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  • Is virtual machine slower than the underlying physical machine?

    - by Michal Illich
    This question is quite general, but most specifically I'm interested in knowing if virtual machine running Ubuntu Enterprise Cloud will be any slower than the same physical machine without any virtualization. How much (1%, 5%, 10%)? Did anyone measure performance difference of web server or db server (virtual VS physical)? If it depends on configuration, let's imagine two quad core processors, 12 GB of memory and a bunch of SSD disks, running 64-bit ubuntu enterprise server. On top of that, just 1 virtual machine allowed to use all resources available.

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  • EC2 Image to start

    - by HD.
    I'm starting to test EC2 for a couple of new projects. I need to choose an AMI (Amazon Machine Image) and Amazon offered me as first option Fedora Core 8, which is a very old version of one of my favorites distributions. There is a lot of choices, but it's not clear for me which one is the better option. I have my own reasons in order to choice a distro and a version when I need to install a new server but I don't know If I can apply the same for EC2. I know there is a beta for RHEL, how stable is this beta?, How can I choose between all the CentOS AMIs in the list? So this is my question: Do you recommend an AMI to start with EC2? Thanks

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  • How can a cloud be created from virtualization or how is it different from virtualization?

    - by Echelon
    I have heard that virtualization is the basis of Cloud,so If i have a machine with xen as virtualizing environment and many vms running on it,then can that be called as a cloud. Is it true that vms that scale based on load and memory is called cloud and vms that do not scale is called as just virtualization! How can a vm scale??Based on my understanding for xen once we fix cpu and ram,it cant go beyond that (am aware of Dynamic memory Management) so how it really scale?.Can any one please clarify this

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  • Data storage solutions for rapidly running out of space

    - by Grimlockz
    I have 2 web servers (1 live and other backup), the issue I have is our storage is rapidly running out. All the data on the server is used by our customers and new documents are uploaded to the server daily. So nothing can be deleted as it's always in use. We use a flat file structure with no database. I'm seeking solutions or ideas for the best place to move the our data to. The data has to be secure and needs to run on a linux environment. Not sure where to start - clusters, vmware, or they such solutions for huge file servers?

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  • Open source app to manage and run commands on cloud servers? [closed]

    - by Mark Theunissen
    I'm creating a SaaS platform, and I need a component / library that can create, delete and store the connection details for cloud servers. It also needs to support executing shell commands on these servers and returning the response to the caller. I want a central database of servers and their configuration, plus the ability to reach out and manage the servers via SSH execution of bash scripts. I don't want something that needs agents on every server like Chef. For example, this command is received by the hypothetical application: CREATE USER server = server12345 name = myuser It's translated into the following set of actions and executed by the app, which knows how to connect to server12345, and how to create a user on that server: $ ssh root@server12345 $ adduser myuser And returns the output from the shell: Added user myuser. I've done research on Google and can't quite quite find something that does this already. I've found: fabric This part handles the executing of the shell commands very elegantly, and can take multiple server definitions, but it's supposed to be a deployment tool so doesn't do everything that would be required above - for example, it doesn't have a daemon mode where it listens for commands - it expects to be executed on the shell. It also can't provide the central database functionality. libcloud This library can handle the server admin (CRUD) part, but doesn't have a command interface daemon either, and doesn't let you execute commands on the servers. I guess I need something that is a combination of libcloud, fabric and django for an API. Or something else that does that same thing regardless of language. Overmind Overmind is a GUI and wrapper around libcloud, but doesn't support the command execution part. What am I missing here?

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  • HP va-t-il s'attaquer à Microsoft ? Le constructeur va se lancer dans le Cloud Computing où il pourrait concurrencer Windows Azure

    HP va-t-il s'attaquer à Microsoft ? Le constructeur va se lancer dans le Cloud Computing où il pourrait concurrencer Windows Azure Le PDG change, la stratégie aussi. Au temps de Mark Hurd, l'alliance entre le constructeur HP et le fournisseur d'OS Microsoft était claire. Les deux sociétés complétaient leurs offres respectives avec les atouts de l'autre. Le hardware de HP et la plateforme Azure de Microsoft formaient des appliances complètes, clef-en-main, à destination des Cloud privés et des data-centers des entreprises. C'est encore théoriquement le cas aujourd'hui. Mais depu...

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  • Q&amp;A: Where does high performance computing fit with Windows Azure?

