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TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. Tensor-Flow uses dataflow… Expand We propose a conceptually simple and lightweight framework for deep reinforcement learning that uses asynchronous gradient… Expand Two major trends in high-performance computing, namely, larger numbers of cores and the growing size of on-chip cache memory, are… Expand Massively multi-core processors are rapidly gaining market share with major chip vendors offering an ever increasing number of… Expand This paper presents Sora, a fully programmable software radio platform on commodity PC architectures. Sora combines the… Expand Three-dimensional integration enables stacking memory directly on top of a microprocessor, thereby significantly reducing wire… Expand Multi-core chips from Intel and AMD offer a dramatic boost in speed and responsiveness, and plenty of opportunities for… Expand This paper evaluates the suitability of the MapReduce model for multi-core and multi-processor systems. MapReduce was created by… Expand Applications need to become more concurrent to take advantage of the increased computational power provided by chip level… Expand This paper proposes and evaluates single-ISA heterogeneous multi-core architectures as a mechanism to reduce processor power… Expand