ICCS/ALCHEMY Workshop 2014
Date: Jun 09, 2014 – Jun 12, 2014
Location: Cairns, Australia
ALCHEMY Workshop
Architecture, Languages, Compilation and Hardware support for Emerging ManYcore systems
Held in conjunction with the International Conference on Computational Science (ICCS 2014)
Cairns, Australia
June 10-12, 2014
http://sites.google.com/site/alchemyworkshop
Massively parallel processors are made of hundreds to thousands cores, integrated memories and a dedicated network on a single chip. They provide high parallel performance while drastically reducing power consumption. Manycore architectures are therefore expected to enter both HPC (cloud servers, simulation, big data..) and embedded computing (autonomous vehicles, signal processing, cellular networks..). In the first session of this workshop, held together with ICCS 2013, we presented several academic and industrial works that contribute to the efficient programmability of manycores. This year, we also focus on preliminary user feedback to see if today available manycore processors meet their expectations.
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ALCHEMY Workshop
Architecture, Languages, Compilation and Hardware support for Emerging ManYcore systems
Held in conjunction with the International Conference on Computational Science (ICCS 2014)
Cairns, Australia
June 10-12, 2014
http://sites.google.com/site/alchemyworkshop
Massively parallel processors are made of hundreds to thousands cores, integrated memories and a dedicated network on a single chip. They provide high parallel performance while drastically reducing power consumption. Manycore architectures are therefore expected to enter both HPC (cloud servers, simulation, big data..) and embedded computing (autonomous vehicles, signal processing, cellular networks..). In the first session of this workshop, held together with ICCS 2013, we presented several academic and industrial works that contribute to the efficient programmability of manycores. This year, we also focus on preliminary user feedback to see if today available manycore processors meet their expectations.