Valar: a benchmark suite to study the dynamic behavior of heterogeneous systems
Proceedings of the 6th Workshop on General Purpose Processor Using Graphics Processing Units
Cooperative boosting: needy versus greedy power management
Proceedings of the 40th Annual International Symposium on Computer Architecture
Coordinated energy management in heterogeneous processors
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
ad-heap: an Efficient Heap Data Structure for Asymmetric Multicore Processors
Proceedings of Workshop on General Purpose Processing Using GPUs
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In an integrated CPU-GPU system, the CPU executes code that is profoundly different than in past CPU-only environments. This new code's characteristics should drive future CPU design and architecture. Post-GPU code has lower instruction-level parallelism, more difficult branch prediction, and loads and stores that are significantly harder to predict. Post-GPU code exhibits much smaller gains from the availability of multiple cores, owing to reduced thread-level parallelism.