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A Survey of CPU-GPU Heterogeneous Computing Techniques
2015
ACM Computing Surveys
Thanks to parallel processing, it is possible not only to reduce code runtime but also energy consumption once the workload has been adequately distributed among the available cores. The current availability of heterogeneous architectures including GPU and CPU cores with different power-performance characteristics and mechanisms for dynamic voltage and frequency scaling does, in fact, pose a new challenge for developing efficient parallel codes that take into account both the achieved speedup
doi:10.1145/2788396
fatcat:syf63kygozdvxaafisz6s6l34a