Search Results

Search found 3000 results on 120 pages for 'computing capacity'.

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

Page 5/120 | < Previous Page | 1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >

  • Is bigger capacity ram faster then smaller capacity ram for same clock and CL?

    - by didibus
    I know that bigger capacity hard-drives with the same RPM are faster then smaller capacity hard-drives. I was wondering if the same is true for ram. Given two ram clocked at 1600mhz and with identical CLs: 9-9-9-24. Is a 2x8 going to perform better then a 2x4 ? Note that I am not asking if having more ram will improve the performance of my PC, I'm asking if the bigger capacity ram performs better. Thank You.

    Read the article

  • Is bigger capacity ram faster then smaller capacity ram for same clock and CL? [migrated]

    - by didibus
    I know that bigger capacity hard-drives with the same RPM are faster then smaller capacity hard-drives. I was wondering if the same is true for ram. Given two ram clocked at 1600mhz and with identical CLs: 9-9-9-24. Is a 2x8 going to perform better then a 2x4 ? Note that I am not asking if having more ram will improve the performance of my PC, I'm asking if the bigger capacity ram performs better. Thank You.

    Read the article

  • Parallel Computing in .Net 4.0

    - by kaleidoscope
    Technorati Tags: Ram,Parallel Computing in .Net 4.0 Parallel computing is the simultaneous use of multiple compute resources to solve a computational problem: To be run using multiple CPUs A problem is broken into discrete parts that can be solved concurrently Each part is further broken down to a series of instructions Instructions from each part execute simultaneously on different CPUs Parallel Extensions in .NET 4.0 provides a set of libraries and tools to achieve the above mentioned objectives. This supports two paradigms of parallel computing Data Parallelism – This refers to dividing the data across multiple processors for parallel execution.e.g we are processing an array of 1000 elements we can distribute the data between two processors say 500 each. This is supported by the Parallel LINQ (PLINQ) in .NET 4.0 Task Parallelism – This breaks down the program into multiple tasks which can be parallelized and are executed on different processors. This is supported by Task Parallel Library (TPL) in .NET 4.0 A high level view is shown below:

    Read the article

  • Technical Computing

      Today, Microsoft announced our Technical Computing initiative.    Through the Technical Computing initiative, we will enable scientists, engineers and analysts to more easily model the world at much greater fidelity.  The Technical Computing initiative will address a wide range of users.  One of the most critical elements is to help developers create applications that can take advantage of parallelism on their desktop, in a cluster, and in public and private clouds. ...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

    Read the article

  • OBIEE Capacity Planning

    - by THE
    I can not even recall how many times I was asked by a customer what size the machine should be bought to run our Software. Unfortunately Tech Support is not even the right address to answer that question, as a purchase decision is closely tied to the answer. Hence, Tech Support has been limited to the answer: "The biggest machine you can afford" . Many Customers were unhappy with that and have tried to get us to be more precise and that causes a lot of explanation and lengthy discussion. In the end no one is wiser or happier.  Therefore I am happy to report that at least for OBIEE the decision has just been made a whole lot easier. Have a look at the note Oracle BI EE 11g Architectural Deployment: Capacity Planning (Doc ID 1323646.1) The document attached to that note gives you a good overview for teh sizing of the machines that Oracle recommends to run OBIEE (be it a small installation or a bigger distributed installation) If you have any more questions about this topic and what machines we recommend, then get in contact with  Oracle Consulting or speak to your sales representative.

