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The trend of unsustainable power consumption and large memory bandwidth demands in massively parallel multicore systems, with the advent of the big data era, has brought upon the onset of alternate computation paradigms utilizing heterogeneity, specialization, processor-in-memory and approximation. Approximate Computing is being touted as a viable solution for high performance computation by relaxing...
Scalable Networks-on-Chip (NoCs) have become the de facto interconnection mechanism in large scale Chip Multiprocessors. Not only are NoCs devouring a large fraction of the on-chip power budget but static NoC power consumption is becoming the dominant component as technology scales down. Hence reducing static NoC power consumption is critical for energy-efficient computing. Previous research has proposed...
Reducing static NoC power consumption is becoming critical for energy-efficient computing as technology scales down since NoCs are devouring a large fraction of the on-chip power budget. We propose Fly-Over (FLOV), a light-weight distributed mechanism for power-gating routers. With simple modifications to the baseline router architecture, FLOV links are facilitated over power-gated routers. A Handshake...
Modern computation workloads contain abundant Data Level Parallelism (DLP), which requires specialized data parallel architectures, such as Graphics Processing Units (GPUs). With parallel programming models, such as CUDA and OpenCL, GPUs are easily to be programmed for non-graphics applications, and therefore become a cost effective approach for data parallel architectures. The large quantity of available...
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