Close to Metal: Difference between revisions
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*{{note|officialAMDAnnouncement}} [http://www.amd.com/us-en/Corporate/VirtualPressRoom/0,,51_104_543~114147,00.html AMD “Close to Metal” Technology Unleashes the Power of Stream Computing]: AMD Press Release, November 14, 2006. |
*{{note|officialAMDAnnouncement}} [http://www.amd.com/us-en/Corporate/VirtualPressRoom/0,,51_104_543~114147,00.html AMD “Close to Metal” Technology Unleashes the Power of Stream Computing]: AMD Press Release, November 14, 2006. |
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*{{note|anandTech}} [http://www.anandtech.com/video/showdoc.aspx?i=2849 AnandTech report]: ATI's Stream Processing & Folding@Home, September 30, 2006. |
*{{note|anandTech}} [http://www.anandtech.com/video/showdoc.aspx?i=2849 AnandTech report]: ATI's Stream Processing & Folding@Home, September 30, 2006. |
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*{{note|doublePrecisionOnGPU}} [http://numod.ins.uni-bonn.de/research/papers/public/GoStTu05double.pdf Universität Dortmund, Fachbereich Mathematik research]: Accelerating Double precision on GPUs (Proceedings of ASIM 2005), Dominik Goddeke, Robert Strzodka, and Stefan Turek. 18th Symposium on Simulation Technique, 2005.{{dead link|date=July 2012}} |
*{{note|doublePrecisionOnGPU}} [https://web.archive.org/web/20070611113310/http://numod.ins.uni-bonn.de/research/papers/public/GoStTu05double.pdf Universität Dortmund, Fachbereich Mathematik research]: Accelerating Double precision on GPUs (Proceedings of ASIM 2005), Dominik Goddeke, Robert Strzodka, and Stefan Turek. 18th Symposium on Simulation Technique, 2005.{{dead link|date=July 2012}} |
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*{{note|nvidiaCuda}} [http://www.tgdaily.com/content/view/30988/135/ TGDaily report]: Nvidia activates a supercomputer in your PC, February 16, 2007. |
*{{note|nvidiaCuda}} [http://www.tgdaily.com/content/view/30988/135/ TGDaily report]: Nvidia activates a supercomputer in your PC, February 16, 2007. |
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{{refend}} |
{{refend}} |
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== External links == |
== External links == |
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* [https://web.archive.org/web/20070217182216/http://ati.amd.com |
* [https://web.archive.org/web/20070217182216/http://ati.amd.com/ ATI official site] |
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* {{Official website|http://www.amd.com/|AMD official website}} |
* {{Official website|http://www.amd.com/|AMD official website}} |
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* {{cite web|url=http://ati.amd.com/developer/techreports/2006/I3D2006/Peercy-Performance-Oriented_Data_Parallel_Virtual_Machine_for_GPUs(SIG06_Sketch).pdf |title=ATI DPVM SIGGRAPH 2006 sketch |deadurl=yes |archiveurl=https://web.archive.org/web/20070927060428/http://ati.amd.com/developer/techreports/2006/I3D2006/Peercy-Performance-Oriented_Data_Parallel_Virtual_Machine_for_GPUs |
* {{cite web |url=http://ati.amd.com/developer/techreports/2006/I3D2006/Peercy-Performance-Oriented_Data_Parallel_Virtual_Machine_for_GPUs(SIG06_Sketch).pdf |title=ATI DPVM SIGGRAPH 2006 sketch |deadurl=yes |archiveurl=https://web.archive.org/web/20070927060428/http://ati.amd.com/developer/techreports/2006/I3D2006/Peercy-Performance-Oriented_Data_Parallel_Virtual_Machine_for_GPUs%28SIG06_Sketch%29.pdf |archivedate=2007-09-27 |df= }} {{small|(134 KiB)}} |
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* {{cite web|url=http://ati.amd.com/developer/siggraph06/dpvm_sketch_siggraph.pdf |title=ATI DVPM SIGGRAPH 2006 Presentation |deadurl=yes |archiveurl=https://web.archive.org/web/20070927060433/http://ati.amd.com/developer/siggraph06/dpvm_sketch_siggraph.pdf |archivedate=2007-09-27 |df= }} {{small|(671 KiB)}} |
* {{cite web|url=http://ati.amd.com/developer/siggraph06/dpvm_sketch_siggraph.pdf |title=ATI DVPM SIGGRAPH 2006 Presentation |deadurl=yes |archiveurl=https://web.archive.org/web/20070927060433/http://ati.amd.com/developer/siggraph06/dpvm_sketch_siggraph.pdf |archivedate=2007-09-27 |df= }} {{small|(671 KiB)}} |
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* {{cite web|url=http://ati.amd.com/companyinfo/researcher/documents/ATI_CTM_Guide.pdf |title=CTM Guide - CTI Technical Reference Manual |deadurl=yes |archiveurl=https://web.archive.org/web/20070222162035/http://ati.amd.com |
* {{cite web |url=http://ati.amd.com/companyinfo/researcher/documents/ATI_CTM_Guide.pdf |title=CTM Guide - CTI Technical Reference Manual |deadurl=yes |archiveurl=https://web.archive.org/web/20070222162035/http://ati.amd.com/companyinfo/researcher/documents/ATI_CTM_Guide.pdf |archivedate=2007-02-22 |df= }} {{small|(866 [[Kibibyte|KiB]])}} |
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* [http://sourceforge.net/projects/amdctm/ AMD Close-to-the-Metal (CTM) open source project site] |
* [http://sourceforge.net/projects/amdctm/ AMD Close-to-the-Metal (CTM) open source project site] |
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Revision as of 17:04, 9 August 2017
In computing, Close To Metal ("CTM" in short, originally called Close-to-the-Metal) is the name of a beta version of a low-level programming interface developed by ATI, now the AMD Graphics Product Group, aimed at enabling GPGPU computing. CTM was short-lived, and the first production version of AMD's GPGPU technology is now called AMD Stream SDK, or the rather the current AMD APP SDK for Windows and Linux 32-bit and 64-bit. APP stands for "Accelerated Parallel Processing".[1] and also targets Heterogeneous System Architecture.
Overview
Close To Metal, originally called THIN (Thin Hardware INterface) and Data Parallel Virtual Machine, gave developers direct access to the native instruction set and memory of the massively parallel computational elements in modern AMD video cards. CTM bypassed the graphics-centric DirectX and OpenGL APIs for the GPGPU programmer to expose previously unavailable low-level functionality, including direct control of the stream processors/ALUs and the memory controllers. R580 (ATI X1900) and later generations of AMD's GPU microarchitecture supported the CTM interface.
CTM's commercial successor, AMD Stream SDK, was released under AMD EULA in December 2007 after the software stack was rewritten.[2] Stream SDK provides high-level in addition to low-level tools for general-purpose access to AMD graphics hardware.
Using GPUs to perform computations holds a lot of potential for some applications because of the fundamental differences of GPU microarchitectures compared to CPUs. GPUs achieve much greater throughput (calculations per second) by executing many programs in parallel and restricting flow control (the ability of one program to execute instructions independently of another). Modern GPUs also have addressable on-die memory and extremely high performance multi-channel external memory.
AMD subsequently switched from CTM to OpenCL.
Open-source
Some components of CTM and the Stream SDK are open source, such as the Brook+ C-like language and compiler.
See also
References
- ^ "AMD APP SDK OpenCL™ Accelerated Parallel Processing".
- ^ AMD Stream SDK download page Archived December 23, 2007, at the Wayback Machine, retrieved June 12, 2008
- Notes
- ^ AMD “Close to Metal” Technology Unleashes the Power of Stream Computing: AMD Press Release, November 14, 2006.
- ^ AnandTech report: ATI's Stream Processing & Folding@Home, September 30, 2006.
- ^ Universität Dortmund, Fachbereich Mathematik research: Accelerating Double precision on GPUs (Proceedings of ASIM 2005), Dominik Goddeke, Robert Strzodka, and Stefan Turek. 18th Symposium on Simulation Technique, 2005.[dead link]
- ^ TGDaily report: Nvidia activates a supercomputer in your PC, February 16, 2007.
External links
- ATI official site
- AMD official website
- "ATI DPVM SIGGRAPH 2006 sketch" (PDF). Archived from the original (PDF) on 2007-09-27.
{{cite web}}: Unknown parameter|deadurl=ignored (|url-status=suggested) (help) (134 KiB) - "ATI DVPM SIGGRAPH 2006 Presentation" (PDF). Archived from the original (PDF) on 2007-09-27.
{{cite web}}: Unknown parameter|deadurl=ignored (|url-status=suggested) (help) (671 KiB) - "CTM Guide - CTI Technical Reference Manual" (PDF). Archived from the original (PDF) on 2007-02-22.
{{cite web}}: Unknown parameter|deadurl=ignored (|url-status=suggested) (help) (866 KiB) - AMD Close-to-the-Metal (CTM) open source project site