my VMs. I don’t know if all of it is being used by the applications but no one complains. ·         I take the minimum system requirements and add 50% more. ·         I go with the recommendations provided by my software vendor.   In reality correctly sizing a virtual machine requires significant effort to monitor the memory usage of the applications. Since this is not done in most environments, VMs are usually over-provisioned in terms of memory. In other words, a SQL Server VM that is assigned 4 GB of memory may not need to use 4 GB.   How does Dynamic Memory help?   Dynamic Memory improves the memory utilization by removing the requirement to determine the memory need for an application. Hyper-V determines the memory needed by applications in the VM by evaluating the memory usage information in the guest with Dynamic Memory. VMs can start with a small amount of memory and they can be assigned more memory dynamically based on the workload of applications running inside.   Overview of Dynamic Memory Concepts   ·         Startup Memory: Startup Memory is the starting amount of memory when Dynamic Memory is enabled for a VM. Dynamic Memory will make sure that this amount of memory is always assigned to the VMs by default.   ·         Maximum Memory: Maximum Memory specifies the maximum amount of memory that a VM can grow to with Dynamic Memory. ·         Memory Demand: Memory Demand is the amount determined by Dynamic Memory as the memory needed by the applications in the VM. In Windows Server 2008 R2 SP1, this is equal to the total amount of committed memory of the VM. ·         Memory Buffer: Memory Buffer is the amount of memory assigned to the VMs in addition to their memory demand to satisfy immediate memory requirements and file cache needs.   Once Dynamic Memory is enabled for a VM, it will start with the “Startup Memory”. After the boot process Dynamic Memory will determine the “Memory Demand” of the VM. Based on this memory demand it will determine the amount of “Memory Buffer” that needs to be assigned to the VM. Dynamic Memory will assign the total of “Memory Demand” and “Memory Buffer” to the VM as long as this value is less than “Maximum Memory” and as long as physical memory is available on the host.   What happens when there is not enough physical memory available on the host?   Once there is not enough physical memory on the host to satisfy VM needs, Dynamic Memory will assign less than needed amount of memory to the VMs based on their importance. A concept known as “Memory Weight” is used to determine how much VMs should be penalized based on their needed amount of memory. “Memory Weight” is a configuration setting on the VM. It can be configured to be higher for the VMs with high performance requirements. Under high memory pressure on the host, the “Memory Weight” of the VMs are evaluated in a relative manner and the VMs with lower relative “Memory Weight” will be penalized more than the ones with higher “Memory Weight”.   Dynamic Memory Configuration   Based on these concepts “Startup Memory”, “Maximum Memory”, “Memory Buffer” and “Memory Weight” can be configured as shown below in Windows Server 2008 R2 SP1 Hyper-V Manager. Memory Demand is automatically calculated by Dynamic Memory once VMs start running.     Dynamic Memory Monitoring    In Windows Server 2008 R2 SP1, Hyper-V Manager displays the memory status of VMs in the following three columns:         ·         Assigned Memory represents the current physical memory assigned to the VM. In regular conditions this will be equal to the sum of “Memory Demand” and “Memory Buffer” assigned to the VM. When there is not enough memory on the host, this value can go below the Memory Demand determined for the VM. ·         Memory Demand displays the current “Memory Demand” determined for the VM. ·         Memory Status displays the current memory status of the VM. This column can represent three values for a VM: o   OK: In this condition the VM is assigned the total of Memory Demand and Memory Buffer it needs. o   Low: In this condition the VM is assigned all the Memory Demand and a certain percentage of the Memory Buffer it needs. o   Warning: In this condition the VM is assigned a lower memory than its Memory Demand. When VMs are running in this condition, it’s likely that they will exhibit performance problems due to internal paging happening in the VM.    So far so good! But how does it work with SQL Server?   SQL Server is aggressive in terms of memory usage for good reasons. This raises the question: How do SQL Server and Dynamic Memory work together? To understand the full story, we’ll first need to understand how SQL Server Memory Management works. This will be covered in our second post in “SQL and Dynamic Memory” series. Meanwhile if you want to dive deeper into Dynamic Memory you can check the below posts from the Windows Virtualization Team Blog:   http://blogs.technet.com/virtualization/archive/2010/03/18/dynamic-memory-coming-to-hyper-v.aspx   http://blogs.technet.com/virtualization/archive/2010/03/25/dynamic-memory-coming-to-hyper-v-part-2.aspx   http://blogs.technet.com/virtualization/archive/2010/04/07/dynamic-memory-coming-to-hyper-v-part-3.aspx   http://blogs.technet.com/b/virtualization/archive/2010/04/21/dynamic-memory-coming-to-hyper-v-part-4.aspx   http://blogs.technet.com/b/virtualization/archive/2010/05/20/dynamic-memory-coming-to-hyper-v-part-5.aspx   http://blogs.technet.com/b/virtualization/archive/2010/07/12/dynamic-memory-coming-to-hyper-v-part-6.aspx   - Serdar Sutay   Originally posted at http://blogs.msdn.com/b/sqlosteam/

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  • SQL Server and Hyper-V Dynamic Memory Part 3

