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.

GPU VSIPL Library

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, ClusterMonkey.net)

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: http://jacuzzi.sourceforge.net

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.

http://www.gremedy.com

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 http://simtk.org/home/openmm. (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)

Webinar: Jacket: Accelerating MATLAB using CUDA-Enabled GPUs

February 3rd, 2009

February 5, 2009, 11am PST / 2pm EST

Are you looking for ways to improve your productivity by accelerating MATLAB functions? Now you can with the unprecedented performance of GPU computing.

By attending this webinar, you will learn:

  • What is GPU computing
  • What is NVIDIA CUDA parallel computing architecture
  • What is the Jacket engine for MATLAB from AccelerEyes
  • How to get 10x to 50x speed-up for several MATLAB functions

Date: Thursday, February 5, 2009
Time: 11:00am PST / 2:00pm EST
Duration: 45 Minute Presentation, 15 Minute Q&A
Register Here
Presented By: Sumit Gupta, Ph.D., Sr Product Manager of Tesla GPU Computing at NVIDIA and John Melonakos, Ph.D., CEO at AccelerEyes LLC

Wipro to Offer CUDA Software Services to Global Customer Base

January 22nd, 2009

From a press release:

SANTA CLARA, CA—JANUARY 15, 2009—NVIDIA today announced it is now working closely with Wipro to provide CUDA™ professional services to their joint customers worldwide. CUDA, NVIDIA’s parallel computing architecture accessible through an industry standard C language programming environment, has already delivered major leaps in performance across many industries. Wipro’s Product Engineering Services group will accelerate the development efforts of companies with vast software portfolios seeking to exploit parallel computing with the GPU.

(Read More)

gDEBugger for Apple Mac OS X – Beta Program

January 22nd, 2009

Graphic Remedy is proud to announce the upcoming release of gDEBugger for Mac OS X. This new product brings all of gDEBugger’s Debugging and Profiling abilities to the Mac OpenGL developer’s world. Using gDEBugger Mac will help OS X OpenGL developers optimize their application performance: find graphics pipeline bottlenecks, improve application graphics memory consumption, locate and remove redundant OpenGL calls and graphics memory leaks, and much more. Visit the gDebuggerMac home page to join the Beta Program, see screenshots and get more details.

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, Linux and Mac OS X operating systems.

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