    Read the article

  • Windows Azure Recipe: High Performance Computing

    - by Clint Edmonson
    One of the most attractive ways to use a cloud platform is for parallel processing. Commonly known as high-performance computing (HPC), this approach relies on executing code on many machines at the same time. On Windows Azure, this means running many role instances simultaneously, all working in parallel to solve some problem. Doing this requires some way to schedule applications, which means distributing their work across these instances. To allow this, Windows Azure provides the HPC Scheduler. This service can work with HPC applications built to use the industry-standard Message Passing Interface (MPI). Software that does finite element analysis, such as car crash simulations, is one example of this type of application, and there are many others. The HPC Scheduler can also be used with so-called embarrassingly parallel applications, such as Monte Carlo simulations. Whatever problem is addressed, the value this component provides is the same: It handles the complex problem of scheduling parallel computing work across many Windows Azure worker role instances. Drivers Elastic compute and storage resources Cost avoidance Solution Here’s a sketch of a solution using our Windows Azure HPC SDK: Ingredients Web Role – this hosts a HPC scheduler web portal to allow web based job submission and management. It also exposes an HTTP web service API to allow other tools (including Visual Studio) to post jobs as well. Worker Role – typically multiple worker roles are enlisted, including at least one head node that schedules jobs to be run among the remaining compute nodes. Database – stores state information about the job queue and resource configuration for the solution. Blobs, Tables, Queues, Caching (optional) – many parallel algorithms persist intermediate and/or permanent data as a result of their processing. These fast, highly reliable, parallelizable storage options are all available to all the jobs being processed. Training Here is a link to online Windows Azure training labs where you can learn more about the individual ingredients described above. (Note: The entire Windows Azure Training Kit can also be downloaded for offline use.) Windows Azure HPC Scheduler (3 labs)  The Windows Azure HPC Scheduler includes modules and features that enable you to launch and manage high-performance computing (HPC) applications and other parallel workloads within a Windows Azure service. The scheduler supports parallel computational tasks such as parametric sweeps, Message Passing Interface (MPI) processes, and service-oriented architecture (SOA) requests across your computing resources in Windows Azure. With the Windows Azure HPC Scheduler SDK, developers can create Windows Azure deployments that support scalable, compute-intensive, parallel applications. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

    Read the article

  • With MSDN and BizSpark, Cloud Computing is Closer than You Think

    Cloud computing offers significant advantages for businesses of all sizes, and it's easier to get started than you think. Microsoft makes Windows Azure compute time available for MSDN subscribers, as well as for software start-ups through the Microsoft BizSpark program. Learn why cloud computing is a good fit for you and how you can get started.

    Read the article

  • With MSDN and BizSpark, Cloud Computing is Closer than You Think

    Cloud computing offers significant advantages for businesses of all sizes, and it's easier to get started than you think. Microsoft makes Windows Azure compute time available for MSDN subscribers, as well as for software start-ups through the Microsoft BizSpark program. Learn why cloud computing is a good fit for you and how you can get started.

    Read the article

  • Understanding the levels of computing

    - by RParadox
    Sorry, for my confused question. I'm looking for some pointers. Up to now I have been working mostly with Java and Python on the application layer and I have only a vague understanding of operating systems and hardware. I want to understand much more about the lower levels of computing, but it gets really overwhelming somehow. At university I took a class about microprogramming, i.e. how processors get hard-wired to implement the ASM codes. Up to now I always thought I wouldn't get more done if learned more about the "low level". One question I have is: how is it even possible that hardware gets hidden almost completely from the developer? Is it accurate to say that the operating system is a software layer for the hardware? One small example: in programming I have never come across the need to understand what L2 or L3 Cache is. For the typical business application environment one almost never needs to understand assembler and the lower levels of computing, because nowadays there is a technology stack for almost anything. I guess the whole point of these lower levels is to provide an interface to higher levels. On the other hand I wonder how much influence the lower levels can have, for example this whole graphics computing thing. So, on the other hand, there is this theoretical computer science branch, which works on abstract computing models. However, I also rarely encountered situations, where I found it helpful thinking in the categories of complexity models, proof verification, etc. I sort of know, that there is a complexity class called NP, and that they are kind of impossible to solve for a big number of N. What I'm missing is a reference for a framework to think about these things. It seems to me, that there all kinds of different camps, who rarely interact. The last few weeks I have been reading about security issues. Here somehow, much of the different layers come together. Attacks and exploits almost always occur on the lower level, so in this case it is necessary to learn about the details of the OSI layers, the inner workings of an OS, etc.

