gpuarray.org
Partner Program | ArrayFire
http://gpuarray.org/partner-program
The Partner Program is designed to promote the development and sale of products and services to maximize the productivity of scientists, analysts, and engineers working on technical computing problems that can leverage GPU technology. As our Partner, you benefit from a tight working relationship with ArrayFire staff and our other partners, while your customers benefit from the integration of your products and solutions with ArrayFire. Distribution and Integration partners have access to development and e...
gpgpu-computing1.blogspot.com
Confessions of a Speed Junkie (Products): CULA (LAPACK)
http://gpgpu-computing1.blogspot.com/2009/08/cula-lapack.html
Confessions of a Speed Junkie (Products). Tuesday, August 18, 2009. CULA is a LAPACK library from EM Photonics. It comes in three flavors: basic, premium, and commercial. For more information http:/ www.culatools.com/. Posted by Dr Zaius. Tuesday, August 18, 2009. 3) Advanced Derivative Solutions. 1) The Portland Group. 2) Tesla S1070 1U.
matlabician.wordpress.com
Software | MATLABician
https://matlabician.wordpress.com/software
A Blend of MATLAB, Mathematics, and sundry other things. Since the user is shielded from any coding errors in one of the main computational kernels, reliability of the solution is enhanced. PseudoPack will speed up code development, increase productivity and enhance re-usability. The source codes of the library are written in Fortran 90. 8220;The chebfun project is a collection of algorithms, and a software system in object-oriented MATLAB, which extends familiar powerful methods of numerical computation...
nanoimaging.uni-jena.de
CudaMat - using the computing powers of graphics cards within Malab
http://www.nanoimaging.uni-jena.de/CudaMat/index.html
CudaMat (current version: 2.0.00 beta, 01. August 2016). Rainer Heintzmann, Friedrich Schiller University of Jena & IPHT, Jena, Germany. Heintzmann at gmail dot com). CudaMat enables fast computing on graphics cards that supports the CUDA programming language. The Matlab object 'a. Gets transformed into a CudaMat object 'a. This can be checked using the matlab command whos. Under which conditions will CudaMat be fast? It may be possible to adjust the performance a little bit by changing the two #define.
arsc.edu
software | ARSC
http://www.arsc.edu/arsc/support/software
ARSC Lab and Classroom. ARSC Academic Systems Software Index. If you would like to request a new software package or version be considered for installation in the centralized software stack on an ARSC system, please complete the Software Request. Pacman and Linux Workstations. ACML (AMD Core Math Library). Optimized math library for AMD processors; Contains BLAS, LAPACK and FFT routines. ANTLR is a widely-used open-source parser and translator generator tool. CUDA is NVIDIA's parallel computing architect...
emphotonics.com
GPU Consulting | EM Photonics: GPU Computing Experts
http://www.emphotonics.com/services/gpu-consulting
8211; C AMP. Matching your domain mastery to our GPU expertise. EM Photonics, a leader in the field of GPU computing, is proud to offer GPU consulting services that match your domain mastery with our GPU expertise to meet the challenges of next generation systems. We are pioneers in the field of GPU computing. Who have built fundamental technologies for the GPU. And can work in any domain, including yours. And OpenCL, and work in your chosen platform or will help select one. Navigating the complexities o...
emphotonics.com
C++ AMP Consulting | EM Photonics: GPU Computing Experts
http://www.emphotonics.com/services/gpu-consulting/c-amp
8211; C AMP. Matching your domain mastery to our GPU expertise. By using modern C programming techniques such as lambda expressions and template methods, developers can quickly and cleanly develop applications without having to deal with the low level details of GPU programming such as explicit memory management and kernel configuration. This allows for rapid development in which GPU acceleration can be achieved with minimal development time.
emphotonics.com
Partners | EM Photonics: GPU Computing Experts
http://www.emphotonics.com/company/partners
8211; C AMP. At EM Photonics, partnerships are all about win-win, long-lasting relationships that allow us to bring more value to our clients. Vision4ce produces rugged hardware for high performance computing and image processing. Our GRIP range of waterproof computers are based on a combination of high-spec Intel processors and top-of-the-range NVidia graphics hardware housed in a rugged chassis. North America and Europe:.
