Category Archives: Software

CUB in Action – some simple examples using the CUB template library

Posted on June 18, 2014 by Justin Foley (for Microway)

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 as well as … Continue reading →

Introducing CUDA UnBound (CUB)

Posted on April 14, 2014 by Justin Foley (for Microway)

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 been rapid. The … Continue reading →

SC13 Highlights

Posted on December 11, 2013 by Jan Smith

If you asked around at SC this year, some attendees might have told you there wasn’t much new going on. It’s true that not every company was launching new hardware with 2X performance, but there were significant announcements. Some are … Continue reading →

5 Easy First Steps on GPUs – Accelerating Your Applications

Posted on April 26, 2013 by Eliot Eshelman

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 appropriate to review … Continue reading →

Hadoop isn’t just for Web 2.0 Big Data Anymore. Hadoop for HPC.

Posted on February 13, 2013 by Microway

In 2004 Google released a white paper on their use of the MapReduce framework to perform fast and reliable executions of similar processes / data transformations & queries at terabyte scale. Yahoo then began the Hadoop project to support their … Continue reading →

GPU Performance without GPU Coding

Posted on January 13, 2012 by Eliot Eshelman

I think everyone in the HPC arena has heard plenty about GPUs. GPUs aren’t sophisticated like CPUs, but they provide raw performance for those who know how to use them. The question for those who have large computational workloads has … Continue reading →