Can Traditional Programming Bridge the Ninja Performance Gap for Parallel Computing Applications?

Current processor trends of integrating more cores with wider Single-instruction multiple-data (SIMD) units, along with a deeper and complex memory hierarchy, have made it increasingly more challenging to extract performance from applications. It is believed by some that traditional approaches to pr...

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Bibliographic Details

Published in:	Communications of the ACM Vol. 58; no. 5; pp. 77 - 87
Main Authors:	Satish, Nadathur, Kim, Changkyu, Chhugani, Jatin, Saito, Hideki, Krishnaiyer, Rakesh, Smelyanskiy, Mikhail, Girkar, Milind, Dubey, Pradeep
Format:	Article
Published:	Association for Computing Machinery May2015
Subjects:	Performance Parallel programs (Computer programs) Parallel programming C++ Multicore processors SIMD (Computer architecture)
Online Access:	View this record in EBSCOhost