Customizable Heterogeneous Acceleration for Tomorrow's High-Performance Computing

Alessandro Cilardo, José Flich, Mirko Gagliardi, Rafael Tornero · 2015

High-performance computing as we know it today is experiencing unprecedented changes, encompassing all levels from technology to use cases. This paper explores the adoption of customizable, deeply heterogeneous manycore systems for future QoS-sensitive and power-efficient high-performance computing. At the heart of the proposed architecture is a NoC-based manycore system embracing medium-end CPUs, GPU-like processors, and reconfigurable hardware regions. The paper discusses the high-level design principles inspiring this innovative architecture as well as the key role that heterogeneous acceleration, ranging from multicore processors and GPUs down to FPGAs, might play for tomorrow's high-performance computing.

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