Top 10 List at GTC 2012

John Melonakos Announcements, Events, Jacket Leave a Comment

It's going to be hard to sleep tonight.  So much GPU goodness awaits the coming 3 days of the GPU Technology Conference.  Here are my top 10 things to do at GTC 2012: Sessions to Attend #1:  S0287 - Jacket for Multidimensional Scaling in Genomics - This is a great opportunity to learn about accelerating MATLAB® on the GPU.  Come learn why thousands of scientists, engineers, and analysts are using Jacket to do more with less coding hassle. (Day: Tuesday, 05/15; Time: 5:30 pm - 5:55 pm; Location: Room K) #2:  S0415 - An Accelerated Weeks Method for Numerical Laplace Transform Inversion - Learn how the researchers have been able to utilize Jacket in MATLAB® to more efficiently and robustly implement the Weeks method. (Day: Wednesday, 05/16; Time: 9:30 ...

Jacket v2.1 Now Available

Scott Announcements, CUDA, Jacket 2 Comments

Optimization Library, Sparse Functionality, Graphics Library Improvements, CUDA 4.1 Enhancements, and much more... AccelerEyes announces the release of Jacket v2.1, adding GPU computing capabilities for use with MATLAB®. Jacket v2.1 delivers even more speed through a host of new improvements, maximizing GPU device performance and utilization.. Notable new features include an Optimization Library and additional functions to our Graphics Library. With Jacket v2.1, we have also extended support for sparse matrix subscripting and made improvements to host-to-device and device-to-host data transfer speeds for complex data. In addition, we have included various GFOR enhancements. Jacket v2.1 now includes NVIDIA CUDA 4.1 enhancements to provide improved functionality and performance (requires latest drivers). Jacket is the premier GPU software plugin for MATLAB®, better than alternative ...

12,288 CUDA Cores in One Computer

John Melonakos Announcements, CUDA 3 Comments

Kepler is here.  And it's fantastic! The news came out today that the first Kepler GPU, the GeForce GTX 680, has been launched.  A single GPU has 1,536 CUDA Cores.  This means that those high-end workstations with 8 PCIe slots will be able to pack 12,288 CUDA cores into a single computer.  That's some serious computational power. Current high-end Fermi cards have 512 cores, so this new Kepler architecture boasts 3X the number of computation cores. Normally we focus on the higher-end Tesla products because those more aptly fit the needs of our science, engineering, and financial computing readers.  But we are excited nonetheless by this GeForce GPU.  It is a major step forward in GPU technology.  And this GeForce card portends ...

ArrayFire Support for CUDA 4.1

John Melonakos Announcements, ArrayFire, C/C++, CUDA, Fortran Leave a Comment

The question above comes from María (@turbonegra).  She follows us @accelereyes.  Many of you are wondering when ArrayFire support for new CUDA version 4.1 will be released.  The answer: work is currently under way. CUDA 4.1 includes a new Fermi compiler, and many people in the GPU ecosystem have reported slowdowns from upgrading to the new CUDA version. So we've delayed releasing ArrayFire and Jacket support for CUDA 4.1 because we want to verify performance and reliability across all our unit tests, performance regressions, and customer code samples.  Our tests sweep across various driver versions and everything from mobile GeForce cards through server-grade Tesla and Fermi chips. We are still working through the testing and verification at the moment. While ...

Webinar - Jacket for Medical Image Segmentation

ArrayFire Announcements, Case Studies, Events, Jacket, Webinar Leave a Comment

In case you missed it, we recently held a webinar on how to accelerate common medical imaging applications using an easy, powerful programming library with Jacket for MATLAB®. This webinar was part of an ongoing series of webinars that will help you learn more about the many applications of Jacket and ArrayFire, while interacting with AccelerEyes GPU computing experts.  Gallagher Pryor, CTO of AccelerEyes, used the Bayesian Image Segmentation algorithm as a simple use-case to show how easy it is to convert CPU code to GPU code with Jacket (only 4 lines of CPU code needed to be changed!). For those of you who missed it, we uploaded the webinar on Youtube. We hope to see you at the next one!

