Day 4 at GTC is always a little less hyped than the first 3 days, but it is when some of the best sessions are found. Here are 7 of the highlights we’ve collected from our team on the last day of GTC 2013: Paulius Micikevicius of NVIDIA gave a great talk entitled, “Performance Optimization: Programming Guidelines and GPU Architecture Details Behind Them.” It was so great, we have 2 highlights from this talk. The first Paulius highlight is the information about how instruction level parallelism is essential to fully take advantage of Kepler GPUs. Paulius gave a clear presentation on these difficult concepts. The second Paulius highlight is the thorough treatment of memory hierarchy for Kepler. It is very detailed and …
7 Highlights of GTC 2013 – Day 3 of 4
Day 3 at GTC was awesome. It was super hard to narrow down our list to just 7 highlights. For instance, the stress ball pyramid in our booth does not count. Neither does the massive ArrayFire poster in front of the keynote hall. Here are 7 of the highlights we’ve collected from our team on the third day of GTC 2013: Professor Erez Lieberman Aiden of Baylor and Rice Universities gave a great keynote on “Parallel Processing of the Genomes, by the Genomes and for the Genomes.” He discussed how folding of genes and interactions between multiple folded genes can impact genetic expressions. It’s not just about the composition of the gene, but also how the gene folds. It turns …
7 Highlights of GTC 2013 – Day 2 of 4
Day 2 at GTC was high energy. The after parties are still thumping. It was a hive of GPU activity. Here are 7 of the highlights we’ve collected from our team on the second day of GTC 2013: Jen-Hsun Huang of NVIDIA gave an awesome keynote. He covered 5 topics: Computer graphics – Awesome life-like renderings of human faces (here and here) GPU computing update – 1.6 million CUDA downloads so far, tons of interesting GPU-accelerated applications (including matchmaking website fish.com, a diamond cutting company, Shazam, Cortexica, and others), roadmap update (see the next highlight) Tegra roadmap update – (see the 3rd highlight) Remote graphics update – using GPUs to render things remotely and pipe them to the monitors of …
7 Highlights of GTC 2013 – Day 1 of 4
AccelerEyes is out in force at GTC. We ended up with 10 of our engineers and sales staff here onsite. I collected feedback from the team to learn what people enjoyed the most from today’s activities. Here are 7 of the highlights we’ve collected from our team on the first day of GTC 2013: Bonus Highlight: Dinner with Strangers – GTC attendees meet new people over dinner. Great fun and an excellent way to learn what’s really going on in GPU computing. Don’t discount Monday’s at GTC. It was awesome! We look forward to the keynote tomorrow, to exhibitions, and to 3 more days of GPU energy. What highlights did you enjoy the first day at GTC 2013? Related articles
Heterogeneous Computing Trends for Dummies
Ten days ago, I posted an article on CPU Processing Trends for Dummies. Today, I continue that series with an article describing the latest major trend in computing, namely Heterogeneous Computing. The Point The point of these articles is to paint the high-level picture for trends in computer processing. I hope this bigger picture will help summarize things for those that do not breathe computer processors and technical software on a daily basis. Over the last 20 years, big gains in computer processing have been defined by increases in CPU clock speeds, then by increases in the number of CPU cores. The next 10+ years will be defined by heterogeneous computing. Heterogeneous Computing So let’s start with a definition: Heterogeneous …
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 …
CPU Processing Trends for Dummies
Over the years at AccelerEyes, it has been surprising to me how many people miss a big picture understanding of the trends affecting the computing industry. To help, I’m going to post a few articles with high-level explanations. I’m going to do so in a hand-wavy manner. I look forward in advance to the lively comments on my mistakes. But, in general, I think these posts will be a fairly accurate view of the important trends. Today, I’ll start by talking about CPU processing trends. Let’s start with something we all know: CPUs are central processing units and are the main processor in the computer. You probably had to label the CPU on a diagram at some point in grade school, …
ArrayFire Examples (Part 2 of 8) – Benchmarks
This is the second in a series of posts looking at our current ArrayFire examples. The code can be compiled and run from arrayfire/examples/ when you download and install the ArrayFire library. Today we will discuss the examples found in the benchmarks/ directory. In these examples, my machine has the following configuration: ArrayFire v1.9 (build XXXXXXX) by AccelerEyes (64-bit Linux) License: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX CUDA toolkit 5.0, driver 304.54 GPU0 Quadro 6000, 6144 MB, Compute 2.0 (single,double) Display Device: GPU0 Quadro 6000 Memory Usage: 5549 MB free (6144 MB total)… Blas This example shows a simple bench-marking process using ArrayFire’s matrix multiply routine. For more information on Blas, click here. The data measured in this example is the Giga-Flop (GFLOP Floating Point Operations Per Second). I got the following results using …
GTC 2013 Tutorial – CUDA Accelerated Image Processing Libraries
The 2013 GPU Technology Conference is just two weeks away. We’re super excited. We’re spending a lot of time preparing for our tutorial on CUDA Accelerated Image Processing Libraries. We think it will be well worth your while to attend. This is an 80-minute share all about CUDA image processing from James Malcolm, an AccelerEyes co-founder and lead engineer. You will walk away from the tutorial much better prepared to build fast computer vision and image processing codes. The session abstract is as follows: Image processing has consistently proven to benefit greatly from GPU acceleration. A number of libraries available from NVIDIA and AccelerEyes make image processing development efficient and lead to big speedups. Using these libraries can often significantly shorten …
ArrayFire Examples (Part 1 of 8) – Getting Started
This is the first in a series of posts looking at our current ArrayFire examples. The code can be compiled and run from arrayfire/examples/ when you download and install the ArrayFire library. Today we will discuss the examples found in the getting_started/ directory. Hello World Of course we start with the classic “Hello World” example, which walks you through the basics of using the ArrayFire library. Running this example will print out system and device information, as well as perform some basic matrix operations. This is a good place to get familiar with the basic data container for ArrayFire – the array. ArrayFire v1.9 (build XXXXXXX) by AccelerEyes (64-bit Linux) License: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX CUDA toolkit 5.0, driver 304.54 GPU0 Quadro 6000, 6144 …