The list of finalists for the 2014 HPCwire Readers’ Choice Awards is out. And projects making use of accelerated computing are all over this list.
With nominations in 13 of the categories, GPU-accelerated computing is making a growing impact in almost all areas of high-performance computing (HPC). Nominees range from ground-breaking breast cancer research projects to next-generation machine learning applications.
- Best Use of HPC in Life Sciences
Hologic’s GPU-accelerated 3D-mamography enables early, more accurate detection of breast cancer.
- Best Use of HPC in Oil and Gas
Eni deploys the fastest supercomputer in the oil industry. It’s comprised of IBM servers and NVIDIA GPU accelerators.
- Best Use of HPC in the Entertainment Industry
NVIDIA Quadro GPUs have been used in every film nominated for an Academy Award for Best Visual Effects for last six years.
- Best Use of HPC in an Enterprise HPC Application
IBM uses GPU accelerated machine learning for data clustering using the Hadoop and Mahout framework.
- Best Application of Green Computing in HPC
GPU accelerators power the top 15 systems on Green500 List.
The HPCwire Readers’ Choice awards recognize the most outstanding individuals and organizations in the industry. These nominees fit the bill.
In addition, many NVIDIA technologies made the cut. The CUDA parallel programming model is in the running in the category of “Best HPC Software Product or Technology.” NVlink, our new high-speed GPU to CPU interconnect technology, is a finalist for “Best HPC Interconnect Product or Technology.”
Voting for the HPCwire Readers’ Choice Awards is open until Friday, Oct. 3 at 11:59 pm PDT. HPCwire will announce the winners at November’s 2014 Supercomputing (SC14) conference in New Orleans.
Cast votes for your favorites, here.
If you plan to be at SC14, stop by our booth for more info on GPU-accelerated computing – and some cool technology demos. For those of you who just can’t wait, you can catch recordings of any of the exceptional theater talks from last year’s show at www.nvidia.com/sc13.