    - by Eric Nelson
    Answer I have been asked a couple of times this year about taking compute intensive operations to Windows Azure and/or High Performance Computing on Windows Azure. It is an interesting (if slightly niche) area. The good news is we have a great paper from David Chappell on HPC Server and Windows Azure integration. As a taster: A SOA application running entirely on Windows Azure runs its WCF services in Azure Worker nodes. Download now Related Links: Other Q&A posts on my team blog Don’t forget to connect with the UK team if you stumbled across this post by accident/bing/google

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  • Are VM-based languages becoming viable for Graphics since the move to GPU computing?

    - by skiwi
    Perhaps the title is not the most clear, so let me elaborate it more: I am talking about VM-based languages, by that I mean languages that run on the JVM (java) and for example C#. Also I am talking about 3D graphics, just to be clear. Lately the trend has been that most computing is being done on the GPU and not on the CPU, and since times the issue with programming games on a VM-based language is that garbage collecting may happen randomly. So let's take a look which is responsible for what: Showing the graphics: GPU Uploading graphics to the GPU: CPU? Needs to be done every frame? Calculating physics constraints: GPU Doing the real game logic (Determining when to move objects (independent of physics calculations), processing AI): CPU Is my list actually correct? And if it is, is for example Java becoming more viable? Or is uploading the graphics (vertices) still the most expensive operation? Would like to get more insight into this.

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  • Raspberry Pi cluster, neuron networks and brain simulation

    - by jokoon
    Since the RBPI (Raspberry Pi) has very low power consumption and very low production price, it means one could build a very big cluster with those. I'm not sure, but a cluster of 100000 RBPI would take little power and little room. Now I think it might not be as powerful as existing supercomputers in terms of FLOPS or others sorts of computing measurements, but could it allow better neuronal network simulation ? I'm not sure if saying "1 CPU = 1 neuron" is a reasonable statement, but it seems valid enough. So does it mean such a cluster would more efficient for neuronal network simulation, since it's far more parallel than other classical clusters ?

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  • what is a data serialization system?

    - by Yang
    according to Apache AVRO project, "Avro is a serialization system". By saying data serialization system, does it mean that avro is a product or api? also, I am not quit sure about what a data serialization system is? for now, my understanding is that it is a protocol that defines how data object is passed over the network. Can anyone help explain it in an intuitive way that it is easier for people with limited distributed computing background to understand? Thanks in advance!

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  • Using Parallel Extensions In Web Applications

    - by Greg
    I'd like to hear some opinions as to what role, if any, parallel computing approaches, including the potential use of the parallel extensions (June CTP for example), have a in web applications. What scenarios does this approach fit and/or not fit for? My understanding of how exactly IIS and web browsers thread tasks is fairly limited. I would appreciate some insight on that if someone out there has a good understanding. I'm more curious to know if the way that IIS and web browsers work limits the ROI of creating threaded and/or asynchronous tasks in web applications in general. Thanks in advance.

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  • What considerations should be made for a web app to be released on a cloud hosted system?

    - by Rhubarb
    I have a web app that is primarily a WordPress app, but it pulls content from a Django app, simply by calling a service that uses Django models. My understanding of cloud computing is a bit vague. If the site needs to scale up with short notice, does the cloud provider (Amazon, Rackspace, whomever) simply spin up new instances (copies) of my initially configured server? How is state managed between all of them? Are there any good primers on this subject? It's hard to find much out there without getting caught up in the marketing.

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  • c++ programming for clusters and HPC

    - by Abruzzo Forte e Gentile
    HI All I need to write a scientific application in C++ doing a lot of computations and using a lot of memory. I have part of the job but due to high requirements in terms of resources I was thinking to start moving to OpenMPI. Before doing that I have a simple curiosity: If I understood the principle of OpenMPI is the developer that has the task of splitting the jobs over different nodes calling SEND and RECEIVE based on node available at that time. Do you know if it does exist some library or OS or whatever that has this capability letting my code reamain as it is now? Basically something that connects all computers and let share as one their memory and CPU? I am a bit confused because of the high material available on the topic. Should I look at cloud computing? or Distributed Shared Memory? Can you help me or address me a bit? Thanks

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  • what changes when your input is giga/terabyte sized?

    - by Wang
    I just took my first baby step today into real scientific computing today when I was shown a data set where the smallest file is 48000 fields by 1600 rows (haplotypes for several people, for chromosome 22). And this is considered tiny. I write Python, so I've spent the last few hours reading about HDF5, and Numpy, and PyTable, but I still feel like I'm not really grokking what a terabyte-sized data set actually means for me as a programmer. For example, someone pointed out that with larger data sets, it becomes impossible to read the whole thing into memory, not because the machine has insufficient RAM, but because the architecture has insufficient address space! It blew my mind. What other assumptions have I been relying in the classroom that just don't work with input this big? What kinds of things do I need to start doing or thinking about differently? (This doesn't have to be Python specific.)

