发明申请
US20160275043A1 ENERGY AND AREA OPTIMIZED HETEROGENEOUS MULTIPROCESSOR FOR CASCADE CLASSIFIERS 审中-公开
能源和区域优化分类器的异构多重分配器

ENERGY AND AREA OPTIMIZED HETEROGENEOUS MULTIPROCESSOR FOR CASCADE CLASSIFIERS
摘要:
In one embodiment, a heterogeneous multicore processor is described that is optimized to execute multi-stage computer vision algorithms such as cascade classifier workloads. In such embodiment the heterogeneous processor includes at least one SIMD core, such as a vector processor core, coupled with one or more scalar cores. In one embodiment the heterogeneous multiprocessor executes multi-stage compute operations, where the SIMD core computes a first set of stages and the one or more scalar cores compute the second set of stages. In one embodiment, a process for designing a heterogeneous multicore processor is disclosed which optimizes the ratio of scalar to SIMD cores based on execution time of the multi-stage compute operation in relation to processor die area consumed by a processor configuration having the ratio.
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