Last month NVIDIA unveiled their CUDA certification program. This is exciting news because many of our CULA users and training customers have been asking for an official recognition to signify their CUDA experience. Having been GPU developers for over 5 years, we're excited to see the field maturing to this level.
Alongside the announcement of the certification program was the unveiling of the official syllabus for the CUDA certification exam. We're happy to say that our course covers all of the expected topics as well as many more! Not only do we cover the fundamentals as outlined in this syllabus, but we've created several modules that allow us to tailor our course to your specific needs. Are you doing high-performance image processing? We've got you covered. Scientific computing with a basis in linear algebra? We've got a module that covers all of the tools you'll need (especially CULA) to make your simulations run as fast as possible. Of course, if you're already experienced and you'd like to take your skills to the next level, we've got several advanced modules just for people like you.
If you'd like more information about our training program, send us a note.
Now that we're getting close to NVIDIA's GTC again, I wanted to update here with some exciting CULA news.
First up is GTC itself, dated September 20-23 in San Jose. The CULA team will be there in full force, as we were last year. We are presenting two papers this year: one on GPU linear algebra, where we will talk about the current and upcoming features of CULA. If you are interested in sparse matrices and are curious about our plans, then you should get a seat in this session. Remember that you must sign up for GTC talks ahead of time in order to guarantee admittance - last year we packed the room for our CULA talk and this year we have much much more to say! Our other talk is about other GPU work that takes place here at EM Photonics. A large portion of our work is focused on the needs of the military and government, and our other session will discuss a range of these applications, including: computational fluid dynamics (CFD), embedded systems - now with GPUs, and both embedded and data-center embodiments of image processing.
We will have a table at GTC as well, just as last year. You might remember that last year we served cupcakes (which we called CULAcakes!) Cupcakes aren't on this year's menu since the GTC catering kept us stuffed with delicious food, but we hope to be demoing on some some of our GPU software featuring some guest hardware that you probably haven't seen before.
We also have started planning our program for Supercomputing 2010, held this year in New Orleans. We certainly hope to see you all there!
In other news, we are working hard on a chapter for GPU Computing Gems 2. It details some of the underlying pieces of CULA that help get excellent speedups. CPUs do so well at linear algebra that getting 7x or more is quite the feat. That may not sound like much compared to the 100-200x speedups you see at the NVIDIA CUDA Zone, but remember that the CPU will take many years to reach our speeds. Is it too cheesy to say "tomorrow's computing today?"
Are you working with AMBER, NAMD or GROMACS? If yes, you may want to take a look at this limited time opportunity to simulate your molecule file using a Tesla GPU at no cost to you!
We heard it from PSSC Labs, one of the first HPC vendors to become a CULA Channel Partner. This is a very cool initiative led by NVIDIA. As we understand, anyone using AMBER, NAMD or CROMACS can basically register and test out NVIDIA’s Tesla GPUs, which claim to be capable of 10X or more speed ups for these molecular dynamic applications.
If you are interested, you can register through PSSC Labs and you can also email any questions about this GPU test drive to email@example.com.