    Read the article

  • How the SPARC T4 Processor Optimizes Throughput Capacity: A Case Study

    - by Ruud
    This white paper demonstrates the architected latency hiding features of Oracle’s UltraSPARC T2+ and SPARC T4 processors That is the first sentence from this technical white paper, but what does it exactly mean? Let's consider a very simple example, the computation of a = b + c. This boils down to the following (pseudo-assembler) instructions that need to be executed: load @b, r1 load @c, r2 add r1,r2,r3 store r3, @a The first two instructions load variables b and c from an address in memory (here symbolized by @b and @c respectively). These values go into registers r1 and r2. The third instruction adds the values in r1 and r2. The result goes into register r3. The fourth instruction stores the contents of r3 into the memory address symbolized by @a. If we're lucky, both b and c are in a nearby cache and the load instructions only take a few processor cycles to execute. That is the good case, but what if b or c, or both, have to come from very far away? Perhaps both of them are in the main memory and then it easily takes hundreds of cycles for the values to arrive in the registers. Meanwhile the processor is doing nothing and simply waits for the data to arrive. Actually, it does something. It burns cycles while waiting. That is a waste of time and energy. Why not use these cycles to execute instructions from another application or thread in case of a parallel program? That is exactly what latency hiding on the SPARC T-Series processors does. It is a hardware feature totally transparent to the user and application. As soon as there is a delay in the execution, the hardware uses these otherwise idle cycles to execute instructions from another process. As a result, the throughput capacity of the system improves because idle cycles are no longer wasted and therefore more jobs can be run per unit of time. This feature has been in the SPARC T-series from the beginning, so why this paper? The difference with previous publications on this topic is in the amount of detail given. How this all works under the hood is fully explained using two example programs. Starting from the assembly language instructions, it is demonstrated in what way these programs execute. To really see what is happening we go down to the processor pipeline level, where the gaps in the execution are, and show in what way these idle cycles are filled by other copies of the same program running simultaneously. Both the SPARC T4 as well as the older UltraSPARC T2+ processor are covered. You may wonder why the UltraSPARC T2+ is included. The focus of this work is on the SPARC T4 processor, but to explain the basic concept of latency hiding at this very low level, we start with the UltraSPARC T2+ processor because it is architecturally a much simpler design. From the single issue, in-order pipelines of this processor we then shift gears and cover how this all works on the much more advanced dual issue, out-of-order architecture of the T4. The analysis and performance experiments have been conducted on both processors. The results depend on the processor, but in all cases the theoretical estimates are confirmed by the experiments. If you're interested to read a lot more about this and find out how things really work under the hood, you can download a copy of the paper here. A paper like this could not have been produced without the help of several other people. I want to thank the co-author of this paper, Jared Smolens, for his very valuable contributions and our highly inspiring discussions. I'm also indebted to Thomas Nau (Ulm University, Germany), Shane Sigler and Mark Woodyard (both at Oracle) for their feedback on earlier versions of this paper. Karen Perkins (Perkins Technical Writing and Editing) and Rick Ramsey at Oracle were very helpful in providing editorial and publishing assistance.

    Read the article

  • Quantum Computing and Encryption Breaking

    - by Earlz
    Ok, I read a while back that Quantum Computers can break most types of hashing and encryption in use today in a very short amount of time(I believe it was mere minutes). How is it possible? I've tried reading articles about it but I get lost at the a quantum bit can be 1, 0, or something else. Can someone explain how this relates to cracking such algorithms in plain English without all the fancy maths?

    Read the article

  • What is Cloud Computing?

    - by joelvarty
    This is a question that we discuss quite often at Edentity.  It’s one of those things, kind of like “web services” where the terminology has been thrown around by a ton of people and means a lot of different things. Here’s my favorite diagram so far, which is a visual breakdown of the material presented here by NIST, visualized by the folks at Cloud Security Alliance.     What I like about this diagram is that is shows several different ways that we can differentiate our definitions of cloud computing, from the essential characteristics, or which “Broad Network Access" and “On-Demand Self-Service” (which often are used on their own to define cloud computing) are but a couple of things that help make something “cloud”. The most important section from my point of view is the middle one – the Service Models.  This represents the different ways that cloud computing can be exposed from the ground up.  It can be an Infrastructure, a Platform or a piece of Software that an end user interacts with. This is the future, folks. more late - joel

