HPC Storage is arguably one of the most pressing issues in HPC. Selecting various HPC Storage solutions is a problem that requires some research, study, and planning to be effective – particularly cost-effective. Getting this process started usually means understanding how your applications perform I/O. This article presents some techniques for examining I/O patterns in HPC applications.

The HPC market has come a long way in the last decade, but some issues still impede the full potential of the market.

Computationally complex problems constrained by conventional machine architectures might be improved with the use of hardware/software co-design, wherein components are purpose-built for specific applications.

Using the Open|SpeedShop Performance Tool to Find Application Performance Bottlenecks

AMD's new Opteron 6200 chip is tooled for HPC, with a revolutionary 16-core design and improved power management features.

OpenMP brings the power of multiprocessing to your C, C++, and Fortran programs.

Examine and optimize your server’s internal topology with this hardware locality tool suite.

Overcome the Global Interpreter Lock in Python and take advantage of run-time parallelism on multicore machines.

We take a close look at how to integrate graphics processors into your parallel programs with OpenCL.

We’ll show you around some of the tools you need for rolling out your own high-performance cluster.