    - by SQLOS Team
    In parts 1 and 2 of this series we looked at the basics of Hyper-V Dynamic Memory and SQL Server memory management. In this part Serdar looks at configuration guidelines for SQL Server memory management. Part 3: Configuration Guidelines for Hyper-V Dynamic Memory and SQL Server Now that we understand SQL Server Memory Management and Hyper-V Dynamic Memory basics, let’s take a look at general configuration guidelines in order to utilize benefits of Hyper-V Dynamic Memory in your SQL Server VMs. Requirements Host Operating System Requirements Hyper-V Dynamic Memory feature is introduced with Windows Server 2008 R2 SP1. Therefore in order to use Dynamic Memory for your virtual machines, you need to have Windows Server 2008 R2 SP1 or Microsoft Hyper-V Server 2008 R2 SP1 in your Hyper-V host. Guest Operating System Requirements In addition to this Dynamic Memory is only supported in Standard, Web, Enterprise and Datacenter editions of windows running inside VMs. Make sure that your VM is running one of these editions. For additional requirements on each operating system see “Dynamic Memory Configuration Guidelines” here. SQL Server Requirements All versions of SQL Server support Hyper-V Dynamic Memory. However, only certain editions of SQL Server are aware of dynamically changing system memory. To have a truly dynamic environment for your SQL Server VMs make sure that you are running one of the SQL Server editions listed below: ·         SQL Server 2005 Enterprise ·         SQL Server 2008 Enterprise / Datacenter Editions ·         SQL Server 2008 R2 Enterprise / Datacenter Editions Configuration guidelines for other versions of SQL Server are covered below in the FAQ section. Guidelines for configuring Dynamic Memory Parameters Here is how to configure Dynamic Memory for your SQL VMs in a nutshell: Hyper-V Dynamic Memory Parameter Recommendation Startup RAM 1 GB + SQL Min Server Memory Maximum RAM > SQL Max Server Memory Memory Buffer % 5 Memory Weight Based on performance needs   Startup RAM In order to ensure that your SQL Server VMs can start correctly, ensure that Startup RAM is higher than configured SQL Min Server Memory for your VMs. Otherwise SQL Server service will need to do paging in order to start since it will not be able to see enough memory during startup. Also note that Startup Memory will always be reserved for your VMs. This will guarantee a certain level of performance for your SQL Servers, however setting this too high will limit the consolidation benefits you’ll get out of your virtualization environment. Maximum RAM This one is obvious. If you’ve configured SQL Max Server Memory for your SQL Server, make sure that Dynamic Memory Maximum RAM configuration is higher than this value. Otherwise your SQL Server will not grow to memory values higher than the value configured for Dynamic Memory. Memory Buffer % Memory buffer configuration is used to provision file cache to virtual machines in order to improve performance. Due to the fact that SQL Server is managing its own buffer pool, Memory Buffer setting should be configured to the lowest value possible, 5%. Configuring a higher memory buffer will prevent low resource notifications from Windows Memory Manager and it will prevent reclaiming memory from SQL Server VMs. Memory Weight Memory weight configuration defines the importance of memory to a VM. Configure higher values for the VMs that have higher performance requirements. VMs with higher memory weight will have more memory under high memory pressure conditions on your host. Questions and Answers Q1 – Which SQL Server memory model is best for Dynamic Memory? The best SQL Server model for Dynamic Memory is “Locked Page Memory Model”. This memory model ensures that SQL Server memory is never paged out and it’s also adaptive to dynamically changing memory in the system. This will be extremely useful when Dynamic Memory is attempting to remove memory from SQL Server VMs ensuring no SQL Server memory is paged out. You can find instructions on configuring “Locked Page Memory Model” for your SQL Servers here. Q2 – What about other SQL Server Editions, how should I configure Dynamic Memory for them? Other editions of SQL Server do not adapt to dynamically changing environments. They will determine how much memory they should allocate during startup and don’t change this value afterwards. Therefore make sure that you configure a higher startup memory for your VM because that will be all the memory that SQL Server utilize Tune Maximum Memory and Memory Buffer based on the other workloads running on the system. If there are no other workloads consider using Static Memory for these editions. Q3 – What if I have multiple SQL Server instances in a VM? Having multiple SQL Server instances in a VM is not a general recommendation for predictable performance, manageability and isolation. In order to achieve a predictable behavior make sure that you configure SQL Min Server Memory and SQL Max Server Memory for each instance in the VM. And make sure that: ·         Dynamic Memory Startup Memory is greater than the sum of SQL Min Server Memory values for the instances in the VM ·         Dynamic Memory Maximum Memory is greater than the sum of SQL Max Server Memory values for the instances in the VM Q4 – I’m using Large Page Memory Model for my SQL Server. Can I still use Dynamic Memory? The short answer is no. SQL Server does not dynamically change its memory size when configured with Large Page Memory Model. In virtualized environments Hyper-V provides large page support by default. Most of the time, Large Page Memory Model doesn’t bring any benefits to a SQL Server if it’s running in virtualized environments. Q5 – How do I monitor SQL performance when I’m trying Dynamic Memory on my VMs? Use the performance counters below to monitor memory performance for SQL Server: Process - Working Set: This counter is available in the VM via process performance counters. It represents the actual amount of physical memory being used by SQL Server process in the VM. SQL Server – Buffer Cache Hit Ratio: This counter is available in the VM via SQL Server counters. This represents the paging being done by SQL Server. A rate of 90% or higher is desirable. Conclusion These blog posts are a quick start to a story that will be developing more in the near future. We’re still continuing our testing and investigations to provide more detailed configuration guidelines with example performance numbers with a white paper in the upcoming months. Now it’s time to give SQL Server and Hyper-V Dynamic Memory a try. Use this guidelines to kick-start your environment. See what you think about it and let us know of your experiences. - Serdar Sutay Originally posted at http://blogs.msdn.com/b/sqlosteam/

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  • Best WordPress Video Themes for a Video Blog

    - by Matt
    WordPress has made blogging so easy & fun, there are plenty of video blog themes that you can pick from. However there is always rarity in quality. We at JustSkins have gathered some high quality, tested, tried video themes list. We tried to find some WordPress themes for vloggers, we knew all along that there are very few yet some of them are just brilliant premium wordpress themes. More on that later, let’s find out some themes which you can install on your vlog right now. On Demand 2.0 A fully featured video WordPress premium theme from Press75. Includes  theme options panel for personal customization and content management options, post thumbnails, drop down navigation menu, custom widgets and lots more. Demo | Price: $75 | DOWNLOAD VideoZoom An outstanding premium WordPress video theme from WPZoom featuring standard video integration plus additionally it lets you play any video from all the popular video websites. VideoZoom theme also includes a featured video slider on the homepage, multiple post layout options, theme options panel, WordPress 3.0 menus, backgrounds etc. Demo | Price Single: $69, Developer: $149 | DOWNLOAD Vidley Press75′s easy to use premium WordPress video theme. This theme is full of great features, it can be a perfect choice if you intend to make it a portal someday..it is scalable to shape like a news portal or portfolios. The Theme is widget ready. It has ability to place Featured Content and Featured Category section on homepage. The drop down menus on this theme are nifty! Demo | Price $75 |  DOWNLOAD Live A video premium WordPress theme designed for streaming video, and live event broadcasting. You can embed live video broadcasts from third party services like Ustream etc, and features a prominent timer counting down to the next broadcast, rotating bumper images, Facebook and twitter integration for viewer interaction, theme admin options panel and more make this theme one of its kind. Demo | Price: $99, Support License: $149| DOWNLOAD Groovy Video Woo Themes is pioneer in making beautiful wordpress themes,  One such theme that is built by keeping the video blogger in mind. The Groovy Theme is very colourful video blog premium WordPress theme. Creating video posts is quick and easy with just a copy / paste of the video’s embed code. The theme enables automatic video resizing, plenty of widgets. Also allows you to pick color of your choice. Price: Single Use $70, Developer Price : $150 | DOWNLOAD Video Flick Another exciting Video blogging theme by Press75 is the Video Flick theme. Video Flick is compatible with any video service that provides embed code, or if you want to host your own videos, Video Flick is also compatible with FLV (Flash Video) and Quicktime formats. This theme allows you to either keep standard Blog and/or have Video posts. You can pick a light or dark color option. Demo | Price : $75 | DOWNLOAD Woo Tube An excellent video premium WordPress theme from Woothemes, the WooTube theme is a very easy video blog platform, as it comes with  automatic video resizing, a completely widgetised sidebar and 7 different colour schemes to choose from. The theme  has the ability to be used as a normal blog or a gallery. A very wise choice! Price: Single Use $70, Developer Price : $150 | DOWNLOAD eVid Theme One of the nicest WordPress theme designed specifically for the video bloggers. Simple to integrate videos from video hosts such as Youtube, Vimeo, Veoh, MetaCafe etc. Demo | Price: $19 | DOWNLOAD Tubular A video premium WordPress theme from StudioPress which can also be used as a used a simple website or a blog. The theme is also available in a light color version. Demo | Price: $59.95 | DOWNLOAD Video Elements 2.0 Another beautiful video premium WordPress theme from Press75. Video Elements 2.0 has been re-designed to include the features you need to easily run and maintain a video blog on WordPress. Demo | Price: $75 | DOWNLOAD TV Elements 3.0 The theme includes a featured video carousel on the homepage which can display any number of videos, a featured category section which displays up to 12 channels, creates automatic thumbnails and a lots more… Demo | Price: $75 | DOWNLOAD Wave A beautiful premium video wordpress theme, Flexible & Super cool looking. The Design has very earthy feel to it. The theme has featured video area & latest listing on the homepage. All in all a simple design no fancy features. Demo | Price: $35 | Download

