Posts by Mark Potts

HPC Scalability: 4 Common Barriers, 10 Possible Solutions

By in Application Engineering on July 20, 2017

Scaling HPC applications on your hardware is a vital task in supercomputing. If an application can’t use all of the hardware devoted to it, then you have expensive equipment sitting idle and not doing anyone any good. When looking at scalability, it is important to first ensure that the problem can scale. In other words, […]

CMake: Manage Software Builds and Improves Portability

By in Application Engineering on February 6, 2017

There are many build systems available for software development, and if your software is still using the venerable Make system, it can certainly pay to investigate an upgrade. Kitware’s cross-platform CMake system is one such framework, and it offers a considerable improvement. At its base level, CMake offers a single approach to building your software […]

Modernizing, Modularizing Fortran Codes With 2003 Standards

By in Application Engineering on November 16, 2016

The programming language Fortran has been in existence since 1957, and a large percentage of software that runs on HPC systems worldwide is written, at least in part, in Fortran. Since it has been in existence for so long, and so many scientists and engineers learned it early in their careers and have utilized it […]

Combining MPI and OpenMP For Leveraging Accelerators

By in Application Engineering on October 27, 2016

As HPC architectures continue to evolve and offer ever-increasing performance, it has become imperative to adapt existing software in order to fully harness that power. As discussed in an earlier post, the architectural approach to parallelism has come full circle in many ways. Nonetheless, MPI remains a fixture in HPC software design, and finding ways […]

Using TAU to Profile and Identify HPC Bottlenecks

By in Application Engineering on September 21, 2016

For high-performance computing professionals, a deep understanding of how programs execute is vital. Often, that knowledge can spell the difference between making proper use of computing resources and meeting deadlines – or not. Keys to optimizing HPC resources include profiling program elements such as functions or subroutines and identifying and alleviating potential bottlenecks. Profiling refers […]

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