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Modern processors are evolving into hybrid, heterogeneous processors with both CPU and GPU cores used for general purpose computation. Several languages such as Brook, CUDA, and more recently OpenCL are being developed to fully harness the potential of these processors. These languages typically involve the control code running on the CPU and the(More)
The GPGPU model represents a style of execution where thousands of threads execute in a data-parallel fashion, with a large subset (typically 10s to 100s) needing frequent synchronization. As the GPGPU model evolves target both GPUs and CPUs as acceleration targets, thread synchronization becomes an important problem when running on CPUs. CPUs have little(More)
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