GTC is quickly approaching and we want to see you there! When: May 8-11 Where: San Jose, California ArrayFire Booth: 406 GTC is the world’s premier GPU developer conference. Connect with experts from NVIDIA and other leaders in high performance computing. At GTC you’ll discover what’s next in GPU breakthroughs and gain useful insights in hundreds of sessions and hands-on labs covering a diverse range of application domains. Attend an ArrayFire Talk We invite you to attend the following talk presented by one of our knowledgeable and experienced GPU developers. ARRAYFIRE GRAPH: DYNAMIC GRAPH LIBRARY FOR GPUS Presented by Kumar Aatish – Thursday May 11 at 9:00 am – Marriott Ballroom 3 (Session ID S7723) ArrayFire Graph is an out-of-core dynamic graph library that …
ArrayFire at SC16
SC16 is almost here! We’re getting excited to heading to Salt Lake City, Utah, to be a part of this excellent conference. It’s a great place for soaking up HPC knowledge, getting inspired, and connecting with the brightest minds in the industry. Here’s a quick run-down of where we’ll be. Visit our booth. We’re booth #717 in the exhibit hall during exhibit hours November 15 – 17. We’ll be showing off our latest demos and our engineers will be available for questions. Ask your questions, meet the team, or just bounce some ideas. Try our in-booth tutorials. Want to learn how to use ArrayFire to accelerate your code? Stop by and receive an in-booth tutorial from one of our ArrayFire experts. We’ll show …
Visit ArrayFire at GTC 2016
GTC is quickly approaching and we want to see you there! When: April 4-7 Where: San Jose, California ArrayFire Booth: 103 GTC is the world’s premier GPU developer conference. Connect with experts from NVIDIA and other leaders in high performance computing. At GTC you’ll discover what’s next in GPU breakthroughs and gain useful insights in hundreds of sessions and hands-on labs covering a diverse range of application domains. We invite you to attend the following talk presented by one of our knowledgeable and experienced GPU developers. Real-Time Visualization of CUDA® Data Using ArrayFire Forge Presented by Brian Kloppenborg – Wednesday April 6 at 3:30 pm (Room 211B) We will debut ArrayFire Forge, our new general-purpose data visualization library for GPUs. ArrayFire Forge is a …
ArrayFire at SC15
SC15 is almost here! We’re getting excited to head down to Austin, Texas, to be a part of this excellent conference. It’s a great place for soaking up HPC knowledge, getting inspired, and connecting with the brightest minds in the industry. Here’s a quick run-down of where we’ll be. Visit our booth. We’re booth #2229. We’ll be showing off our latest demos and our engineers will be available for questions. Ask your questions, meet the team, or just bounce some ideas. Try our in-booth tutorials. Want to learn how to use ArrayFire to accelerate your code? Stop by and receive an in-booth tutorial from one of our ArrayFire experts. We’ll show you how the open source ArrayFire software library makes programming GPUs and …
In Case you Missed it: ArrayFire Joint Webinar with AMD
ArrayFire recently gave two webinar presentations to OpenCL developers as part of a joint webinar series with AMD. Due to popular demand for the first webinar, we ended up presenting a second! In case you missed it, here’s a recording of the webinar complete with the presentation and an informative Q&A session: http://bit.ly/SkzIJs This webinar focused on enhancing productivity by using existing OpenCL libraries while achieving a high level of performance and maximizing system utilization. We demonstrated how our ArrayFire software library offers simple GPU programming with the benefit of awesome performance. In the webinar we showed how to use several image processing and computer vision building blocks in less than 3 lines of code. The immediate takeaway message of …
ARM Showcases ArrayFire OpenCL Support for Mali GPU at Supercomputing ’13
ARM showcased ArrayFire support for the Mali GPU at the Supercomputing ’13 conference recently held in Denver. This exciting development caught the attention of many attendees as they viewed the ArrayFire demos running in the ARM and AccelerEyes exhibits. Energy budgets are always constrained, and form an expensive component of any HPC system. ARM Mali GPUs provide the best performance and throughput for a given energy envelope. Partnering with ARM, AccelerEyes further reduces the cost of HPC by minimizing development time and costs. AccelerEyes offers the most productive software solutions for accelerating code using GPUs, coprocessors, and OpenCL devices. AccelerEyes delivers ArrayFire to accelerate C, C++, and Fortran codes on CUDA and OpenCL devices. ArrayFire customers come from a wide range …
Giddy for GTC – We’re Taking it to the Next Level
GTC is quickly approaching and AccelerEyes is giddy with excitement! This year we are taking things to the next level as a Silver Sponsor at GTC 2013. Meaning, you’ll be seeing a lot more of us throughout the conference! Schedule a Meeting with Us Do you want to meet with us personally? Schedule a time to sit down with AccelerEyes engineers and account representatives using our online scheduler. Visit our Booth If you’re attending GTC, be sure to come visit us at booth #204 to see some great demos or to chat with anyone in our Software Shop for CUDA & OpenCL. Come see how ArrayFire complements other GPU development efforts, including raw CUDA/OpenCL development, OpenACC, and other GPU libraries. Register …
AccelerEyes Webinar Series
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 …
Median Filtering: CUDA tips and tricks
Last week we posted a video recording from NVIDIA’s GTC09 conference. In the video, I walked through median filtering, presenting the vanilla implementation and then walking through progressive CUDA optimizations. A comment on that post suggested trying some other compiler flags, and it sparked a new series of experiments. In the original video, we started with a vanilla CPU implementation of 3×3 median filtering. We then ported this to the GPU to realize some immediate gains, but then we started a string of optimizations to see how far we could drive up performance: switching to textured memory, switching to shared memory, switching the internal sorting of pixels, etc. The conclusion: pay attention to the resource usage reported by nvcc (registers, …