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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...
With continued Moore's law scaling, multicore-based architectures are becoming the de facto design paradigm for achieving low-cost and performance/power-efficient processing systems through effective exploitation of available parallelism in software and hardware. A crucial subsystem within multicores is the on-chip interconnection network that orchestrates high-bandwidth, low-latency, and low-power...
We attempt to provide an architectural support for fast and efficient bounds checking for multithread work-loads in chip-multiprocessor (CMP) environments. Bounds information sharing and smart tagging help to perform bounds checking more effectively utilizing the characteristics of a pointer. Also, the BCache architecture allows fast access to the bounds information. Simulation results show that the...
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