AccelerEyes Webinar Series

Scott Announcements, CUDA, Events, OpenCL, Webinar 1 Comment

AccelerEyes invites you to participate in series of webinars designed to help you learn more about Jacket for MATLAB® and ArrayFire for C/C++/Fortran/Python, a comprehensive library of GPU-accelerated functions. GPU Programming for Medical Image Segmentation: January 18, 2012 at 3:00 p.m. EST There's a huge volume of data generated using acquisition modalities like computer tomography (CT), magnetic resonance imaging (MRI), positron emission tomography or nuclear medicine. A common need is to manipulate and transmit this data using compression techniques in as little time as possible. During this webinar we will show Jacket’s superior speed and handling volumes from subscripting to convolutions.  Come and learn how to accelerate common medical imaging applications using an easy, powerful programming library with Jacket for MATLAB®. OpenCL and CUDA Trade-Offs and Comparison: February 15, 2012 at ...

Jacket v2.0 Now Available

Scott Announcements, Jacket, OpenCL Leave a Comment

New Multi-GPU functionality , added support for OpenCL devices, and much more... AccelerEyes announces the release of Jacket version 2.0, adding GPU computing capabilities for use with MATLAB®.  Version 2.0 delivers even more speed through a host of new improvements, maximizing GPU device performance and utilization. Notable new features include a multi-GPU interface and support for OpenCL devices. With Jacket v2.0, your M-code is now portable across all major GPU devices, including AMD/ATI, Intel, and NVIDIA chips. Jacket is the premier GPU software plugin for MATLAB®, better than alternative solutions.  It is relied upon by thousands of organizations for rapid prototyping and problem solving across a range of government, manufacturing, energy, media, biomedical, financial, and scientific research applications. Multi-GPU Details: ...

Jacket on Lenovo Systems

Scott Announcements, Benchmarks, Jacket 1 Comment

Lenovo and AccelerEyes have a joint solution for optimizing M code on Lenovo workstations.  The combined HPC solution combines high Intel Xeon CPU performance for daily productivity with unprecedented NVIDIA graphics (GPU) performance for parallel computing with Jacket. Jacket’s comprehensive benchmark suite, when run on Lenovo ThinkStation systems, shows tremendous amounts of speedups for a wide variety of computationally-intensive applications. Jacket is the world’s fastest and broadest GPU software accelerating the M-language commonly found in MATLAB®.  Thousands of customers around the world have used Jacket to accelerate their MATLAB code. Lenovo ThinkStation systems are ideally suited for running real-world high-performance applications using Jacket. While the high-end CPUs are ideal for daily productivity tasks, Jacket and the Quadro GPUs perform HPC ...

AccelerEyes Releases ArrayFire GPU Software

Scott Announcements, ArrayFire, C/C++, CUDA, Fortran, OpenCL 1 Comment

A free, fast, and simple GPU library for CUDA and OpenCL devices. AccelerEyes announces the launch of ArrayFire, a freely-available GPU software library supporting CUDA and OpenCL devices. ArrayFire supports C, C++, Fortran, and Python languages on AMD, Intel, and NVIDIA hardware.  Learn more by visiting the ArrayFire product page. "ArrayFire is our best software yet and anyone considering GPU computing can benefit," says James Malcolm, VP Engineering at AccelerEyes.  "It is fast, simple, GPU-vendor neutral, full of functions, and free for most users." Thousands of paying customers currently enjoy AccelerEyes’ GPU software products.  With ArrayFire, everyone developing software for GPUs has an opportunity to enjoy these benefits without the upfront expense of a developer license. Reasons to use ArrayFire: ...

AccelerEyes Webinar Series

Scott Announcements, CUDA, Events, Webinar 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 ...