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  • How can I call an executable to run on a separate machine within a program on my own machine (win xp

    - by Mr. H.
    My objective is to write a program which will call another executable on a separate computer(all with win xp) with parameters determined at run-time, then repeat for several more computers, and then collect the results. In short, I'm working on a grid-computing project. The algorithm itself being used is already coded in FORTRAN, but we are looking for an efficient way to run it on many computers at once. I suppose one way to accomplish this would be to upload a script to each computer and then run said script on each computer, all automatically and dependent on my own parameters. But how can I write a program which will write to, upload, and run a script on a separate computer? I had considered GridGain, but the algorithm is already coded and in a different language, so that is ruled out. My current guess at accomplishing this task is using Expect (wiki/Expect), but I have no knowledge of the tool. Any advice appreciated.

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  • "cloud architecture" concepts in a system architecture diagrams

    - by markus
    If you design a distributed application for easy scale-out, or you just want to make use of any of the new “cloud computing” offerings by Amazon, Google or Microsoft, there are some typical concepts or components you usually end up using: distributed blob storage (aka S3) asynchronous, durable message queues (aka SQS) non-Relational-/non-transactional databases (like SimpleDB, Google BigTable, Azure SQL Services) distributed background worker pool load-balanced, edge-service processes handling user requests (often virtualized) distributed caches (like memcached) CDN (content delivery network like Akamai) Now when it comes to design and sketch an architecture that makes use of such patterns, are there any commonly used symbols I could use? Or even a download with some cool Visio stencils? :) It doesn’t have to be a formal system like UML but I think it would be great if there were symbols that everyone knows and understands, like we have commonly used shapes for databases or a documents, for example. I think it would be important to not mix it up with traditional concepts like a normal file system (local or network server/SAN), or a relational database. Simply speaking, I want to be able to draw some conclusions about an application’s scalability or data consistency issues by just looking at the system architecture overview diagram. Update: Thank you very much for your answers. I like the idea of putting a small "cloud symbol" on the traditional symbols. However I leave this thread open just in case someone will find specific symbols (maybe in a book or so) - or uploaded some pimped up Visio stencils ;)

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  • When should one use the following: Amazon EC2, Google App Engine, Microsoft Azure and Salesforce.com

    - by vicky21
    I am asking this in very general sense. Both from cloud provider and cloud consumer's perspective. Also the question is not for any specific kind of application (in fact the intention is to know which type of applications/domains can fit into which of the cloud slab -SaaS PaaS IaaS). My understanding so far is: IaaS: Raw Hardware (Processors, Networks, Storage). PaaS: OS, System Softwares, Development Framework, Virtual Machines. SaaS: Software Applications. It would be great if Stackoverflower's can share their understanding and experiences of cloud computing concept. EDIT: Ok, I will put it in more specific way - Amazon EC2: You don't have control over hardware layer. But you can take your choice of OS image, Dev Framework (.NET, J2EE, LAMP) and Application and put it on EC2 hardware. Can you deploy an applications built with Google App Engine or Azure on EC2? Google App Engine: You don't have control over hardware and OS and you get a specific Dev Framework to build your application. Can you take any existing Java or Python application and port it to GAE? Or vice versa, can applications that were built on GAE be taken out of GAE and ported to any Application Server like Websphere or Weblogic? Azure: You don't have control over hardware and OS and you get a specific Dev Framework to build your application. Can you take any existing .NET application and port it to Azure? Or vice versa, can applications that were built on Azure be taken out of Azure and ported to any Application Server like Biztalk?

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  • RMI no such object in table, Server communication error