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  • Smithsonian Showcases Video Game History with The Art of Video Games [Video]

    - by Jason Fitzpatrick
    The Art of Video Games is the Smithsonian’s look at the history of video games; check out this video trailer to see what the exhibition is all about and hear from some notable folks. From the Smithsonian listing for the exhibition: The Art of Video Games is one of the first exhibitions to explore the forty-year evolution of video games as an artistic medium, with a focus on striking visual effects and the creative use of new technologies. It features some of the most influential artists and designers during five eras of game technology, from early pioneers to contemporary designers. The exhibition focuses on the interplay of graphics, technology and storytelling through some of the best games for twenty gaming systems ranging from the Atari VCS to the PlayStation 3. The exhibit will be at the Smithsonian until the end of September and will then begin touring the country. Hit up the link below for more information. The Art of Video Games Tour [via Neatorama] How To Properly Scan a Photograph (And Get An Even Better Image) The HTG Guide to Hiding Your Data in a TrueCrypt Hidden Volume Make Your Own Windows 8 Start Button with Zero Memory Usage

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  • Ten Benefits to Video Game Play [Video]

    - by Jason Fitzpatrick
    Want to justify spending the whole weekend playing video games? We’re here to help. Courtesy of AllTime10, this video rounds up ten benefits to playing video games ranging from improved dexterity to pain relief. Want to highlight a benefit not listed in the video? Sound off in the comments. [via Geeks Are Sexy] Why Does 64-Bit Windows Need a Separate “Program Files (x86)” Folder? Why Your Android Phone Isn’t Getting Operating System Updates and What You Can Do About It How To Delete, Move, or Rename Locked Files in Windows

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  • SQL SERVER – SSMS: Memory Usage By Memory Optimized Objects Report

    - by Pinal Dave
    At conferences and at speaking engagements at the local UG, there is one question that keeps on coming which I wish were never asked. The question around, “Why is SQL Server using up all the memory and not releasing even when idle?” Well, the answer can be long and with the release of SQL Server 2014, this got even more complicated. This release of SQL Server 2014 has the option of introducing In-Memory OLTP which is completely new concept and our dependency on memory has increased multifold. In reality, nothing much changes but we have memory optimized objects (Tables and Stored Procedures) additional which are residing completely in memory and improving performance. As a DBA, it is humanly impossible to get a hang of all the innovations and the new features introduced in the next version. So today’s blog is around the report added to SSMS which gives a high level view of this new feature addition. This reports is available only from SQL Server 2014 onwards because the feature was introduced in SQL Server 2014. Earlier versions of SQL Server Management Studio would not show the report in the list. If we try to launch the report on the database which is not having In-Memory File group defined, then we would see the message in report. To demonstrate, I have created new fresh database called MemoryOptimizedDB with no special file group. Here is the query used to identify whether a database has memory-optimized file group or not. SELECT TOP(1) 1 FROM sys.filegroups FG WHERE FG.[type] = 'FX' Once we add filegroup using below command, we would see different version of report. USE [master] GO ALTER DATABASE [MemoryOptimizedDB] ADD FILEGROUP [IMO_FG] CONTAINS MEMORY_OPTIMIZED_DATA GO The report is still empty because we have not defined any Memory Optimized table in the database.  Total allocated size is shown as 0 MB. Now, let’s add the folder location into the filegroup and also created few in-memory tables. We have used the nomenclature of IMO to denote “InMemory Optimized” objects. USE [master] GO ALTER DATABASE [MemoryOptimizedDB] ADD FILE ( NAME = N'MemoryOptimizedDB_IMO', FILENAME = N'E:\Program Files\Microsoft SQL Server\MSSQL12.SQL2014\MSSQL\DATA\MemoryOptimizedDB_IMO') TO FILEGROUP [IMO_FG] GO You may have to change the path based on your SQL Server configuration. Below is the script to create the table. USE MemoryOptimizedDB GO --Drop table if it already exists. IF OBJECT_ID('dbo.SQLAuthority','U') IS NOT NULL DROP TABLE dbo.SQLAuthority GO CREATE TABLE dbo.SQLAuthority ( ID INT IDENTITY NOT NULL, Name CHAR(500)  COLLATE Latin1_General_100_BIN2 NOT NULL DEFAULT 'Pinal', CONSTRAINT PK_SQLAuthority_ID PRIMARY KEY NONCLUSTERED (ID), INDEX hash_index_sample_memoryoptimizedtable_c2 HASH (Name) WITH (BUCKET_COUNT = 131072) ) WITH (MEMORY_OPTIMIZED = ON, DURABILITY = SCHEMA_AND_DATA) GO As soon as above script is executed, table and index both are created. If we run the report again, we would see something like below. Notice that table memory is zero but index is using memory. This is due to the fact that hash index needs memory to manage the buckets created. So even if table is empty, index would consume memory. More about the internals of how In-Memory indexes and tables work will be reserved for future posts. Now, use below script to populate the table with 10000 rows INSERT INTO SQLAuthority VALUES (DEFAULT) GO 10000 Here is the same report after inserting 1000 rows into our InMemory table.    There are total three sections in the whole report. Total Memory consumed by In-Memory Objects Pie chart showing memory distribution based on type of consumer – table, index and system. Details of memory usage by each table. The information about all three is taken from one single DMV, sys.dm_db_xtp_table_memory_stats This DMV contains memory usage statistics for both user and system In-Memory tables. If we query the DMV and look at data, we can easily notice that the system tables have negative object IDs.  So, to look at user table memory usage, below is the over-simplified version of query. USE MemoryOptimizedDB GO SELECT OBJECT_NAME(OBJECT_ID), * FROM sys.dm_db_xtp_table_memory_stats WHERE OBJECT_ID > 0 GO This report would help DBA to identify which in-memory object taking lot of memory which can be used as a pointer for designing solution. I am sure in future we will discuss at lengths the whole concept of In-Memory tables in detail over this blog. To read more about In-Memory OLTP, have a look at In-Memory OLTP Series at Balmukund’s Blog. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL Tagged: SQL Memory, SQL Reports

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  • A Brief History of Video Games [Video]

    - by Asian Angel
    Are you ready to take a trip down nostalgia lane? This compilation of video game footage provides a brief but interesting look at some of our favorite games over the years and how much the look and feel of them has changed. A Brief History of Video Games [via Neatorama] HTG Explains: What Is RSS and How Can I Benefit From Using It? HTG Explains: Why You Only Have to Wipe a Disk Once to Erase It HTG Explains: Learn How Websites Are Tracking You Online

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  • How to create 1280x720 music video with static pic

    - by monov
    I wanna upload a song to youtube, and put a static 1280x720 pic as the video. I'd like the format to be one of the recommended ones. I tried Windows Movie Maker 2.6 but it only generated a 640x480 video. I also tried Windows Live Movie Maker but it put a big black margin around my pic (and unexplicably, produced a video with a slightly lower volume). Do you know any way to do what I need?

