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arXiv · 2007.09109

Klessydra-T: Designing Vector Coprocessors for Multi-Threaded Edge-Computing Cores

Abdallah Cheikh·Stefano Sordillo·Antonio Mastrandrea·Francesco Menichelli·Giuseppe Scotti·Mauro Olivieri
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Abstract

Computation intensive kernels, such as convolutions, matrix multiplication and Fourier transform, are fundamental to edge-computing AI, signal processing and cryptographic applications. Interleaved-Multi-Threading (IMT) processor cores are interesting to pursue energy efficiency and low hardware cost for edge-computing, yet they need hardware acceleration schemes to run heavy computational workloads. Following a vector approach to accelerate computations, this study explores possible alternatives to implement vector coprocessing units in RISC-V cores, showing the synergy between IMT and data-level parallelism in the target workloads.

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Abdallah Cheikh, Stefano Sordillo, Antonio Mastrandrea, Francesco Menichelli, Giuseppe Scotti, Mauro Olivieri. 2020-07-17. Klessydra-T: Designing Vector Coprocessors for Multi-Threaded Edge-Computing Cores. https://doi.org/10.1109/mm.2021.3050962

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