    - by ben-casey
    My goal is to create a Distributed computing program that launches a server and client at the same time. I need it to be able to install on a couple of machines and have all the machines communicating with each other, i.e. Master node and 5 slave nodes all from one application. My problem is that I cannot properly use unicastRef, I'm thinking that it is a problem with launching everything on the same port, is there a better way I am overlooking? this is part of my code (the part that matters) try { RMIServer obj = new RMIServer(); obj.start(5225); } catch (Exception e) { e.printStackTrace(); } try { System.out.println("We are slave's "); Registry rr = LocateRegistry.getRegistry("127.0.0.1", Store.PORT, new RClient()); Call ss = (Call) rr.lookup("FILLER"); System.out.println(ss.getHello()); } catch (Exception e) { e.printStackTrace(); } } this is my main class (above) this is the server class (below) public RMIServer() { } public void start(int port) throws Exception { try { Registry registry = LocateRegistry.createRegistry(port, new RClient(), new RServer()); Call stuff = new Call(); registry.bind("FILLER", stuff); System.out.println("Server ready"); } catch (Exception e) { System.err.println("Server exception: " + e.toString()); e.printStackTrace(); } } I don't know what I am missing or what I am overlooking but the output looks like this. Listen on 5225 Listen on 8776 Server ready We are slave's Listen on 8776 java.rmi.NoSuchObjectException: no such object in table at sun.rmi.transport.StreamRemoteCall.exceptionReceivedFromServer(StreamRemoteCall.java:255) at sun.rmi.transport.StreamRemoteCall.executeCall(StreamRemoteCall.java:233) at sun.rmi.server.UnicastRef.invoke(UnicastRef.java:359) at sun.rmi.registry.RegistryImpl_Stub.lookup(Unknown Source) at Main.main(Main.java:62) line 62 is this ::: Call ss = (Call) rr.lookup("FILLER");

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  • Moving a ASP.NET application to the cloud

    - by user102533
    I am new to cloud computing, so please bear with me here. I have an existing ASP.NET application with SQL Server 2008 hosted on a Virtual Private Server. Here's what it briefly does: The front end accepts user's requests and adds them to a DB table A Windows Service running in the background picks up the request, processes it and sets a flag. The Windows Services also creates a file for the user to download. User downloads file I'd like to move this web application with the service to the cloud. The architecture I envision is that I'll have 1 Web server in which I will install the front end and the windows service. I'll also have a cloud files server for file storage. The windows service should somehow create a file and transfer it to the cloud file server (I assume this is possible?) My questions: Does the architecture look like I am going in the right direction? I know Amazon has been providing cloud services for a long time. If I want to do minimal changes to my application, should I go with Amazon, Rackspace, Azure or some other provider? I understand that I would not only pay for file storage and web server but also for the bandwidth of users downloading the file and the windows servic uploading the file to the cloud server. Can I assume these costs are negligible? Should I go with VPS + Cloud Files combination to begin with? Any other thoughts/suggestions?

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  • Drivers for NVIDIA 520M not working in Ubuntu 12.04