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  • The Citroen GT – An Awesome Video Game Car Brought to Life [Video]

    - by Asian Angel
    If you are familiar with the Gran Turismo 5 video game releases, then you will definitely recognize the Citroen GT. French automaker Citroen and Japanese racing simulation developer Polyphony Digital decided to take things one step further and collaborated to bring this awesome car to life. Then they turned it loose on the streets of London! Citroen GT on the Streets of London (HD) [via BoingBoing] You can learn more about the Citroen GT, car show appearances, and more at Wikipedia: GT by Citroen Latest Features How-To Geek ETC How to Enable User-Specific Wireless Networks in Windows 7 How to Use Google Chrome as Your Default PDF Reader (the Easy Way) How To Remove People and Objects From Photographs In Photoshop Ask How-To Geek: How Can I Monitor My Bandwidth Usage? Internet Explorer 9 RC Now Available: Here’s the Most Interesting New Stuff Here’s a Super Simple Trick to Defeating Fake Anti-Virus Malware The Citroen GT – An Awesome Video Game Car Brought to Life [Video] Final Man vs. Machine Round of Jeopardy Unfolds; Watson Dominates Give Chromium-Based Browser Desktop Notifications a Native System Look in Ubuntu Chrome Time Track Is a Simple Task Time Tracker Google Sky Map Turns Your Android Phone into a Digital Telescope Walking Through a Seaside Village Wallpaper

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  • Python Memory leak - Solved, but still puzzled

    - by disappearedng
    Dear everyone, I have successfully debugged my own memory leak problems. However, I have noticed some very strange occurence. for fid, fv in freqDic.iteritems(): outf.write(fid+"\t") #ID for i, term in enumerate(domain): #Vector tfidf = self.tf(term, fv) * self.idf( term, docFreqDic) if i == len(domain) - 1: outf.write("%f\n" % tfidf) else: outf.write("%f\t" % tfidf) outf.flush() print "Memory increased by", int(self.memory_mon.usage()) - startMemory outf.close() def tf(self, term, freqVector): total = freqVector[TOTAL] if total == 0: return 0 if term not in freqVector: ## When you don't have these lines memory leaks occurs return 0 ## return float(freqVector[term]) / freqVector[TOTAL] def idf(self, term, docFrequencyPerTerm): if term not in docFrequencyPerTerm: return 0 return math.log( float(docFrequencyPerTerm[TOTAL])/docFrequencyPerTerm[term]) Basically let me describe my problem: 1) I am doing tfidf calculations 2) I traced that the source of memory leaks is coming from defaultdict. 3) I am using the memory_mon from http://stackoverflow.com/questions/276052/how-to-get-current-cpu-and-ram-usage-in-python 4) The reason for my memory leaks is as follows: a) in self.tf, if the lines: if term not in freqVector: return 0 are not added that will cause the memory leak. (I verified this myself using memory_mon and noticed a sharp increase in memory that kept on increasing) The solution to my problem was 1) since fv is a defaultdict, any reference to it that are not found in fv will create an entry. Over a very large domain, this will cause memory leaks. I decided to use dict instead of default dict and the memory problem did go away. My only puzzle is: since fv is created in "for fid, fv in freqDic.iteritems():" shouldn't fv be destroyed at the end of every for loop? I tried putting gc.collect() at the end of the for loop but gc was not able to collect everything (returns 0). Yes, the hypothesis is right, but the memory should stay fairly consistent with ever for loop if for loops do destroy all temp variables. This is what it looks like with that two line in self.tf: Memory increased by 12 Memory increased by 948 Memory increased by 28 Memory increased by 36 Memory increased by 36 Memory increased by 32 Memory increased by 28 Memory increased by 32 Memory increased by 32 Memory increased by 32 Memory increased by 40 Memory increased by 32 Memory increased by 32 Memory increased by 28 and without the the two line: Memory increased by 1652 Memory increased by 3576 Memory increased by 4220 Memory increased by 5760 Memory increased by 7296 Memory increased by 8840 Memory increased by 10456 Memory increased by 12824 Memory increased by 13460 Memory increased by 15000 Memory increased by 17448 Memory increased by 18084 Memory increased by 19628 Memory increased by 22080 Memory increased by 22708 Memory increased by 24248 Memory increased by 26704 Memory increased by 27332 Memory increased by 28864 Memory increased by 30404 Memory increased by 32856 Memory increased by 33552 Memory increased by 35024 Memory increased by 36564 Memory increased by 39016 Memory increased by 39924 Memory increased by 42104 Memory increased by 42724 Memory increased by 44268 Memory increased by 46720 Memory increased by 47352 Memory increased by 48952 Memory increased by 50428 Memory increased by 51964 Memory increased by 53508 Memory increased by 55960 Memory increased by 56584 Memory increased by 58404 Memory increased by 59668 Memory increased by 61208 Memory increased by 62744 Memory increased by 64400 I look forward to your answer

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  • Memory mapped files causes low physical memory

    - by harik
    I have a 2GB RAM and running a memory intensive application and going to low available physical memory state and system is not responding to user actions, like opening any application or menu invocation etc. How do I trigger or tell the system to swap the memory to pagefile and free physical memory? I'm using Windows XP. If I run the same application on 4GB RAM machine it is not the case, system response is good. After getting choked of available physical memory system automatically swaps to pagefile and free physical memory, not that bad as 2GB system. To overcome this problem (on 2GB machine) attempted to use memory mapped files for large dataset which are allocated by application. In this case virtual memory of the application(process) is fine but system cache is high and same problem as above that physical memory is less. Even though memory mapped file is not mapped to process virtual memory system cache is high. why???!!! :( Any help is appreciated. Thanks.

