CUDA GPUs Boost Mars Research

ArrayFire Case Studies, CUDA Leave a Comment

With the recent news release from NASA about the Mars Curiosity rover, and as a continuation of our previous post “Powering Mars Research”, Brendan Babb is here again to provide us with an exciting look into Jacket’s role in Mars research from the Curiosity rover . Brendan Babb and colleague Frank Moore, at the University of Alaska in Anchorage, work with NASA’s Jet Propulsion Lab to improve image quality and image compression of the Mars Rover images. Here is what Brendan had to tell us about the use of Jacket in his GPU computing challenges… Brendan Babb:  I was thrilled to watch the new Mars Rover Curiosity successful landing with my visiting nieces and nephews. The new rover will take pictures, …

Jacket v2.3 Now Available

John Melonakos Announcements, CUDA 1 Comment

We are pleased to announce the new release of Jacket v2.3.  This new version of Jacket brings even greater performance improvements through GPU computing for MATLAB® codes.  (Click here to download v2.3) With v2.3, new support has been added for CUDA 5.0.  This newer version of CUDA enables computation on the latest Kepler K20 GPUs of the NVIDIA Tesla product line. This morning we received an email from a Jacket user who said, “V2.3 + CUDA 5 = wow. Just upgraded and re-ran one of the routines that previously took just under 4 minutes – now less than 2 minutes!” This is a must-have release for all Jacket users.  The performance improvements are generally felt across the board.  Existing Jacket …

AccelerEyes Webinar Series

Scott Announcements, CUDA, Events, OpenCL Leave a Comment

AccelerEyes invites you to participate in series of webinars designed to help you learn more about Jacket for MATLAB® and LibJacket for C/C++/Fortran/Python, a comprehensive library of GPU-accelerated functions. Joint Webinar With NVIDIA: LibJacket CUDA Library On October 20th we co-hosted a joint webinar with NVIDIA.  During this well-attended event, our GPU computing experts provided a general product overview and usage of the LibJacket CUDA library.  Several impressive demos of LibJacket in action were provided as well.  LibJacket supports hundreds of GPU computing functions and programmers in numerous industries have been able to speedup applications.  Be sure to check out the Q&A session included in the recorded webinar posted on NVIDIA’s Developer Zone. Thanks again to NVIDIA for co-hosting this informative webinar! GPU Programming for …

Beam Propagation Methods – Jacket is 3.5X faster than the CPU and 2X faster than PCT

John Melonakos Benchmarks, Case Studies, CUDA 2 Comments

A couple weeks ago, a GPU-enabled code appeared on MATLAB Central entitled, “A CUDA accelerated Beam Propagation Method [BPM] Solver using the Parallel Computing Toolbox.”  In this post, we share a video which showcases how Jacket is much better than PCT at GPU computing, by analyzing performance on this Beam Propagation Method code. To reproduce these results, download the source code here:  CUDA_BPM_NOV_04_2010_AccelerEyes These benchmarks were run on an NVIDIA Tesla C2070 GPU versus a quad-core Intel CPU.  MATLAB + PCT R2010B were used for the PCT-GPU experiments.  MATLAB + Jacket 1.6 (prerelease) were used for the Jacket-GPU experiments. Take Home Message Due to Jacket’s extensive library of GPU functions and its optimized GPU runtime, it performs 3.5X faster than …

A Jacket built for Speed

ArrayFire Benchmarks, CUDA 1 Comment

Just a few months ago, Jacket 1.4 was released sporting an improved MTIMES routine that brought about radical improvements to Jacket’s matrix multiplication. The quest for performance never ends though. Now, in the release of Jacket 1.5, MTIMES is even faster than before for SGEMM routines. Checkout the MTIMES Benchmarks wiki for more information. I you are attending GTC, you may want to attend this session also!

Jacket with MATLAB for Optics and DSP

John Melonakos Case Studies Leave a Comment

Over the last month I have heard many Jacket customers talk about their use of the Jacket platform for MATLAB to solve optics problems.   NASA and the University of Rochester are two that come to mind immediately.  We found some work that has been done recently to show an example of how Jacket can be used to solve an Optical Flow problem using the Horn and Schunk method and thought it might be useful to share. In addition, last week Seth Benton, a blogger for shares his experience in working with Jacket.  After about a week of getting up to speed and running some examples his experience is worth sharing if you have not already seen it.