A mapping path for multi-GPGPU accelerated computers from a portable high level programming abstraction
Allen Leung, Nicolas Vasilache, Benoît Meister, Muthu Manikandan Baskaran, David Wohlford, Cédric Bastoul, Richard Lethin · 2010
Programmers for GPGPU face rapidly changing substrate of programming abstractions, execution models, and hardware implementations. It has been established, through numerous demonstrations for particular conjunctions of application kernel, programming languages, and GPU hardware instance, that it is possible to achieve significant improvements in the price/performance and energy/performance over general purpose processors. But these demonstrations are each the result of significant dedicated programmer labor, which is likely to be duplicated for each new GPU hardware architecture to achieve performance portability.