    - by Don
    I am aware that this is nominally a duplicate question, however I've read the other questions and haven't been able to resolve my problem after many hours and attempts, so please don't delete it. Additionally, it seems like many answers to the other questions are specifically dependent on certain situations. My situation being different from the others I found represented, here's my question. Until last night, I had Ubuntu 12.04 installed with Wubi, and it ran ok, though slowly and with occasional hangs. So I partitioned the drive and installed 12.04 in its own partition. Now when I start it, I am stuck using 2D. I believe this is an NVIDIA bug. My NVIDIA card is a GT 520M and my machine has Optimus. Additional Drivers only displays my wireless driver. Going to System Settings Details Graphics shows Driver:Unknown, Experience:Standard. I downloaded the driver from the NVIDIA website, and ran the installer with no errors, except that the "distribution-provided pre-install script failed". After rebooting, my screen was stuck at 640X480, which was fixed by editing /etc/X11/xorg.conf However, I still was stuck in 2D, and nothing else had changed either. A thread suggested something called Bumblebee. I tried that, and when I ran optirun firefoxI got a frozen blank screen. Following another suggestion, I checked the BIOS to try and disable Optimus. I found and ran myriad other commands to try and fix the problem and nothing changed. Now I have just done a clean re-install of Ubuntu. From there, I: Installed all the updates Downloaded the NVIDIA driver Installed it Got screen stuck at 640X480, fixed in xorg.conf. To recap the problem: I can't get the NVIDIA drivers working I am stuck using 2D I'm an idiot I think if the first one is solved, the solution to the second will naturally follow. If you need me to provide any other information, I'd be happy to. From what I've seen in other threads, I think this information may help: lsmod: dh@donsMachine:~$ lsmod Module Size Used by nvidia 12353161 0 snd_hda_codec_hdmi 32474 1 snd_hda_codec_realtek 223867 1 joydev 17693 0 parport_pc 32866 0 ppdev 17113 0 rfcomm 47604 0 bnep 18281 2 bluetooth 180104 10 rfcomm,bnep snd_hda_intel 33773 3 snd_hda_codec 127706 3 snd_hda_codec_hdmi,snd_hda_codec_realtek,snd_hda_intel snd_hwdep 13668 1 snd_hda_codec snd_pcm 97188 3 snd_hda_codec_hdmi,snd_hda_intel,snd_hda_codec uvcvideo 72627 0 videodev 98259 1 uvcvideo v4l2_compat_ioctl32 17128 1 videodev snd_seq_midi 13324 0 snd_rawmidi 30748 1 snd_seq_midi snd_seq_midi_event 14899 1 snd_seq_midi snd_seq 61896 2 snd_seq_midi,snd_seq_midi_event lib80211_crypt_tkip 17390 0 wl 2568210 0 lib80211 14381 2 lib80211_crypt_tkip,wl snd_timer 29990 2 snd_pcm,snd_seq snd_seq_device 14540 3 snd_seq_midi,snd_rawmidi,snd_seq snd 78855 16 snd_hda_codec_hdmi,snd_hda_codec_realtek,snd_hda_intel,snd_hda_codec,snd_hwdep,snd_pcm,snd_rawmidi,snd_seq,snd_timer,snd_seq_device psmouse 87692 0 serio_raw 13211 0 i915 468745 2 soundcore 15091 1 snd snd_page_alloc 18529 2 snd_hda_intel,snd_pcm drm_kms_helper 46978 1 i915 drm 242038 3 i915,drm_kms_helper mei 41616 0 i2c_algo_bit 13423 1 i915 mxm_wmi 12979 0 acer_wmi 28418 0 sparse_keymap 13890 1 acer_wmi video 19596 1 i915 wmi 19256 2 mxm_wmi,acer_wmi mac_hid 13253 0 lp 17799 0 parport 46562 3 parport_pc,ppdev,lp tg3 152032 0 sdhci_pci 18826 0 sdhci 33205 1 sdhci_pci lspci -nn | grep VGA dh@donsMachine:~$ lspci -nn | grep VGA 00:02.0 VGA compatible controller [0300]: Intel Corporation 2nd Generation Core Processor Family Integrated Graphics Controller [8086:0116] (rev 09) 01:00.0 VGA compatible controller [0300]: NVIDIA Corporation Device [10de:0df7] (rev a1) lshw dh@donsMachine:~$ sudo lshw [sudo] password for dh: donsmachine description: Notebook product: EasyNote TS44HR () vendor: Packard Bell version: V1.12 serial: LXBWZ02017134209D71601 width: 64 bits capabilities: smbios-2.7 dmi-2.7 vsyscall32 configuration: boot=normal chassis=notebook uuid=16FE576B-CA15-11E0-B096-B870F4E51243 *-core description: Motherboard product: SJV50_HR vendor: Packard Bell physical id: 0 version: Base Board Version serial: Base Board Serial Number slot: Base Board Chassis Location *-firmware description: BIOS vendor: Packard Bell physical id: 0 version: V1.12 date: 07/11/2011 size: 1MiB capacity: 2496KiB capabilities: pci upgrade shadowing cdboot bootselect edd int13floppynec int13floppytoshiba int13floppy360 int13floppy1200 int13floppy720 int13floppy2880 int9keyboard int10video acpi usb biosbootspecification *-memory description: System Memory physical id: 1b slot: System board or motherboard size: 4GiB *-bank:0 description: SODIMM DDR3 Synchronous 1333 MHz (0.8 ns) product: NT2GC64B88B0NS-CG vendor: Nanya Technology physical id: 0 serial: 598E126E slot: ChannelA-DIMM0 size: 2GiB width: 64 bits clock: 1333MHz (0.8ns) *-bank:1 description: DIMM [empty] physical id: 1 slot: ChannelA-DIMM1 *-bank:2 description: SODIMM DDR3 Synchronous 1333 MHz (0.8 ns) product: NT2GC64B88B0NS-CG vendor: Nanya Technology physical id: 2 serial: 159E126C slot: ChannelB-DIMM0 size: 2GiB width: 64 bits clock: 1333MHz (0.8ns) *-bank:3 description: DIMM [empty] physical id: 3 slot: ChannelB-DIMM1 *-cpu description: CPU product: