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Report: UK OpenMP Users’ Conference

2020-04-08T13:08:58+00:00Jun 22, 2018|

The first UK OpenMP Users’ Group Meeting took place at St Catherine’s College Oxford on May 21st and 22nd. Over 40 people attended with everyone who completed the survey saying they would recommend it to colleagues, and rating it as either “Excellent”, or “Very Good”. The presentations are now available online.

20 Years of OpenMP Article in Scientific Computing World

2020-04-08T13:25:01+00:00May 04, 2018|

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.)

OpenMP Task Parallelism for Faster Genomic Data Processing

2018-07-01T01:54:08+00:00Mar 29, 2018|

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...

Using OpenMP – The Next Step

2020-09-08T08:41:06+00:00Oct 01, 2017|

New book: "Using OpenMP - The Next Step"; covering the OpenMP 4.5 specifications, with a focus on the practical usage of the language features and constructs. “This book is a must have for everyone interested in making the best use of the OpenMP language.” - Michael Klemm, CEO OpenMP ARB. more

OpenMP Accelerator Support for GPUs

2018-07-01T01:54:08+00:00Sep 17, 2017|

Blog: An overview of the OpenMP accelerator support including the latest OpenMP 4.5 features that enhance GPU accelerator support for Fortran, C/C++ and help take us toward Exascale Computing.

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