Molecular dynamics on NVIDIA GPUs with speed-ups up to two orders of magnitude

April 13th, 2009

ACEMD is a production-class bio-molecular dynamics (MD) simulation program designed specifically for GPUs which is able to achieve supercomputing scale performance of 40 nanoseconds /day for all-atom protein systems with over 23,000 atoms.  With GPU technology it has become possible to run a microsecond-long trajectory for an all-atom molecular system in explicit water on a single workstation computer equipped with just 3 GPUs. This performance would have required over 100 CPU cores.  Visit the project website for details.

(M. J. Harvey, G. Giupponi, G. De Fabritiis, ACEMD: Accelerating bio-molecular dynamics in the microsecond time-scale. Link to preprint.)

NVIDIA GPU Computing Tutorial Webinar Series

April 8th, 2009

This series of free web seminars (“webinars”) starting April 15th 2009 will cover the basics of data-parallel computing on GPUs using NVIDIA’s CUDA architecture. Tutorials will be presented by the NVIDIA Developer Technology team and will cover many topics including C for CUDA, programming with the OpenCL API , using DirectX Compute and performance optimization techniques.

Webinar topics, schedules and registration information will be updated regularly. Pre-registration is required. Please follow the links provided (after clicking “read the rest of this entry”), and registration details will be emailed back upon successful registration. Read the rest of this entry »

Equalizer BOF at Eurographics next week

March 31st, 2009

Equalizer Graphics will be holding an Equalizer Birds-Of-a-Feather meeting today during Eurographics’09

Place: Eurographics 2009, TU Munich
Date: Tuesday, March 31, 15:00-16:30
Room: MI 02.13.010

Co-located with EG is the Eurographics Symposium on Parallel Graphics and Visualization, so there is yet another good reason to attend.


  • 15:00-15:20 Equalizer: Past, Present and Future, Stefan Eilemann, Eyescale Software GmbH
  • 15:20-15:40 Virtual Architecture with Equalizer and OpenSceneGraph, Julia Sigmund, University of Siegen
  • 15:40-16:00 Performance Optimizations for Image Compositing, Renato Pajarola, University of Zurich
  • 16:00-16:30 Questions and Answers, Open Discussion

gDEBugger for Apple Mac OS X launched at GDC 2009

March 31st, 2009

Graphic Remedy launched the first official version of gDEBugger Mac at this year’s Game Developers Conference, held in San Francisco, 23-27 March. On Tuesday March 24, gDEBugger Mac was demonstrated in the Khronos Developer University full-day tutorial area. A fully functional trial version of gDEBugger Mac is now available for download.

gDEBugger is an OpenGL Debugger and Profiler. It traces application activity on top of the OpenGL API, lets programmers see what is happening within the graphics system implementation to find bugs and optimize OpenGL application performance.

gDEBugger Mac brings all of gDEBugger’s Debugging and Profiling abilities to the Mac OS X OpenGL developer’s world. gDEBugger now runs on Windows, Mac OS X and Linux operating systems.


March 31st, 2009

GPU VSIPL is an implementation of Vector Signal Image Processing Library that targets Graphics Processing Units (GPUs) supporting NVIDIA’s CUDA platform. By leveraging processors capable of 900 GFLOP/s or more, your application may achieve considerable speedup without any specialized development for GPUs. The GPU VSIPL range-Doppler map application achieved a 75x speedup on the GPU simply by linking it with GPU VSIPL.

GPU VSIPL is currently released as a static library, and all releases are verified with the VSIPL Core Lite Test Suite.

GPU VSIPL was presented to the High Performance Embedded Computing Workshop 2008. Read the GPU VSIPL extended abstract [PDF].For more information, visit the GPU VSIPL Website.

GPU Programming For The Rest Of Us

March 11th, 2009

This article by Jeff Layton at ClusterMonkey summarizes the history of GPU Computing in terms of high-level programming languages and abstractions, from the early days of GPGPU programming using graphics APIs, to Stream, CUDA and OpenCL. The second half of the article provides an introduction to the PGI 8.0 Technology Preview, which allows the use of pragmas to automatically parallelize and run compute-intensive kernels in standard C and Fortran code on accelerators like GPUs. (GPU Programming For the Rest Of Us, Jeff Layton,

Java bindings for CUDA

February 27th, 2009

Alexander Heusel of the University of Frankfurt has released open source Java bindings for CUDA.  The current project state is alpha, with support for the CUDA driver API, and support for the CUBLAS and CUFFT libraries is pending.  Contributions are welcome. For more information see the project website:

gDEBugger V4.5 Adds the ability to view Texture Mipmap levels and Texture Arrays

February 27th, 2009

The new gDEBugger V4.5 adds the ability to view texture MIP-map levels. Each texture MIP-map level’s parameters and data (as an image or raw data) can be displayed in the gDEBugger Texture and Buffers viewer. Browse the different MIP-map levels using the Texture MIP-map Level slidergDEBugger V4.5 also introduces support for 1D and 2D texture arrays. The new Textures and Buffers viewer Texture Layer slider enables viewing the contents of different texture layers. This version also introduces notable performance and stability improvements.

gDEBugger, an OpenGL and OpenGL ES debugger and profiler, traces application activity on top of the OpenGL API and lets programmers see what is happening within the graphics system implementation to find bugs and optimize OpenGL application performance. gDEBugger runs on Windows and Linux operating systems, and is currently in Beta phase on Mac OS X.

OpenMM Molecular Dynamics Simulation Software with GPU Acceleration Released by Stanford University

February 27th, 2009

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 (Full press release.)

CUDA.NET 2.1 Released

February 27th, 2009

CUDA.NET 2.1 has been released with support for the NVIDIA CUDA 2.1 API. This version supports DirectX 10 interoperability and the new JIT compilation API. The library is supported on Windows and Linux operating systems. (CUDA.NET)

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