Intel(R) Core(TM) i3-2330M CPU @ 2.20GHz vendor: Intel Corp. physical id: 2e bus info: cpu@0 version: Intel(R) Core(TM) i3-2330M CPU @ 2.20GHz slot: CPU1 size: 2GHz capacity: 4GHz width: 64 bits clock: 1333MHz capabilities: x86-64 fpu fpu_exception wp vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx rdtscp constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic popcnt tsc_deadline_timer xsave avx lahf_lm arat epb xsaveopt pln pts tpr_shadow vnmi flexpriority ept vpid cpufreq configuration: cores=2 enabledcores=2 threads=4 *-cache:0 description: L1 cache physical id: 30 slot: L1 Cache size: 32KiB capacity: 32KiB capabilities: synchronous internal write-through instruction *-cache:1 description: L2 cache physical id: 31 slot: L2 Cache size: 256KiB capacity: 256KiB capabilities: synchronous internal write-through unified *-cache:2 description: L3 cache physical id: 32 slot: L3 Cache size: 3MiB capacity: 3MiB capabilities: synchronous internal write-through unified *-cache description: L1 cache physical id: 2f slot: L1 Cache size: 32KiB capacity: 32KiB capabilities: synchronous internal write-through data *-pci description: Host bridge product: 2nd Generation Core Processor Family DRAM Controller vendor: Intel Corporation physical id: 100 bus info: pci@0000:00:00.0 version: 09 width: 32 bits clock: 33MHz configuration: driver=agpgart-intel resources: irq:0 *-pci:0 description: PCI bridge product: Xeon E3-1200/2nd Generation Core Processor Family PCI Express Root Port vendor: Intel Corporation physical id: 1 bus info: pci@0000:00:01.0 version: 09 width: 32 bits clock: 33MHz capabilities: pci pm msi pciexpress normal_decode bus_master cap_list configuration: driver=pcieport resources: irq:40 ioport:2000(size=4096) memory:d0000000-d10fffff ioport:a0000000(size=301989888) *-display description: VGA compatible controller product: NVIDIA Corporation vendor: NVIDIA Corporation physical id: 0 bus info: pci@0000:01:00.0 version: a1 width: 64 bits clock: 33MHz capabilities: pm msi pciexpress vga_controller bus_master cap_list rom configuration: driver=nvidia latency=0 resources: irq:16 memory:d0000000-d0ffffff memory:a0000000-afffffff memory:b0000000-b1ffffff ioport:2000(size=128) memory:d1000000-d107ffff *-display description: VGA compatible controller product: 2nd Generation Core Processor Family Integrated Graphics Controller vendor: Intel Corporation physical id: 2 bus info: pci@0000:00:02.0 version: 09 width: 64 bits clock: 33MHz capabilities: msi pm vga_controller bus_master cap_list rom configuration: driver=i915 latency=0 resources: irq:43 memory:d1400000-d17fffff memory:c0000000-cfffffff ioport:3000(size=64) *-communication description: Communication controller product: 6 Series/C200 Series Chipset Family MEI Controller #1 vendor: Intel Corporation physical id: 16 bus info: pci@0000:00:16.0 version: 04 width: 64 bits clock: 33MHz capabilities: pm msi bus_master cap_list configuration: driver=mei latency=0 resources: irq:42 memory:d1a04000-d1a0400f *-usb:0 description: USB controller product: 6 Series/C200 Series Chipset Family USB Enhanced Host Controller #2 vendor: Intel Corporation physical id: 1a bus info: pci@0000:00:1a.0 version: 04 width: 32 bits clock: 33MHz capabilities: pm debug ehci bus_master cap_list configuration: driver=ehci_hcd latency=0 resources: irq:16 memory:d1a0a000-d1a0a3ff *-multimedia description: Audio device product: 6 Series/C200 Series Chipset Family High Definition Audio Controller vendor: Intel Corporation physical id: 1b bus info: pci@0000:00:1b.0 version: 04 width: 64 bits clock: 33MHz capabilities: pm msi pciexpress bus_master cap_list configuration: driver=snd_hda_intel latency=0 resources: irq:44 memory:d1a00000-d1a03fff *-pci:1 description: PCI bridge product: 6 Series/C200 Series Chipset Family PCI Express Root Port 1 vendor: Intel Corporation physical id: 1c bus info: pci@0000:00:1c.0 version: b4 width: 32 bits clock: 33MHz capabilities: pci pciexpress msi pm normal_decode bus_master cap_list configuration: driver=pcieport resources: irq:17 memory:9fb00000-9fbfffff ioport:d1800000(size=1048576) *-network description: Ethernet interface product: NetLink BCM57785 Gigabit Ethernet PCIe vendor: Broadcom Corporation physical id: 0 bus info: pci@0000:02:00.0 logical name: eth0 version: 10 serial: b8:70:f4:e5:12:43 capacity: 1Gbit/s width: 64 bits clock: 33MHz capabilities: pm msi msix pciexpress bus_master cap_list rom ethernet physical tp 10bt 10bt-fd 100bt 100bt-fd 1000bt 1000bt-fd autonegotiation configuration: autonegotiation=on broadcast=yes driver=tg3 driverversion=3.121 firmware=sb latency=0 link=no multicast=yes port=twisted pair resources: irq:16 memory:d1830000-d183ffff memory:d1840000-d184ffff memory:d1850000-d18507ff *-generic:0 description: SD Host controller product: NetXtreme BCM57765 Memory Card Reader vendor: Broadcom Corporation physical id: 0.1 bus info: pci@0000:02:00.1 version: 10 width: 64 bits clock: 33MHz capabilities: pm msi pciexpress bus_master cap_list configuration: driver=sdhci-pci latency=0 resources: irq:17 memory:d1800000-d180ffff *-generic:1 UNCLAIMED description: System peripheral product: Broadcom Corporation vendor: Broadcom Corporation physical id: 0.2 bus info: