It’s that time again—we’re pleased to announce the release of our newest version of ArrayFire: ArrayFire v2.1. ArrayFire v2.1 is now bigger, faster, and stronger, thanks to some key function additions, API changes, feature improvements, and bug fixes. ArrayFire is a CUDA and OpenCL library designed for maximum speed without the hassle of writing time-consuming CUDA and OpenCL device code. With ArrayFire’s library functions, developers can maximize productivity and performance. Each of ArrayFire’s functions has been hand-tuned by CUDA and OpenCL experts. Major Updates Support for CUDA 6.0 Support for Mac OS X New language support (available on github) ArrayFire for Java ArrayFire for R! ArrayFire for Fortran* ArrayFire Extras on Github All language wrappers …
Company
CompanyArrayFire is the software shop for tensor computing. Since 2007, ArrayFire has offered the most productive solutions for accelerating code using GPUs helping 10,000s of developers and organizations with CUDA and OpenCL projects. Early on we were the inventors of GPU computing in MATLAB® with our popular Jacket product, ultimately selling that product to The MathWorks for inclusion in the Parallel Computing Toolbox. Today, ArrayFire delivers an open source library used around the world. The ArrayFire community and customers come from a wide range of industries, including defense and intelligence, life science, oil and gas, finance, manufacturing, media, and others. ArrayFire has had success accelerating numerous application types, including math and numerical algorithms, image processing, signal processing, statistics, optimization, and …
Legal
LegalWe do business as ArrayFire. Our official company name is AccelerEyes LLC. Terms of Use Acceptance of Terms ArrayFire makes available for your use on this Website (the “Site”) information, documents, software and products (collectively, the “Materials”) and various services operated by ArrayFire (collectively, the “Services”), subject to the terms and conditions set forth in this document (the “Terms of Use”). By accessing or using this Site, which includes your access to or use of any of the Services, you agree to the Terms of Use. ArrayFire reserves the right to change the Terms of Use from time to time at its sole discretion. Your use of the Site will be subject to the most current version of the Terms …
Partner Program
Partner ProgramThe 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 AI & GPU technology. As our partner, you benefit from a tight working relationship with ArrayFire staff and our other partners, while our mutual customers benefit from the integration of your products and solutions with ArrayFire. The ArrayFire Partner Program is built upon the belief that the purpose of a viable partnership includes a market opportunity, a joint product or service which matches that opportunity, and a strategy to market, sell, and support the joint offering. Therefore, ArrayFire includes programs and activities centered around technical and go-to-market …
ArrayFire v2.0 Official Release
We are thrilled to announce the official release ArrayFire v2.0, our biggest and best product ever! ArrayFire v2.0 adds full commercial support for OpenCL devices including all AMD APUs and AMD FireProTM graphics, CUDA GPUs from NVIDIA, and other OpenCL devices from Imagination, Freescale, ARM, Intel, and Apple. ArrayFire is a CUDA and OpenCL library designed for maximum speed without the hassle of writing time-consuming CUDA and OpenCL device code. With ArrayFire’s library functions, developers can maximize productivity and performance. Each of ArrayFire’s functions has been hand-tuned by CUDA and OpenCL experts. Announcing ArrayFire for OpenCL Support for all of ArrayFire’s function library (with a few exceptions) Same API as ArrayFire for CUDA enabling seamless interoperability Just-In-Time (JIT) compilation of …
Partners Magnify the SC13 Experience
Yesterday, we posted photos from our exhibit. Today was the last day of SC13, and we want to tip our hat to the wonderful partners that magnified our SC13 experience. Creative Consultants, Mellanox, and Allinea Creative Consultants ran an ArrayFire demo across several nodes using Mellanox interconnect. The demo was a multi-node, multi-GPU lattice boltzmann simulation. Allinea also showcased their debugging and profiling tools on the same ArrayFire based code. AMD ArrayFire OpenCL demos were showcased in the AMD exhibit. It was great to see momentum from AMD at SC13 carried over from the previous week’s APU13 conference. Microway In the photo below, you can see ArrayFire running on Microway’s WhisperStation. Microway had prime real estate at the conference and surely every …
Photos from SC13
SC13 was awesome this week! Tomorrow is the last day of the exhibition. For those of you that did not make it to the show, here are some pictures from our exhibit: The AccelerEyes Booth ——————————————————————————————————– ArrayFire OpenCL Demo on ARM Mali ——————————————————————————————————– ArrayFire CUDA Demo on NVIDIA K40 ——————————————————————————————————– ArrayFire OpenCL Demo on Intel Xeon Phi Coprocessor ——————————————————————————————————– ArrayFire OpenCL Demo on AMD FirePro GPU ——————————————————————————————————– It was a great show and wonderful to see so many ArrayFire users in person. If you could not attend and would like to learn more about our CUDA or OpenCL products or services, let us know! Related articles ArrayFire v2.0 Release Candidate Now Available for Download Two Kinds of Exhibits to Watch …
APU 2013 – Day 3 Recap
Big announcement here at #APU13! AMD CTO, Mark Papermaster, just announced 2 additions to the 2014 Mobile APU roadmap http://t.co/sWHMhb9AAe — AMD (@AMD) November 13, 2013 Today was the final day of AMD’s APU 2013 conference. The theme of today was mostly focused on gaming topics, so it was not as relevant to technical computing as yesterday. However, the mobile product announcement from AMD in the tweet above was interesting. OpenCL is just as important in mobile computing as it is in HPC computing. Both ends of the spectrum have a need for speed and can achieve it through great data parallelism. AMD is looking to make better inroads into mobile computing with these APU announcements. Overall, APU 2013 was a fantastic …
APU 2013 – Day 1 Recap
AMD’s APU 2013 kicked off today with keynotes and a welcome reception. The developer summit is themed as the epicenter of heterogeneous computing. AMD has a world class CPU and a world class GPU and is pushing the industry forward by combining both of those devices into the same chip, the APU. AMD’s APUs are programmable via OpenCL, the industry standard for heterogeneous development. AMD is also leading the way with standards for Heterogeneous System Architecture (HSA). APU13 will have many technical sessions, keynotes, and demos around OpenCL and HSA. We are at the APU conference demoing ArrayFire acceleration on two of AMD’s newest hardware offerings: A machine with the latest AMD Radeon R9 209X discrete GPU A machine with the …
ArrayFire v2.0 Release Candidate Now Available for Download
ArrayFire v2.0 is now available for download. The second iteration of our free, fast, and simple GPU library now supports both CUDA and OpenCL devices. Major Updates ArrayFire now works on OpenCL enabled devices New and improved documentation Optimized for new GPUs–NVIDIA Kepler (K20) and AMD Tahiti (7970) New in ArrayFire OpenCL Same APIs as ArrayFire CUDA version Supports both Linux and Windows Just In Time Compilation (JIT) of kernels Parallel for: gfor Accelerated algorithms in the following domains Image Processing Signal Processing Data Analysis and Statistics Visualization And more New in ArrayFire CUDA New Signal and Image processing functions Faster transpose and matrix multiplication Better debugging support for GDB and Visual Studio Bug fixes to make overall experience better For a more complete list of the …