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  • When Your Favorite Video Game Characters go Trick-or-Treating [Video]

    - by Asian Angel
    Halloween has arrived and all of your favorite video game characters are out and about collecting lots of candy goodness. The question is whether or not all will be successful in collecting treats or if the tricks will be on them! Note: Video contains some language that may be considered inappropriate. Videogame Trick-or-Treating [Dorkly] 6 Start Menu Replacements for Windows 8 What Is the Purpose of the “Do Not Cover This Hole” Hole on Hard Drives? How To Log Into The Desktop, Add a Start Menu, and Disable Hot Corners in Windows 8

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  • Properties!Details (run-time length)

    - by user33666
    When you take clips and turn them into computer playable files, whether .TS or .MOV or .MPG, .MP4, .VOB, etc., do you as the producer actually manually write into some field in a "Details" section of your video editor what the video length is, so that it can be read by the eventual user's video player? Or is this activity performed automatically by the video editor? I'm asking because: when a mouse is passed over a file line item in Windows 7 Shell (Windows Explorer) a little box is displayed where the mouse meets the file line item and provides simple name and size properties, one of which (if it's a media file) is run length. How does that figure get there into the file (later to be read be Windows or OS X)? Thanks for any info.

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  • Automating video generation by adding an intro and a trailing video to the main video

    - by DevDewboy
    I have a video project I am trying to compile. Here is the overview: I have many videos which are 5 minute training sessions - Main video. The Intro Video will be a standard 5 second video that will have the Video title and Author. This will be concatenated to the main video. The Trailing Video will pretty much be a stock video that will be concatenated to the main video and have all the legaleze etc. The Intro Vid will smoothly fade into the main vid as well as when you get to end of the main video it will fade into the Trailing video nicely. The product is a new video with a Intro, Main & Trailer video all in one! The concept is really that simple. In fact I found an example of a person who has solved this and is doing exactly what I want. This solution is a Bash script that takes a config file that has the title, author, etc. and generates the Intro, the Ending and creates the resulting video with them concatenated. I am using Ubuntu 12.04 Server. I have been trying to take this as a sample and just running it with no luck because of incompatibility errors. I even attempted to convert it using .MP4 containers or .MKV. I am running into error after error or incompatibility issues. I went as far as changing out the ffmpeg binary using the 25 Oct 2013 version from http://ffmpeg.gusari.org/static/64bit/ which I like as I don't have to worry about rebuilding the binary. Almost successful but again I have some error which I cannot solve. I know part of the problem is the fact that video production, codecs, formats is a completely new field for me so I am attempting to work through this new territory. Perhaps an expert here has something similar that I can use as a guideline that uses MP4 or h.264 format. Or take the solution above from the URL and make it work with a more up-to-date version of ffmpeg. I will include the script and its parameter file and the output (abbreviated because of limitation) below. Basically as the script stands right now, when run I get the error [matroska,webm @ 0x27bbee0] Read error. This error is return from the 'reasembleVideo' routine from the first ffmpeg command. The following is the Parameter File: #!/bin/bash INPUTFILE="ssh_main.mp4" LOGO="logo.png" LOGOLENGTH="1" SPEAKER="Jason" TITLE="Basic SSH Video" DATE="October 28, 2013" SCENESTART="00:00:01" SCENEDURATION="00:00:09" OUTPUTFILE="ssh_basic_1" } The following is the script I am running. The ${OUTPUTFILE} being used is a small 2 minute video I create in screen-o-matic in MP4 format. Script on PasteBin (too long for Super User post)

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  • Removing broken packages on distro update (13.04 to 13.10)