    Read the article

  • Windows Azure Recipe: Mobile Computing

    - by Clint Edmonson
    A while back, mashups were all the rage. The idea was to compose solutions that provided aggregation and integration across applications and services to make information more available, useful, and personal. Mashups ushered in the era of Web 2.0 in all it’s socially connected goodness. They taught us that to be successful, we needed to add web service APIs to our web applications. Web and client based mashups met with great success and have evolved even further with the introduction of the internet connected smartphone. Nothing is more available, useful, or personal than our smartphones. The current generation of cloud connected mobile computing mashups allow our mobilized workforces to receive, process, and react to information from disparate sources faster than ever before. Drivers Integration Reach Time to market Solution Here’s a sketch of a prototypical mobile computing solution using Windows Azure: Ingredients Web Role – with the phone running a dedicated client application, the web role is responsible for serving up backend web services that implement the solution’s core connected functionality. Database – used to store core operational and workflow data for the solution’s web services. Access Control – this service is used to authenticate and manage users identity, roles, and groups, possibly in conjunction with 3rd identity providers such as Windows LiveID, Google, Yahoo!, and Facebook. Worker Role – this role is used to handle the orchestration of long-running, complex, asynchronous operations. While much of the integration and interaction with other services can be handled directly by the mobile client application, it’s possible that the backend may need to integrate with 3rd party services as well. Offloading this work to a worker role better distributes computing resources and keeps the web roles focused on direct client interaction. Queues – these provide reliable, persistent messaging between applications and processes. They are an absolute necessity once asynchronous processing is involved. Queues facilitate the flow of distributed events and allow a solution to send push notifications back to mobile devices at appropriate times. Training & Resources These links point to online Windows Azure training labs and resources where you can learn more about the individual ingredients described above. (Note: The entire Windows Azure Training Kit can also be downloaded for offline use.) Windows Azure (16 labs) Windows Azure is an internet-scale cloud computing and services platform hosted in Microsoft data centers, which provides an operating system and a set of developer services which can be used individually or together. It gives developers the choice to build web applications; applications running on connected devices, PCs, or servers; or hybrid solutions offering the best of both worlds. New or enhanced applications can be built using existing skills with the Visual Studio development environment and the .NET Framework. With its standards-based and interoperable approach, the services platform supports multiple internet protocols, including HTTP, REST, SOAP, and plain XML SQL Azure (7 labs) Microsoft SQL Azure delivers on the Microsoft Data Platform vision of extending the SQL Server capabilities to the cloud as web-based services, enabling you to store structured, semi-structured, and unstructured data. Windows Azure Services (9 labs) As applications collaborate across organizational boundaries, ensuring secure transactions across disparate security domains is crucial but difficult to implement. Windows Azure Services provides hosted authentication and access control using powerful, secure, standards-based infrastructure. Windows Azure Toolkit for Windows Phone The Windows Azure Toolkit for Windows Phone is designed to make it easier for you to build mobile applications that leverage cloud services running in Windows Azure. The toolkit includes Visual Studio project templates for Windows Phone and Windows Azure, class libraries optimized for use on the phone, sample applications, and documentation Windows Azure Toolkit for iOS The Windows Azure Toolkit for iOS is a toolkit for developers to make it easy to access Windows Azure storage services from native iOS applications. The toolkit can be used for both iPhone and iPad applications, developed using Objective-C and XCode. Windows Azure Toolkit for Android The Windows Azure Toolkit for Android is a toolkit for developers to make it easy to work with Windows Azure from native Android applications. The toolkit can be used for native Android applications developed using Eclipse and the Android SDK. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

    Read the article

  • Standalone server setup for compute capacity

    - by mikera
    I'm developing an application for my company that will require a lot of compute capacity (running some very big mathematical calculations), and looking for some form of server setup to do this. For various reasons, we want to run this on-site in our office rather than hosting it externally. It's been a while since I last had to set up my own servers so I thought I would tap into the collective wisdom of serverfault! My broad requirements are: Budget $30-50k, with an aim to get as much compute capacity as possible for that budget 64-bit servers suitable to run Ubuntu Linux + Java Some relatively standalone rack that can be installed in secure office space Fast/low latency network connections between the servers, but don't really care about connectivity to the outside world Storage capacity shared between the servers - they don't necessarily need their own storage providing they can be booted from a common image Downtime can be tolerated (since the calculations are run in batch mode) The software itself is fault-tolerant, so there is no need for extra resiliency in the server setup (cheap replaceable commodity parts will be fine in general) Given these requirements what kind of setup would you recommend and why?

