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Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration
[article]
2021
arXiv
pre-print
DNN accelerators are often developed and evaluated in isolation without considering the cross-stack, system-level effects in real-world environments. This makes it difficult to appreciate the impact of System-on-Chip (SoC) resource contention, OS overheads, and programming-stack inefficiencies on overall performance/energy-efficiency. To address this challenge, we present Gemmini, an open-source*, full-stack DNN accelerator generator. Gemmini generates a wide design-space of efficient ASIC
arXiv:1911.09925v3
fatcat:yftbmax3c5dqtfvovhyz57oihy