Publication date
April 2021
DOIAbstract
A programming system for heterogeneous compute clusters with many-core devices such as GPU
A programming system for heterogeneous compute clusters with many-core devices such as GPU
There’s no doubt that the fundamentals of computer programming were broken at the launch of the mu...
GPU-based heterogeneous clusters continue to draw atten-tion from vendors and HPC users due to their...
High performance computing (HPC) most generally refers to the practice of aggregating computing powe...
New generations of many-core hardware become available frequently and are typically attractive exten...
The evolution from single core CPUs to heterogeneous computing. Activities in SINTEF ICT relate...
Cashmere is a software distributed shared memory (SDSM) system designed for today's high-performance...
Application programming for modern heterogeneous systems which comprise multi-core CPUs and multiple...
Map-Reduce is a framework for processing parallelizable problem across huge datasets using a large c...
International audienceThis book chapter proposes to draw several development methodologies to obtain...
Mars-HD was built over Mars, a GPU MapReduce Framework, to allow it to work in the Hadoop cluster...
Application programming for modern heterogeneous systems which comprise multiple accelerators (multi...
Gardens is an integrated programming language and system which supports efficient parallel computati...
A trend that has materialized, and has given rise to much atten-tion, is of the increasingly heterog...
As parallel computing resources have been too expensive for most of the CAGD community, efficient im...
During the first decade of the twenty-first century, the advent of multicore processing reached its ...
There’s no doubt that the fundamentals of computer programming were broken at the launch of the mu...
GPU-based heterogeneous clusters continue to draw atten-tion from vendors and HPC users due to their...
High performance computing (HPC) most generally refers to the practice of aggregating computing powe...
New generations of many-core hardware become available frequently and are typically attractive exten...
The evolution from single core CPUs to heterogeneous computing. Activities in SINTEF ICT relate...
Cashmere is a software distributed shared memory (SDSM) system designed for today's high-performance...
Application programming for modern heterogeneous systems which comprise multi-core CPUs and multiple...
Map-Reduce is a framework for processing parallelizable problem across huge datasets using a large c...
International audienceThis book chapter proposes to draw several development methodologies to obtain...
Mars-HD was built over Mars, a GPU MapReduce Framework, to allow it to work in the Hadoop cluster...
Application programming for modern heterogeneous systems which comprise multiple accelerators (multi...
Gardens is an integrated programming language and system which supports efficient parallel computati...
A trend that has materialized, and has given rise to much atten-tion, is of the increasingly heterog...
As parallel computing resources have been too expensive for most of the CAGD community, efficient im...
During the first decade of the twenty-first century, the advent of multicore processing reached its ...
There’s no doubt that the fundamentals of computer programming were broken at the launch of the mu...
GPU-based heterogeneous clusters continue to draw atten-tion from vendors and HPC users due to their...
High performance computing (HPC) most generally refers to the practice of aggregating computing powe...
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