and programming emerge. The necessary shape of the needed changes will not be clear until some reasonably general parallel-programming methods have been devised and shown to be promising.

Related to this is improving the ability of the programming workforce to cope with the new challenges of parallelism. This will involve retraining today’s programmers and also developing new models and abstractions to make parallel programming more accessible to typically skilled programmers.

CONCLUDING REMARKS

There is no guarantee that we can make future parallel computing ubiquitous and as easy to use as yesterday’s sequential computer, but unless we aggressively pursue efforts as suggested by the recommendations above, it will be game over for future growth in computing performance. This report describes the factors that have led to limitations of growth of single processors based on CMOS technology. The recommendations here are aimed at supporting and focusing research, development, and education in architectures, power, and parallel computing to sustain growth in computer performance and to permit society to enjoy the next level of benefits.



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