pci@0000:02:00.2 version: 10 width: 64 bits clock: 33MHz capabilities: pm msi pciexpress bus_master cap_list configuration: latency=0 resources: memory:d1810000-d181ffff *-generic:2 UNCLAIMED description: System peripheral product: Broadcom Corporation vendor: Broadcom Corporation physical id: 0.3 bus info: pci@0000:02:00.3 version: 10 width: 64 bits clock: 33MHz capabilities: pm msi pciexpress bus_master cap_list configuration: latency=0 resources: memory:d1820000-d182ffff *-pci:2 description: PCI bridge product: 6 Series/C200 Series Chipset Family PCI Express Root Port 2 vendor: Intel Corporation physical id: 1c.1 bus info: pci@0000:00:1c.1 version: b4 width: 32 bits clock: 33MHz capabilities: pci pciexpress msi pm normal_decode bus_master cap_list configuration: driver=pcieport resources: irq:16 memory:d1900000-d19fffff *-network description: Wireless interface product: BCM43225 802.11b/g/n vendor: Broadcom Corporation physical id: 0 bus info: pci@0000:03:00.0 logical name: eth1 version: 01 serial: 68:a3:c4:44:81:96 width: 64 bits clock: 33MHz capabilities: pm msi pciexpress bus_master cap_list ethernet physical wireless configuration: broadcast=yes driver=wl0 driverversion=5.100.82.38 ip=192.168.0.12 latency=0 multicast=yes wireless=IEEE 802.11bgn resources: irq:17 memory:d1900000-d1903fff *-usb:1 description: USB controller product: 6 Series/C200 Series Chipset Family USB Enhanced Host Controller #1 vendor: Intel Corporation physical id: 1d bus info: pci@0000:00:1d.0 version: 04 width: 32 bits clock: 33MHz capabilities: pm debug ehci bus_master cap_list configuration: driver=ehci_hcd latency=0 resources: irq:23 memory:d1a09000-d1a093ff *-isa description: ISA bridge product: HM65 Express Chipset Family LPC Controller vendor: Intel Corporation physical id: 1f bus info: pci@0000:00:1f.0 version: 04 width: 32 bits clock: 33MHz capabilities: isa bus_master cap_list configuration: latency=0 *-storage description: SATA controller product: 6 Series/C200 Series Chipset Family 6 port SATA AHCI Controller vendor: Intel Corporation physical id: 1f.2 bus info: pci@0000:00:1f.2 logical name: scsi0 logical name: scsi1 version: 04 width: 32 bits clock: 66MHz capabilities: storage msi pm ahci_1.0 bus_master cap_list emulated configuration: driver=ahci latency=0 resources: irq:41 ioport:3098(size=8) ioport:30bc(size=4) ioport:3090(size=8) ioport:30b8(size=4) ioport:3060(size=32) memory:d1a08000-d1a087ff *-disk description: ATA Disk product: ST9500325AS vendor: Seagate physical id: 0 bus info: scsi@0:0.0.0 logical name: /dev/sda version: 0001 serial: S2W1AMSX size: 465GiB (500GB) capabilities: partitioned partitioned:dos configuration: ansiversion=5 signature=a45f21e9 *-volume:0 description: Windows NTFS volume physical id: 1 bus info: scsi@0:0.0.0,1 logical name: /dev/sda1 version: 3.1 serial: 46aa-2a25 size: 19GiB capacity: 20GiB capabilities: primary ntfs initialized configuration: clustersize=4096 created=2011-08-25 21:32:00 filesystem=ntfs label=PQSERVICE state=clean *-volume:1 description: Windows NTFS volume physical id: 2 bus info: scsi@0:0.0.0,2 logical name: /dev/sda2 version: 3.1 serial: 10aa-ad1a size: 98MiB capacity: 100MiB capabilities: primary bootable ntfs initialized configuration: clustersize=4096 created=2011-08-25 21:32:03 filesystem=ntfs label=SYSTEM RESERVED state=clean *-volume:2 description: Windows NTFS volume physical id: 3 bus info: scsi@0:0.0.0,3 logical name: /dev/sda3 version: 3.1 serial: 668c5afc-182e-ff4b-b084-3cc09f54972d size: 395GiB capacity: 395GiB capabilities: primary ntfs initialized configuration: clustersize=4096 created=2011-08-25 21:32:03 filesystem=ntfs label=Don's Machine state=clean *-volume:3 description: Extended partition physical id: 4 bus info: scsi@0:0.0.0,4 logical name: /dev/sda4 size: 49GiB capacity: 49GiB capabilities: primary extended partitioned partitioned:extended *-logicalvolume:0 description: Linux swap / Solaris partition physical id: 5 logical name: /dev/sda5 capacity: 3945MiB capabilities: nofs *-logicalvolume:1 description: Linux filesystem partition physical id: 6 logical name: /dev/sda6 logical name: / capacity: 46GiB configuration: mount.fstype=ext4 mount.options=rw,relatime,errors=remount-ro,user_xattr,barrier=1,data=ordered state=mounted *-cdrom description: DVD-RAM writer product: DVD-RW DVRTD11RS vendor: PIONEER physical id: 1 bus info: scsi@1:0.0.0 logical name: /dev/cdrom logical name: /dev/cdrw logical name: /dev/dvd logical name: /dev/dvdrw logical name: /dev/sr0 version: 1.01 capabilities: removable audio cd-r cd-rw dvd dvd-r dvd-ram configuration: ansiversion=5 status=nodisc *-serial UNCLAIMED description: SMBus product: 6 Series/C200 Series Chipset Family SMBus Controller vendor: Intel Corporation physical id: 1f.3 bus info: pci@0000:00:1f.3 version: 04 width: 64 bits clock: 33MHz configuration: latency=0 resources: memory:d1a06000-d1a060ff ioport:3040(size=32) *-power UNCLAIMED description: OEM_Define1 product: OEM_Define5 vendor: OEM_Define2 physical id: 1 version: OEM_Define6 serial: OEM_Define3 capacity: 75mWh *-battery description: Lithium Ion Battery product: CRB Battery 0 vendor: -Virtual Battery 0- physical id: 2 version: 10/12/2007 serial: Battery 0 slot: Fake

