Category Archives: Software

Accelerating Code with OpenACC and the NVIDIA Visual Profiler

Posted on March 14, 2016 by John Murphy

Comprised of a set of compiler directives, OpenACC was created to accelerate code using the many streaming multiprocessors (SM) present on a GPU. Similar to how OpenMP is used for accelerating code on multicore CPUs, OpenACC can accelerate code on … Continue reading →

Deep Learning Frameworks: A Survey of TensorFlow, Torch, Theano, Caffe, Neon, and the IBM Machine Learning Stack

Posted on January 13, 2016 by John Murphy

The art and science of training neural networks from large data sets in order to make predictions or classifications has experienced a major transition over the past several years. Through popular and growing interest from scientists and engineers, this field … Continue reading →

Keras and Theano Deep Learning Frameworks

Posted on October 5, 2015 by John Murphy

Here we will explore how to use the Theano and Keras Python frameworks for designing neural networks in order to accomplish specific classification tasks. In the process, we will see how Keras offers a great amount of leverage and flexibility … Continue reading →

Caffe Deep Learning Tutorial using NVIDIA DIGITS on Tesla K80 & K40 GPUs

Posted on September 17, 2015 by John Murphy

In this Caffe deep learning tutorial, we will show how to use DIGITS in order to train a classifier on a small image set.  Along the way, we’ll see how to adjust certain run-time parameters, such as the learning rate, … Continue reading →

How to Benchmark GROMACS GPU Acceleration on HPC Clusters

Posted on October 21, 2014 by Jan Smith

We know that many of our readers are interested in seeing how molecular dynamics applications perform with GPUs, so we are continuing to highlight various packages. This time we will be looking at GROMACS, a well-established and free-to-use (under GNU GPL) … Continue reading →

Benchmark MATLAB GPU Acceleration on NVIDIA Tesla K40 GPUs

Posted on October 17, 2014 by Eliot Eshelman

MATLAB is a well-known and widely-used application – and for good reason. It functions as a powerful, yet easy-to-use, platform for technical computing. With support for a variety of parallel execution methods, MATLAB also performs well. Support for running MATLAB … Continue reading →

Running GPU Benchmarks of HOOMD-blue on a Tesla K40 GPU-Accelerated Cluster

Posted on October 14, 2014 by Eliot Eshelman

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 and run your … Continue reading →

Benchmarking NAMD on a GPU-Accelerated HPC Cluster with NVIDIA Tesla K40

Posted on October 10, 2014 by Eliot Eshelman

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 our cluster and … Continue reading →

Running AMBER on a GPU Cluster

Posted on October 6, 2014 by Jan Smith

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 computing with the … Continue reading →

AVX2 Optimization and Haswell-EP (Xeon E5-2600v3) CPU Features

Posted on October 3, 2014 by Brett Newman

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 latest techniques and … Continue reading →