Compiling to avoid communication

Future computing system designs will be constrained by power density and total system energy, and will require new programming models and implementation strategies. Data movement in the memory system and interconnect will dominate running time and energy costs, making communication cost reduction th...

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Vydané v:PACT'12 : proceedings of the 21st International Conference on Parallel Architectures and Compilation Techniques, September 19-23, Minneapolis, Minnesota, USA s. 157
Hlavný autor: Yelick, Kathy
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Jazyk:English
Vydavateľské údaje: ACM 01.09.2012
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Abstract Future computing system designs will be constrained by power density and total system energy, and will require new programming models and implementation strategies. Data movement in the memory system and interconnect will dominate running time and energy costs, making communication cost reduction the primary optimization criteria for compilers. Communication cost can be divided into latency costs, which are per communication event, and bandwidth costs, which grow with total communication volume.
AbstractList Future computing system designs will be constrained by power density and total system energy, and will require new programming models and implementation strategies. Data movement in the memory system and interconnect will dominate running time and energy costs, making communication cost reduction the primary optimization criteria for compilers. Communication cost can be divided into latency costs, which are per communication event, and bandwidth costs, which grow with total communication volume.
Author Yelick, Kathy
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Snippet Future computing system designs will be constrained by power density and total system energy, and will require new programming models and implementation...
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StartPage 157
SubjectTerms Autotuning
Bandwidth
Communication
Compiler
Computational modeling
Density measurement
Latency
Optimization
Power system measurements
Programming
System analysis and design
Title Compiling to avoid communication
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