    - by user203974
    i'm kinda new to linux. last night i tried upgrading from 13.04 to 13.10 but i got the "could not calculate" error. i read this question and found this error in the main log: Dist-upgrade failed: 'E:Unable to correct problems, you have held broken packages.' and here's a list of my broken packages : Broken libwayland-client0:amd64 Conflicts on libwayland0 [ amd64 ] < 1.0.5-0ubuntu1 > ( libs ) (< 1.1.0) Broken libpam-systemd:amd64 Conflicts on libpam-xdg-support [ amd64 ] < 0.2-0ubuntu2 > ( admin ) Broken cups-filters:amd64 Conflicts on ghostscript-cups [ amd64 ] < 9.07~dfsg2-0ubuntu3.1 > ( text ) Broken libharfbuzz0a:amd64 Breaks on libharfbuzz0 [ amd64 ] < 0.9.13-1 > ( libs ) Broken libunity-scopes-json-def-desktop:amd64 Conflicts on libunity-common [ amd64 ] < 6.90.2daily13.04.05-0ubuntu1 > ( gnome ) (< 7.0.7) Broken libunity-scopes-json-def-desktop:amd64 Conflicts on libunity-common [ i386 ] < none > ( none ) (< 7.0.7) Broken libaccount-plugin-generic-oauth:amd64 Conflicts on account-plugin-generic-oauth [ amd64 ] < 0.10bzr13.03.26-0ubuntu1.1 > ( gnome ) (< 0.10bzr13.04.30) Broken libaccount-plugin-generic-oauth:amd64 Breaks on account-plugin-generic-oauth [ amd64 ] < 0.10bzr13.03.26-0ubuntu1.1 > ( gnome ) (< 0.10bzr13.04.30) Broken python3-aptdaemon.pkcompat:amd64 Breaks on libpackagekit-glib2-14 [ amd64 ] < 0.7.6-3ubuntu1 > ( libs ) (<= 0.7.6-4) Broken libsnmp-base:amd64 Breaks on libsnmp15 [ amd64 ] < 5.4.3~dfsg-2.7ubuntu1 > ( libs ) (< 5.7.2~dfsg-5) Broken libunity-core-6.0-8:amd64 Conflicts on unity-common [ amd64 ] < 7.0.0daily13.06.19~13.04-0ubuntu1 > ( gnome ) Broken python3-uno:amd64 Conflicts on python-uno [ amd64 ] < 1:4.0.4-0ubuntu1 > ( python ) Broken unity-scope-home:amd64 Conflicts on unity-lens-shopping [ amd64 ] < 6.8.0daily13.03.04-0ubuntu1 > ( gnome ) Broken xserver-xorg-video-mach64:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken usb-modeswitch-data:amd64 Breaks on usb-modeswitch [ amd64 ] < 1.2.3+repack0-1ubuntu3 > ( comm ) (< 1.2.6) Broken unity-gtk2-module:amd64 Conflicts on appmenu-gtk [ amd64 ] < 12.10.3daily13.04.03-0ubuntu1 > ( libs ) Broken xserver-xorg-video-intel:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-r128:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken unity-gtk3-module:amd64 Conflicts on appmenu-gtk3 [ amd64 ] < 12.10.3daily13.04.03-0ubuntu1 > ( libs ) Broken xserver-xorg-video-nouveau:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-cirrus:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken libbamf3-1:amd64 Depends on bamfdaemon [ amd64 ] < 0.4.0daily13.06.19~13.04-0ubuntu1 -> 0.5.1+13.10.20131011-0ubuntu1 > ( libs ) (= 0.4.0daily13.06.19~13.04-0ubuntu1) Broken bzr-gtk:amd64 Depends on bzr [ amd64 ] < 2.6.0~bzr6571-4ubuntu2 -> 2.6.0-3ubuntu1 > ( devel ) (< 2.6.0) Broken libgphoto2-6-dev:amd64 Conflicts on libgphoto2-2-dev [ amd64 ] < 2.4.14-2 > ( libdevel ) Broken activity-log-manager:amd64 Conflicts on activity-log-manager-common [ amd64 ] < 0.9.4-0ubuntu6.2 > ( utils ) Broken libgjs0d:amd64 Conflicts on libgjs0c [ amd64 ] < 1.34.0-0ubuntu1 > ( libs ) Broken libgtksourceview-3.0-0:amd64 Depends on libgtksourceview-3.0-common [ amd64 ] < 3.6.3-0ubuntu1 -> 3.8.2-0ubuntu1 > ( libs ) (< 3.7) Broken gnome-pie:amd64 Depends on libbamf3-1 [ amd64 ] < 0.4.0daily13.06.19~13.04-0ubuntu1 > ( libs ) Broken libunity-core-6.0-5:amd64 Depends on unity-services [ amd64 ] < 7.0.0daily13.06.19~13.04-0ubuntu1 -> 7.1.2+13.10.20131014.1-0ubuntu1 > ( gnome ) (= 7.0.0daily13.06.19~13.04-0ubuntu1) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-cirrus [ amd64 ] < 1:1.5.2+git20130108.e2bf5b25-0ubuntu0sarvatt > ( x11 ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-intel [ amd64 ] < 2:2.99.904+git20131009.b9ad5b62-0ubuntu0sarvatt~raring > ( x11 ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-nouveau [ amd64 ] < 1:1.0.9+git20130730.300c5a32-0ubuntu0sarvatt~raring > ( x11 ) Broken xserver-xorg-video-ati:amd64 Depends on xserver-xorg-video-r128 [ amd64 ] < 6.9.1+git20130104.24f28a78-0ubuntu0sarvatt > ( x11 ) Broken xserver-xorg-video-ati:amd64 Depends on xserver-xorg-video-mach64 [ amd64 ] < 6.9.4+git20130104.80e62cc1-0ubuntu0sarvatt > ( x11 ) Broken xserver-xorg-video-mach64:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-intel:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-r128:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-nouveau:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-cirrus:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-cirrus [ amd64 ] < 1:1.5.2+git20130108.e2bf5b25-0ubuntu0sarvatt > ( x11 ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-intel [ amd64 ] < 2:2.99.904+git20131009.b9ad5b62-0ubuntu0sarvatt~raring > ( x11 ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-nouveau [ amd64 ] < 1:1.0.9+git20130730.300c5a32-0ubuntu0sarvatt~raring > ( x11 ) Broken xserver-xorg-video-ati:amd64 Depends on xserver-xorg-video-r128 [ amd64 ] < 6.9.1+git20130104.24f28a78-0ubuntu0sarvatt > ( x11 ) Broken xserver-xorg-video-ati:amd64 Depends on xserver-xorg-video-mach64 [ amd64 ] < 6.9.4+git20130104.80e62cc1-0ubuntu0sarvatt > ( x11 ) Broken xserver-xorg-video-mach64:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-intel:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-r128:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-nouveau:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-cirrus:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-cirrus [ amd64 ] < 1:1.5.2+git20130108.e2bf5b25-0ubuntu0sarvatt > ( x11 ) Broken xserver-xorg-video-ati:amd64 Depends on xserver-xorg-video-r128 [ amd64 ] < 6.9.1+git20130104.24f28a78-0ubuntu0sarvatt > ( x11 ) Broken xserver-xorg-video-mach64:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-intel:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-r128:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-nouveau:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-cirrus:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-cirrus [ amd64 ] < 1:1.5.2+git20130108.e2bf5b25-0ubuntu0sarvatt > ( x11 ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-intel [ amd64 ] < 2:2.99.904+git20131009.b9ad5b62-0ubuntu0sarvatt~raring > ( x11 ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-nouveau [ amd64 ] < 1:1.0.9+git20130730.300c5a32-0ubuntu0sarvatt~raring > ( x11 ) Broken xserver-xorg-video-ati:amd64 Depends on xserver-xorg-video-r128 [ amd64 ] < 6.9.1+git20130104.24f28a78-0ubuntu0sarvatt > ( x11 ) Broken xserver-xorg-video-ati:amd64 Depends on xserver-xorg-video-mach64 [ amd64 ] < 6.9.4+git20130104.80e62cc1-0ubuntu0sarvatt > ( x11 ) Broken xserver-xorg-video-mach64:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-intel:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-r128:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-nouveau:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-cirrus:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-cirrus [ amd64 ] < 1:1.5.2+git20130108.e2bf5b25-0ubuntu0sarvatt > ( x11 ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-intel [ amd64 ] < 2:2.99.904+git20131009.b9ad5b62-0ubuntu0sarvatt~raring > ( x11 ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-nouveau [ amd64 ] < 1:1.0.9+git20130730.300c5a32-0ubuntu0sarvatt~raring > ( x11 ) Broken xserver-xorg-video-ati:amd64 Depends on xserver-xorg-video-r128 [ amd64 ] < 6.9.1+git20130104.24f28a78-0ubuntu0sarvatt > ( x11 ) Broken xserver-xorg-video-ati:amd64 Depends on xserver-xorg-video-mach64 [ amd64 ] < 6.9.4+git20130104.80e62cc1-0ubuntu0sarvatt > ( x11 ) Broken xserver-xorg-video-mach64:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-intel:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken libxi6:amd64 Breaks on xserver-xorg-core [ amd64 ] < 2:1.13.4~git20130508+server-1.13-branch.10c42f57-0ubuntu0ricotz~raring -> 2:1.14.3-3ubuntu2 > ( x11 ) (< 2:1.14) Broken xserver-xorg-video-ati:amd64 Depends on xserver-xorg-video-mach64 [ amd64 ] < 6.9.4+git20130104.80e62cc1-0ubuntu0sarvatt > ( x11 ) Broken xserver-xorg-video-intel:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-r128:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-nouveau:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-cirrus:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-ati [ amd64 ] < 1:7.1.99+git20130730.6a278369-0ubuntu0sarvatt~raring -> 1:7.2.0-0ubuntu10 > ( x11 ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-cirrus [ amd64 ] < 1:1.5.2+git20130108.e2bf5b25-0ubuntu0sarvatt > ( x11 ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-intel [ amd64 ] < 2:2.99.904+git20131009.b9ad5b62-0ubuntu0sarvatt~raring > ( x11 ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-nouveau [ amd64 ] < 1:1.0.9+git20130730.300c5a32-0ubuntu0sarvatt~raring > ( x11 ) Broken xserver-xorg-video-ati:amd64 Depends on xorg-video-abi-13 [ amd64 ] < none > ( none ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-ati [ amd64 ] < 1:7.1.99+git20130730.6a278369-0ubuntu0sarvatt~raring -> 1:7.2.0-0ubuntu10 > ( x11 ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-cirrus [ amd64 ] < 1:1.5.2+git20130108.e2bf5b25-0ubuntu0sarvatt > ( x11 ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-intel [ amd64 ] < 2:2.99.904+git20131009.b9ad5b62-0ubuntu0sarvatt~raring > ( x11 ) Broken xserver-xorg-video-all:amd64 Depends on xserver-xorg-video-nouveau [ amd64 ] < 1:1.0.9+git20130730.300c5a32-0ubuntu0sarvatt~raring > ( x11 ) thats a lot of stuff ... do i have to remove them one by one ? will removing them caues any issue ? do i have to install them one by one again after the upgrade ?

