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…
This resource was prepared by Microway from data provided by NVIDIA and trusted media sources. All NVIDIA GPUs support general purpose computation (GPGPU), but not all GPUs offer the same performance or support the same features. The…
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,…
This article provides in-depth details of the NVIDIA Tesla K-series GPU accelerators (codenamed “Kepler”). “Kepler” GPUs improve upon the previous-generation “Fermi” architecture. For more information on other Tesla GPU architectures, please refer to: Important changes available in…
The debut of NVIDIA’s Kepler architecture in 2012 marked a significant milestone in the evolution of general-purpose GPU computing. In particular, Kepler GK110 (compute capability 3.5) brought unrivaled compute power and introduced a number of new features…
NVIDIA’s Tesla K20 GPU is currently the de facto standard for high-performance heterogeneous computing. Based upon the Kepler GK110 architecture, these are the GPUs you want if you’ll be taking advantage of the latest advancements available in…
This week NVIDIA provided a tutorial outlining first steps for GPU acceleration using OpenACC and CUDA. This was offered as part of the “GPUs Accelerating Research” week at Northeastern University and Boston University. After attending, it seemed…
NVIDIA is now shipping their 4.58 TFLOPS single-precision floating point GPUs. The Tesla K10 GPU Accelerators, based upon the Kepler GK104 architecture, are the first Teslas available from this new generation of products. They are designed for…
