VizWorld.com

If you’re a big user of MathWorks products like Matlab and Simulink, you should head on over to their site where you can register as a beta tester for their new GPU acceleration (only for NVidia GPU’s in the first release).  An invite-only beta, it can’t hurt to get your name in the hat and hope you get lucky!

Beta Test GPUs with MathWorks Products – Registration.

Science gpgpu, mathworks, matlab, nvidia, simulink, software

All of you Matlab folks out there might want to head on over to AccelerEyes and check out Jacket v1.1.  Big features in this release, including:

• Support for double-precision arithmetic. This enables a higher-level of accuracy for applications requiring fine precision.
• Expanded type support, including support for logical, int32, uint32, etc.
• New Developer SDK enables integration of custom CUDA kernels into the Jacket runtime. This allows custom code to inherit Jacket’s optimizations for memory transfers, kernel executions, and system performance within MATLAB.
• Expanded support for filtering functions, such as conv2, convn, filter2, etc, to include kernel sizes up to 10×10.
• New licensing scheme to support Concurrent Network licenses.
• Expanded support for reductions functions, such as sum, min, max, any, all, find.

Requires NVidia’s CUDA 2.2, and a 15-day trial is available to try before you buy.

20090622-AnnouncingJacket1.1.pdf (application/pdf Object).

Science accelereyes, cuda, gpgpu, jacket, matlab, nvidia

A new freeware tool called GPUmat allows you to run your Matlab code directly on a CUDA-enabled GPU.   The execution is transparent to the user, and enables up to a 40x speedup, and it’s completely free to download and use.

GPUmat.

Hardware, Science cuda, gpgpu, matlab

John West over at InsideHPC.com has the info on an upcoming Webinar hosted by NVidia about Tesla Computing with Matlab.

NVIDIA is hosting a Tesla GPU Computing Webinar on Thursday, February 5 at 2:00pm EST. Melissa sent me an email with the details, which I paste in below for your convenience

Attendees will learn about GPU computing, NVIDIA CUDA parallel computing architecture, the Jacket engine for MATLAB from AccelerEyes, and how to get 10x to 50x speed-up for several MATLAB functions.

Topics covered will include GPU computing in general, CUDA, and the Jacket engine for MATLAB from AccelerEyes.

via Webinar on using Jacket and GPUs to speed up Matlab | insideHPC.com.

Hardware matlab, tesla