This short tutorial explains the usage of the GPU-accelerated HOOMD-blue particle simulation toolkit on our GPU-accelerated HPC cluster. Microway allows you to quickly test your codes on the latest high-performance systems – you are free to upload…
This is a tutorial on the usage of GPU-accelerated NAMD for molecular dynamics simulations. We make it simple to test your codes on the latest high-performance systems – you are free to use your own applications on…
Welcome to our tutorial on GPU-accelerated AMBER! We make it easy to benchmark your applications and problem sets on the latest hardware. Our GPU Test Drive Cluster provides developers, scientists, academics, and anyone else interested in GPU…
We’re very excited to be delivering systems with the new Xeon E5-2600v3 and E5-1600v3 CPUs. If you are the type who loves microarchitecture details and compiler optimization, there’s a lot to gain. If you haven’t explored the…
In my previous post, I presented a brief introduction to the CUB library of CUDA primitives written by Duane Merrill of NVIDIA. CUB provides a set of highly-configurable software components, which include warp- and block-level kernel components…
I’ve had several customers comment to me that it’s difficult to find someone that can speak with them intelligently about PCI-E root complex questions. And yet, it’s of vital importance when considering multi-CPU systems that have various…
CUB – a configurable C++ template library of high-performance CUDA primitives Each new generation of NVIDIA GPUs brings with it a dramatic increase in compute power and the pace of development over the past several years has…
Many within the HPC community have been eagerly awaiting the new Intel Xeon E5-4600 v2 CPUs. To those already familiar with the “Ivy Bridge” architecture in the Xeon E5-2600 v2 processors, many of the updated features of…
NVIDIA Tesla K40 is now the leading Tesla GPU for performance. Here are some important use-cases where Tesla K40 might greatly accelerate your GPU-accelerated applications: Pick Tesla K40 for Large Data Sets GPU memory has always been…
NVIDIA’s latest Tesla accelerator is without a doubt the most powerful GPU available. With almost 3,000 CUDA cores and 12GB GDDR5 memory, it wins in practically every* performance test you’ll see. As with the “Kepler” K20 GPUs,…