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  • Beginner video capture and processing/Camera selection

    - by mattbauch
    I'll soon be undertaking a research project in real-time event recognition but have no experience with the programming aspect of video capture (I'm an upperclassman undergraduate in computer engineering). I want to start off on the right foot so advice from anyone with experience would be great. The ultimate goal is to track events such as a person standing up/sitting down, entering/leaving a room, possibly even shrugging/slumping in posture, etc. from a security camera-like vantage point. First of all, which cameras/companies would you recommend? I'm looking to spend ~$100, more if necessary but not much. Great resolution isn't a must, but is desirable if affordable. What about IP network cameras vs. a USB type webcam? Webcams are less expensive, but IP cameras seem like they'd be much less work to deal with in software. What features should I look for in the camera? Once I've selected a camera, what does converting its output to a series of RGB bitmaps entail? I've never dealt with video encoding/decoding so a starting point or a tutorial that will guide me up to this point would be great if anyone has suggestions. Finally, what is the best (least complicated/most efficient) way to display video from the camera plus my own superimposed images (boxes around events in progress, for instance) in a GUI application? I can work on any operating system in any language. I have some experience with win32 GUIs and Java GUIs. The focus of the project is on the algorithm and so I'm trying to get the video capture/display portion of the app done cleanly and quickly. Thanks for any responses!!

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  • Ubuntu virtual memory caches suck up memory

    - by Tom
    Hey all, I've got an Ubuntu 9.10 64-bit server that seems to use up all available memory. According to my munin graphs, almost all of the memory used up is in the swap cache, cache, and slab cache. (I take this to mean virtual memory caches, am I right in assuming this?) Once memory usage approaches 100%, some (although not all) system services such as SSH become sluggish and unresponsive. After rebooting the system, performance and memory usage become normal for a time. Some interesting tidbits: The system runs Apache 2, MySQL, Munin, and sshd. The memory usage spikes happen at the same time every night (at 10 PM sharp.) There appears to be nothing in the crontab for any of the users, and nothing in /etc/cron.d/* out of the ordinary, let alone something that would occur at 10 PM. My question is, how do I figure out what is causing the memory suckage? I've tried the usual utilities (e.g. ps, top, etc) but I can't seem to find anything unusual. Any ideas? Thanks in advance!

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  • Oracle’s New Memory-Optimized x86 Servers: Getting the Most Out of Oracle Database In-Memory

    - by Josh Rosen, x86 Product Manager-Oracle
    With the launch of Oracle Database In-Memory, it is now possible to perform real-time analytics operations on your business data as it exists at that moment – in the DRAM of the server – and immediately return completely current and consistent data. The Oracle Database In-Memory option dramatically accelerates the performance of analytics queries by storing data in a highly optimized columnar in-memory format.  This is a truly exciting advance in database technology.As Larry Ellison mentioned in his recent webcast about Oracle Database In-Memory, queries run 100 times faster simply by throwing a switch.  But in order to get the most from the Oracle Database In-Memory option, the underlying server must also be memory-optimized. This week Oracle announced new 4-socket and 8-socket x86 servers, the Sun Server X4-4 and Sun Server X4-8, both of which have been designed specifically for Oracle Database In-Memory.  These new servers use the fastest Intel® Xeon® E7 v2 processors and each subsystem has been designed to be the best for Oracle Database, from the memory, I/O and flash technologies right down to the system firmware.Amongst these subsystems, one of the most important aspects we have optimized with the Sun Server X4-4 and Sun Server X4-8 are their memory subsystems.  The new In-Memory option makes it possible to select which parts of the database should be memory optimized.  You can choose to put a single column or table in memory or, if you can, put the whole database in memory.  The more, the better.  With 3 TB and 6 TB total memory capacity on the Sun Server X4-4 and Sun Server X4-8, respectively, you can memory-optimize more, if not your entire database.   Sun Server X4-8 CMOD with 24 DIMM slots per socket (up to 192 DIMM slots per server) But memory capacity is not the only important factor in selecting the best server platform for Oracle Database In-Memory.  As you put more of your database in memory, a critical performance metric known as memory bandwidth comes into play.  The total memory bandwidth for the server will dictate the rate in which data can be stored and retrieved from memory.  In order to achieve real-time analysis of your data using Oracle Database In-Memory, even under heavy load, the server must be able to handle extreme memory workloads.  With that in mind, the Sun Server X4-8 was designed with the maximum possible memory bandwidth, providing over a terabyte per second of total memory bandwidth.  Likewise, the Sun Server X4-4 also provides extreme memory bandwidth in an even more compact form factor with over half a terabyte per second, providing customers with scalability and choice depending on the size of the database.Beyond the memory subsystem, Oracle’s Sun Server X4-4 and Sun Server X4-8 systems provide other key technologies that enable Oracle Database to run at its best.  The Sun Server X4-4 allows for up 4.8 TB of internal, write-optimized PCIe flash while the Sun Server X4-8 allows for up to 6.4 TB of PCIe flash.  This enables dramatic acceleration of data inserts and updates to Oracle Database.  And with the new elastic computing capability of Oracle’s new x86 servers, server performance can be adapted to your specific Oracle Database workload to ensure that every last bit of processing power is utilized.Because Oracle designs and tests its x86 servers specifically for Oracle workloads, we provide the highest possible performance and reliability when running Oracle Database.  To learn more about Sun Server X4-4 and Sun Server X4-8, you can find more details including data sheets and white papers here. Josh Rosen is a Principal Product Manager for Oracle’s x86 servers, focusing on Oracle’s operating systems and software.  He previously spent more than a decade as a developer and architect of system management software. Josh has worked on system management for many of Oracle's hardware products ranging from the earliest blade systems to the latest Oracle x86 servers. 

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  • How to disable Mac OS X from using swap when there still is "Inactive" memory?