    Read the article

  • Roger Jennings’ Cloud Computing with the Windows Azure Platform

    - by guybarrette
    Writing and publishing a book about a technology early in its infancy is cruel.  Your subjected to many product changes and your book might be outdated the day it reaches the book stores.  I bought Roger Jennings “Cloud Computing with the Windows Azure Platform” book knowing that it was published in October 2009 and that many changes occurred to the Azure platform in 2009. Right off the bat and from a technology point of view, some chapters are now outdated but don’t reject this book because of that.  In the first few chapters, Jennings does a great job at explaining Cloud Computing and the Azure platform from a business point of view, something that few Azure articles and blogs fail to do right now.  You may want to wait for the second edition and read Jennings’ outstanding Azure focused blog in the meantime.   var addthis_pub="guybarrette";

    Read the article

  • Microsoft Technical Computing

    In the past I have described the team I belong to here at Microsoft (Parallel Computing Platform) in terms of contributing to Visual Studio and related products, e.g. .NET Framework. To be more precise, our team is part of the Technical Computing group, which is still part of the Developer Division. This was officially announced externally earlier this month in an exec email (from Bob Muglia, the president of STB, to which DevDiv belongs). Here is an extract: " As we build the Technical...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

    Read the article

  • Technical Computing Initiative, Jim Gray and a Virtual Framed Letter on my Wall

    Today Microsoft announced their Technical Computing Initiative, a program to help scientists and engineers take advantage of the latest breakthroughs in parallel computing, bandwidth increases, and technologies that will make doing scientific research akin to using spreadsheets (as opposed to writing really complex custom code).  This is actually the culmination of work that the late Jim Gray, formerly a technical fellow at Microsoft, was working on. I didn't really know Jim, and frankly only...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

    Read the article

  • Oracle’s Sun Server X4-8 with Built-in Elastic Computing

    - by kgee
    We are excited to announce the release of Oracle's new 8-socket server, Sun Server X4-8. It’s the most flexible 8-socket x86 server Oracle has ever designed, and also the most powerful. Not only does it use the fastest Intel® Xeon® E7 v2 processors, but also its memory, I/O and storage subsystems are all designed for maximum performance and throughput. Like its predecessor, the Sun Server X4-8 uses a “glueless” design that allows for maximum performance for Oracle Database, while also reducing power consumption and improving reliability. The specs are pretty impressive. Sun Server X4-8 supports 120 cores (or 240 threads), 6 TB memory, 9.6 TB HDD capacity or 3.2 TB SSD capacity, contains 16 PCIe Gen 3 I/O expansion slots, and allows for up to 6.4 TB Sun Flash Accelerator F80 PCIe Cards. The Sun Server X4-8 is also the most dense x86 server with its 5U chassis, allowing 60% higher rack-level core and DIMM slot density than the competition.  There has been a lot of innovation in Oracle’s x86 product line, but the latest and most significant is a capability called elastic computing. This new capability is built into each Sun Server X4-8.   Elastic computing starts with the Intel processor. While Intel provides a wide range of processors each with a fixed combination of core count, operational frequency, and power consumption, customers have been forced to make tradeoffs when they select a particular processor. They have had to make educated guesses on which particular processor (core count/frequency/cache size) will be best suited for the workload they intend to execute on the server.Oracle and Intel worked jointly to define a new processor, the Intel Xeon E7-8895 v2 for the Sun Server X4-8, that has unique characteristics and effectively combines the capabilities of three different Xeon processors into a single processor. Oracle system design engineers worked closely with Oracle’s operating system development teams to achieve the ability to vary the core count and operating frequency of the Xeon E7-8895 v2 processor with time without the need for a system level reboot.  Along with the new processor, enhancements have been made to the system BIOS, Oracle Solaris, and Oracle Linux, which allow the processors in the system to dynamically clock up to faster speeds as cores are disabled and to reach higher maximum turbo frequencies for the remaining active cores. One customer, a stock market trading company, will take advantage of the elastic computing capability of Sun Server X4-8 by repurposing servers between daytime stock trading activity and nighttime stock portfolio processing, daily, to achieve maximum performance of each workload.To learn more about Sun Server X4-8, you can find more details including the data sheet 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.

    Read the article

  • T-SQL Tuesday - IO capacity planning

    - by Michael Zilberstein
    This post is my contribution to Adam Machanic's T-SQL Tuesday #004 , hosted this time by Mike Walsh . Being applicative DBA, I usually don't take part in discussions which storage to buy or how to configure it. My interaction with IO is usually via PerfMon. When somebody calls me asking why everything is suddenly so slow on database server, "disk queue length" or "average seconds per transfer" counters provide an overwhelming answer in 60-70% of such cases. Sometimes it can be...(read more)

    Read the article

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

< Previous Page | 1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >