AMD is offering an introductory tutorial to OpenCL™ that will be held alongside the 2010 Symposium on Application Accelerators in High Performance Computing (SAAHPC’10). The tutorial is a “programmer’s introduction” which covers the ideas behind OpenCL™ and their translation to source code. Read the rest of this entry »
Advanced Micro Devices (AMD) recently released ATI Stream Profiler version 1.3. ATI Stream Profiler is a Microsoft® Visual Studio® integrated runtime profiler that gathers performance data from the GPU as your OpenCL™ application runs. This information can then be used by developers to discover where the bottlenecks are in their OpenCL™ application and find ways to optimize their application’s performance.
Features of the tool include:
- Measure the execution time of an OpenCL kernel
- Query the hardware performance counters on ATI Radeon graphics cards
- Display the memory traffic from and to GPU
- Compare multiple runs (sessions) of the same or different programs
- Store the profile data for each run in a csv file
- Display the IL and ISA (hardware disassembly) code of the OpenCL kernel
RenderStream has recently announced a 16-GPU version of their VDAC (Visual and Data Analysis Cluster) product. It includes up to 16 GPUs (dual-GPU boards) in a single rack-mountable chassis, along with independent power supply, host CPUs and memory. The individual cards have an exclusive x16 full-bandwidth PCIe connection. The full article is available here: http://blog.renderstream.com/?p=600
Graphic Remedy is proud to announce the release of gDEBugger Version 5.5 for Windows, Linux, Mac OS X and iPhone.
This version introduces a powerful AMD GPU performance counters integration, displaying AMD graphic hardware and driver performance counters in gDEBugger’s Performance Graph and Performance Dashboard views, allowing developers to optimize their application over AMD (ATI) graphics hardware.
AMD Performance counters are available on Windows, when using ATI Radeon (TM) HD 2000 series or newer with Catalyst (TM) 9.12 or newer.
This version also includes a large number of bug fixes and stability improvements.
From the release notes:
ATI Stream SDK 2.0 is the first production SDK for both AMD GPUs and x86 CPUs. This release supports a wide range of ATI graphics processors, including the new ATI Radeon HD 5970, and provides support for OpenCL ICD (Installable Client Driver), atomic functions for 32-bit integers, a Microsoft Visual Studio 2008-integrated ATI Stream Profiler performance analysis tool, and other robust features. Preview support for upcoming features include OpenCL and Microsoft DirectX 10 interoperability, and double-precision floating point basic arithmetic in OpenCL C kernels.
AMD’s STREAM SDK v2.0 beta4 is the first release of the STREAM SDK with OpenCL support on CPUs and GPUs. The OpenCL implementation is certified OpenCL 1.0 conformant by the Khronos group. Supported platforms are Windows XP, Vista and Windows 7, and a number of Linux distributions, all in 32 and 64-bit. The implementation supports AMD and Intel multicore CPUs, as well as the two latest GPU generations from AMD.
The STREAM SDK as well as documentation and further information is available on AMD’s developer website.
AMD announced its latest ATI Radeon™ series of graphics cards on September 23rd. The new GPUs boast up to 2.72 GFLOP/s of single-precision floating point throughput, along with DirectX® 11 graphics (including DirectCompute) and OpenCL 1.0 support.
From the press release:
AMD (NYSE: AMD) today launched the most powerful processor ever created1, found in its next-generation graphics cards, the ATI Radeon™ HD 5800 series graphics cards, and the world’s first and only to fully support Microsoft DirectX® 112, the new gaming and compute standard shipping shortly with Microsoft Windows® 7operating system. Boasting up to 2.72 TeraFLOPS of compute power, the ATI Radeon™ HD 5800 series effectively doubles the value consumers can expect of their graphics purchases, delivering twice the performance-per-dollar of previous generations of graphics products.3 AMD will initially release two cards: the ATI Radeon HD 5870 and the ATI Radeon HD 5850, each with 1GB GDDR5 memory. With the ATI Radeon™ HD 5800 series of graphics cards, PC users can expand their computing experience with ATI Eyefinity multi-display technology, accelerate their computing experience with ATI Stream technology, and dominate the competition with superior gaming performance and full support of Microsoft DirectX® 11, making it a “must-have” consumer purchase just in time for Microsoft Windows® 7 operating system.
Slides from two full-day conference tutorials are now available:
- SPEEDUP 2009 Practical GPU Computing with NVIDIA CUDA: Lausanne, Switzerland, September 8, 2009 (Dominik Göddeke, Robert Strzodka and Christian Sigg)
- PPAM 2009 GPU and OpenCL Tutorials: Wroclaw, Poland, September 13, 2009 (Robert Strzodka, Dominik Behr and Dominik Göddeke)
Both tutorials present basics and advanced topics of scientific computing on GPUs, including ready-to-use GPU libraries, GPU architecture, case studies and many hands-on examples.
AMD is now offering a free OpenCL for CPU beta download as part of the ATI Stream SDK v2.0 Beta Program. The beta will help programmers to more easily develop parallel software programs and take further advantage of multi-core x86 CPUs to accelerate software and deliver a better computing experience. AMD has submitted conformance logs from its Microsoft Windows and Linux CPU beta releases to the Khronos Working Group for certification.
OpenMM is a freely downloadable, high performance, extensible library that allows molecular dynamics (MD) simulations to run on high performance computer architectures, such as graphics processing units (GPUs). Significant performance speedups of 100 times were achieved in some cases by running OpenMM on GPUs in desktop PCs (vs CPU). The new release includes a version of the widely used MD package GROMACS that integrates the OpenMM library, enabling acceleration on high-end NVIDIA and AMD/ATI GPUs. OpenMM is a collaborative project between Vijay Pande’s lab at Stanford University and Simbios, the National Center for Physics-based Simulation of Biological Structures at Stanford, which is supported by the National Institutes of Health. For more information on OpenMM, go to http://simtk.org/home/openmm. (Full press release.)