Nov, 2018
MHPCC and the U of Manchester Join the OpenMP Effort
The Maui High-Performance Computing Center (MHPCC) and the University of Manchester have joined the OpenMP ARB. This brings the number of vendors and research organizations now collaborating on developing the standard parallel programming model to 33.
OPENMP 5.0 IS A MAJOR LEAP FORWARD
SC18, Dallas, Texas – November 8, 2018 – The OpenMP® Architecture Review Board (ARB) is pleased to announce Version 5.0 of the OpenMP API Specification, a major upgrade of the OpenMP language. The OpenMP community has made many requests since version 4.5 was introduced in 2015. As a result OpenMP 5.0 adds many new features that will be useful for highly parallel and complex applications. OpenMP now covers the entire hardware spectrum from embedded and accelerator devices to multicore systems with shared-memory. Vendors have made reference implementations of parts of the standard, and user courses will soon be given at OpenMP workshops and major conferences. More...
Oct, 2018
OpenMP @ SC18 Dallas, TX.
Join us in Dallas, TX. for SuperComputing 2018 where we will be celebrating the latest OpenMP 5.0 specification. In addition we have a packed agenda of other OpenMP events, inc. booth talks, BOF, tutorials, and papers. more
Sep, 2018
SUSE and University of Delaware Join the OpenMP Effort
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.
Aug, 2018
IEEE Article: The Ongoing Evolution of OpenMP
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.
OpenMP ARB Releases Preview of OpenMP 5.0 for Public Review
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.
Jul, 2018
TR7 – OpenMP 5.0 Draft Now Available for Public Discussion
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.
May, 2018
20 Years of OpenMP Article in Scientific Computing World
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 Super Computing World, and requires registering for a free account (if you don't already have one.)
Apr, 2018
Barbara Chapman Appointed to OpenMP Board of Directors
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.
Mar, 2018
OpenMP Task Parallelism for Faster Genomic Data Processing
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...