Jacket 1.8 and LibJacket 1.1 have been released by Accelereyes, enabling GPU support for MATLAB and easier CUDA development with C/C++/Fortran and Python.  New features include:

• Expanded support for the Signal Processing, Image Processing, and Statistics Libraries included with both Jacket and LibJacket
• Faster linear algebra for special systems (e.g. symmetric, positive definite, triangular, etc.)
• Enhanced visualizations
• New and updated examples: FDTD, Mandelbrot fractals, maximum-likelihood neural segmentation, MDS for genomics
• Built with CUDA 4.0 for peak performance

Visit http://www.accelereyes.com/ for details, downloads, whitepapers and tutorials.

TunaCode is pleased to announce the release of CUVI (CUDA Vision and Imaging Library) version 0.5 which comes with a new API and new features. This release makes it even simpler to add acceleration to existing Imaging applications, without any prior technical knowledge of GPUs. CUVI v0.5 is built from bottom up with performance and ease-of-use in mind.

CUVI version 0.5 is available for download at http://cuvilib.com and is available for Windows (Win32, x64) with planned support for Linux and Mac.

Microsoft has announced that the next version of Visual Studio will contain technology labeled C++ Accelerated Massive Parallelism (C++ AMP) to enable C++ developers to take advantage of the GPU for computation purposes. More information is available in the MSDN blog posts here and here.

In Silicon Valley? Interested in C++? Join in an evening with Microsoft & NVIDIA to discuss new C++ technology for parallel computing. Register here: http://vnextmsvc.eventbrite.com/

• 5:45 PM Welcome & Registration
• 6:00 PM Heterogeneous Parallelism in General, C++ in AMP in Particular, presented by Herb Sutter, Principal Architect for Windows C++, Microsoft
• 7:15 PM ALM tools for C++ in Visual Studio V.NEXT, presented by Rong Lu, Program Manager C++, Microsoft
• 8:00 PM The Power of Parallel, presented by the NVIDIA Team;
  • Parallel Nsight: Programming GPUs in Visual Studio, Stephen Jones, NVIDIA;
  • CUDA 4.0: Parallel Programming Made Easy, Justin Luitjens, NVIDIA;
  • Thrust: C++ Template Library for GPGPUs, Jared Hoberock, NVIDIA

Refreshments provided.

From a recent announcement:

Glare Technologies is proud to announce the release of Indigo Renderer 3.0 and Indigo RT. We use a hybrid GPU acceleration approach, which typically results in a 2-3x speedup when paired with a sufficiently powerful CPU. Realtime scene changes are possible, also in conjunction with network rendering to further accelerate rendering performance. A page outlining the other features and improvements of Indigo 3.0 and Indigo RT can be found at http://www.indigorenderer.com/indigo3 and http://www.indigorenderer.com/indigo_rt.

On June 28, 2011 StreamComputing will present a one-day course on OpenCL in Utrecht. The course covers general GPU computing principles and OpenCL specifics in a top-down fashion, including lectures and short lab sessions.  Topics include:

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The call for Submissions for GPU Technology Conference 2011 (GTC), October 11-14, is now open.  You can find more details and instructions for submitting here.

Expanding the already comprehensive breadth of topics covered at GTC 2010, the GTC Content Committee has added new topic areas for 2011. Below is a partial list; see the GTC website for full details:

• Application Design & Porting Techniques
• Bioinformatics
• Climate & Weather Modeling
• Cluster Management
• Computational Structural Mechanics
• Parallel Programming Languages
• Supercomputing

GTC is also looking for posters that describe novel or interesting research topics in parallel computing, visual computing, and applications of GPUs, with a particular interest in submissions describing GPU computing and CUDA applications that solve diverse problems in scientific and engineering domains. Read the rest of this entry »

AccelerEyes has released version 1.7 of Jacket for GPU computing with MATLAB®. Version 1.7 delivers even more speed to MATLAB with a new Sparse Linear Algebra Library, a new Signal Processing Library, a big boost to convolution functions, and more.

Jacket is the premier GPU software plugin for MATLAB. It enables rapid prototyping and problem solving across a range of government, manufacturing, energy, media, biomedical, financial, and scientific research applications. Jacket accelerates performance of common arithmetic and linear algebra functionality using the complete line of CUDA-capable GPUs from NVIDIA, including top of the line Tesla GPUs as well as Quadro visualization GPUs and GeForce gaming GPUs.

Some of the new features available with Jacket 1.7 include:

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Today NVIDIA announced the upcoming 4.0 release of CUDA.  While most of the major CUDA releases accompanied a new GPU architecture, 4.0 is a software-only release, but that doesn’t mean there aren’t a lot of new features.  With this release, NVIDIA is aiming to lower the barrier to entry to parallel programming on GPUs, with new features including easier multi-GPU programming, a unified virtual memory address space, the powerful Thrust C++ template library, and automatic performance analysis in the Visual Profiler tool.  Full details follow in the quoted press release below.

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From a press release:

Nexiwave.com, the speech indexing company, announced a partnership with UbiCast, a leading webcast equipment and hosting provider. Through the partnership, UbiCast will become the first company to offer deep audio search as a standard, cost-effective feature to customers.

Florent Thiery, CTO of UbiCast, said: “UbiCast customers produce large amounts of high-value content, but finding and retrieving archived information has been a challenge. Until now, rich spoken content has not been searchable on a broad scale because it was simply too expensive to process. The new Nexiwave.com technology, which is accelerated by GPUs, is making ubiquitous processing cost-justifiable for the first time ever.” Read the rest of this entry »