    - by Motin
    A common phenomena in my day to day usage (and several other's according to various posts throughout the internet) of OS X, the system seems to become slow whenever there is no more "Free" memory available. Supposedly, this is due to swapping, since heavy disk activity is apparent and that vm_stat reports many pageouts. (Correct me from wrong) However, the amount of "Inactive" ram is typically around 12.5%-25% of all available memory (^1.) when swapping starts/occurs/ends. According to http://support.apple.com/kb/ht1342 : Inactive memory This information in memory is not actively being used, but was recently used. For example, if you've been using Mail and then quit it, the RAM that Mail was using is marked as Inactive memory. This Inactive memory is available for use by another application, just like Free memory. However, if you open Mail before its Inactive memory is used by a different application, Mail will open quicker because its Inactive memory is converted to Active memory, instead of loading Mail from the slower hard disk. And according to http://developer.apple.com/library/mac/#documentation/Performance/Conceptual/ManagingMemory/Articles/AboutMemory.html : The inactive list contains pages that are currently resident in physical memory but have not been accessed recently. These pages contain valid data but may be released from memory at any time. So, basically: When a program has quit, it's memory becomes marked as Inactive and should be claimable at any time. Still, OS X will prefer to start swapping out memory to the Swap file instead of just claiming this memory, whenever the "Free" memory gets to low. Why? What is the advantage of this behavior over, say, instantly releasing Inactive memory and not even touch the swap file? Some sources (^2.) indicate that OS X would page out the "Inactive" memory to swap before releasing it, but that doesn't make sense now does it if the memory may be released from memory at any time? Swapping is expensive, releasing is cheap, right? Can this behavior be changed using some preference or known hack? (Preferably one that doesn't include disabling swap/dynamic_pager altogether and restarting...) I do appreciate the purge command, as well as the concept of Repairing disk permissions to force some Free memory, but those are ways to painfully force more Free memory than to actually fixing the swap/release decision logic... Btw a similar question was asked here: http://forums.macnn.com/90/mac-os-x/434650/why-does-os-x-swap-when/ and here: http://hintsforums.macworld.com/showthread.php?t=87688 but even though the OPs re-asked the core question, none of the replies addresses an answer to it... ^1. UPDATE 17-mar-2012 Since I first posted this question, I have gone from 4gb to 8gb of installed ram, and the problem remains. The amount of "Inactive" ram was 0.5gb-1.0gb before and is now typically around 1.0-2.0GB when swapping starts/occurs/ends, ie it seems that around 12.5%-25% of the ram is preserved as Inactive by osx kernel logic. ^2. For instance http://apple.stackexchange.com/questions/4288/what-does-it-mean-if-i-have-lots-of-inactive-memory-at-the-end-of-a-work-day : Once all your memory is used (free memory is 0), the OS will write out inactive memory to the swapfile to make more room in active memory. UPDATE 17-mar-2012 Here is a round-up of the methods that have been suggested to help so far: The purge command "Used to approximate initial boot conditions with a cold disk buffer cache for performance analysis. It does not affect anonymous memory that has been allocated through malloc, vm_allocate, etc". This is useful to prevent osx to swap-out the disk cache (which is ridiculous that osx actually does so in the first place), but with the downside that the disk cache is released, meaning that if the disk cache was not about to be swapped out, one would simply end up with a cold disk buffer cache, probably affecting performance negatively. The FreeMemory app and/or Repairing disk permissions to force some Free memory Doesn't help releasing any memory, only moving some gigabytes of memory contents from ram to the hd. In the end, this causes lots of swap-ins when I attempt to use the applications that were open while freeing memory, as a lot of its vm is now on swap. Speeding up swap-allocation using dynamicpagerwrapper Seems a good thing to do in order to speed up swap-usage, but does not address the problem of osx swapping in the first place while there is still inactive memory. Disabling swap by disabling dynamicpager and restarting This will force osx not to use swap to the price of the system hanging when all memory is used. Not a viable alternative... Disabling swap using a hacked dynamicpager Similar to disabling dynamicpager above, some excerpts from the comments to the blog post indicate that this is not a viable solution: "The Inactive Memory is high as usual". "when your system is running out of memory, the whole os hangs...", "if you consume the whole amount of memory of the mac, the machine will likely hang" To sum up, I am still unaware of a way of disabling Mac OS X from using swap when there still is "Inactive" memory. If it isn't possible, maybe at least there is an explanation somewhere of why osx prefers to swap out memory that may be released from memory at any time?

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  • Video memory buswidth vs video memory Bandwidth

    - by Mixxiphoid
    My current video card (9600GT) is dying and I'm searching for a new video card. Between acquiring my current one and now, I got a lot more knowledge about hardware and I want to use that to pick my new card. So I decided to not just buy some popular card blindly, but to search for a card able to handle my hardware requirements. I searched the specs at the NVidia site for the GT640 and was confused by the memory section and some questions raised. My current card's memory bus width is 256bit and has 1GB of memory. I checked Google about the importance of bus width. And all the links basically said the same 'The higher the number the more potential simultaneously traffic can be transferred'. This was already clear to me, yet there are currently a lot of new cards which are considered better than my current one with a lower bus width. To go in more detail about my question I copied the memory info from the NVidia site: GT 640 GT640 GDDR5 Memory Specs: Memory Clock 1.8 Gbps 5.0 Gbps Standard Memory Config 2048 MB 1024 MB Memory Interface DDR3 GDDR5 Memory Interface Width 128-bit 64-bit Memory Bandwidth (GB/sec) 28.5 40.0 What puzzled me is that the Memory Bandwidth seems to me the most important part, yet the lower bus width has the higher 'performance'. Is this due to the fact the memory interface is GDDR5 and is therefore able to have a higher memory clock speed (5Gbps)? If I am to buy a new video card, should I check the bus width? Memory clock? Bandwith? Amount of memory? My current card ahs 1GB memory, so I was searching for a 2GB memory card, but now I'm not so sure any more whether that is really 'better'. My main question: To me it seems that memory performance is made up by the combination of bus width and frequency. Is this true? If yes, why are there so many sites telling me I need to get a card with a high bus width? If no, then what IS important when it goes about memory performance on a video card. NOTE: The memory bandwidth is (almost) never displayed on vendor sites. How can I determine which card is better without knowing the bandwith?

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  • Best video codec for filmed powerpoint presentation

    - by rslite
    I have some presentations that are filmed. The audio is the presenter and the video is all the Powerpoint slides (size 1024x768, video codec H264, audio codec AAC). I would like to reduce their final file size since a 1 hour presentation is about 800 MB. Most of it is the video part which as I said is mostly powerpoint slides that don't change much over a matter of several seconds. Which codec would be better suited to encode this images and reduce the size of the end file?

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  • Video Games from the Bad Guys’ Perspective [Video]

    - by Jason Fitzpatrick
    We’re so used to seeing video games from our perspective–the hero with the endless power ups and do-overs–but how does the video game world look from the perspective of the bad guys? Rather grim and confusing, as the video above highlights. [via Geekosystem] How to Banish Duplicate Photos with VisiPic How to Make Your Laptop Choose a Wired Connection Instead of Wireless HTG Explains: What Is Two-Factor Authentication and Should I Be Using It?

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  • How can I broadcast video live (preferably wirelessly)?

    - by Blixt
    Update I've gotten plenty of feedback on the software solutions and the unanimous solution for having a handheld device to record video seems to be to use a mobile phone (I was hoping there'd be some webcam-like device with wifi support...) I'd appreciate more hardware suggestions now. That is, what mobile phones have good video recording quality (and battery time)? I'm looking for a solution to broadcast video live on the internet from a location (an apartment), with a device that can be carried around. What options are there? I'm looking for complete solutions (i.e., what hardware to use, what software to use, how it should all be set up.) Currently, I have my mobile phone (Nokia N95 8GB) with Qik installed connected to wifi, but unfortunately the videos get bad quality (especially since it's indoors with poor lighting) plus the battery gets used up quickly.

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