Mitigating Memory-Induced Dark Silicon in Many-Accelerator Architectures

Many-Accelerator (MA) systems have been introduced as a promising architectural paradigm that can boost performance and improve power of general purpose computing platforms. In this paper, we focus on the problem of resource under-utilization, i.e. Dark Silicon, in FPGA-based MA platforms. We show that except the typically expected peak power budget, on-chip memory resources form a severe under…