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  • Computing pixel's screen position in a vertex shader: right or wrong?

    - by cubrman
    I am building a deferred rendering engine and I have a question. The article I took the sample code from suggested computing screen position of the pixel as follows: VertexShaderFunction() { ... output.Position = mul(worldViewProj, input.Position); output.ScreenPosition = output.Position; } PixelShaderFunction() { input.ScreenPosition.xy /= input.ScreenPosition.w; float2 TexCoord = 0.5f * (float2(input.ScreenPosition.x,-input.ScreenPosition.y) + 1); ... } The question is what if I compute the position in the vertex shader (which should optimize the performance as VSF is launched significantly less number of times than PSF) would I get the per-vertex lighting insted. Here is how I want to do this: VertexShaderFunction() { ... output.Position = mul(worldViewProj, input.Position); output.ScreenPosition.xy = output.Position / output.Position.w; } PixelShaderFunction() { float2 TexCoord = 0.5f * (float2(input.ScreenPosition.x,-input.ScreenPosition.y) + 1); ... } What exactly happens with the data I pass from VS to PS? How exactly is it interpolated? Will it give me the right per-pixel result in this case? I tried launching the game both ways and saw no visual difference. Is my assumption right? Thanks. P.S. I am optimizing the point light shader, so I actually pass a sphere geometry into the VS.

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  • How to know the maximum capacity of memory/RAM of a server? [closed]

    - by Nam G. VU
    I have a Dell PowerEdge T410 and have installed 16Gb RAM for it. I don't know if I can extend it to 32Gb, 64Gb, ... RAM on this server. As the description, it seems I have no such choice. So my question is, how to know exactly the maximum capacity of memory/RAM of a server? I need this information so as to verify the number by myself. ps. My server is not exactly the same as the description on Dell website - I indeed modify the configuration to meet my budget. Currently my server is my purchased server configuration

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