SUSE and the University of Delaware have joined the OpenMP ARB, a group of leading hardware and software vendors and research organizations creating the standard for the most popular shared-memory parallel programming model in use today.
This paper presents an overview of the past, present and future of the OpenMP application programming interface (API). While the API originally specified a small set of directives that guided shared memory fork-join parallelization of loops and program sections, OpenMP now provides a richer set of directives that capture a wide range of parallelization strategies that are not strictly limited to shared memory.
Austin, Texas – July 24, 2018 - The OpenMP® Architecture Review Board (ARB) has released Technical Report 7, the final preview and public comment draft for the future OpenMP® API, version 5.0. Version 5.0 will represent a major leap forward to ready the OpenMP programming model for Exascale computing. Users and implementers are encouraged to provide feedback on the proposed API. Feedback can be posted on the OpenMP Forum.
This Technical Report is the public comment draft for the OpenMP Application Programming Specification version 5.0 that augments the OpenMP API Specification version 4.5 with support for C11, C++14/17, and Fortran 2008, for concurrent loops, improved worksharing constructs, task reductions, runtime interfaces for first-party (OMPT) and for third-party tools (OMPD), major extensions to the device constructs, memory allocation features, improved task dependencies, and several clarifications and corrections. Download the TR7 OpenMP 5.0 Draft here and join the public discussion for TR7 here.
Michael Klemm, CEO, and Matthijs van Waveren, marketing coordinator for the OpenMP ARB, along with Jim Cownie, principal engineer, Intel Corporation (UK), consider the development of OpenMP over the last 20 years. The article appears in the current issue of Super Computing World, and requires registering for a free account (if you don't already have one.)
The OpenMP ARB announces the appointment of Barbara Chapman to its Board of Directors. Barbara Chapman is a professor of Applied Mathematics and Statistics, and of Computer Science, at Stony Brook University. She is also director of Computer Science and Mathematics at Brookhaven National Lab, where she leads an effort to evolve OpenMP and its implementation for large-scale scientific applications. Barbara aims to improve outreach and training activities to facilitate the adoption of OpenMP.
Genomic sequencing is being leveraged for a wide range of applications such as helping plant breeders select for traits for higher-yielding, more nutritious, and disease-resistant crops; diagnosing and treating diseases; and tracing the ancestry of organisms in the tree of life. With the cost of this technology dropping precipitously since the advent of High-Throughput Sequencing (HTS), sequence data are being generated at an accelerating pace, challenging the ability to store, process, and analyze it. more...