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cs.AR2024★ 1 cited
Polaris: Multi-Fidelity Design Space Exploration of Deep Learning Accelerators
Chirag Sakhuja, Charles Hong, Calvin Lin
This paper presents a tool for automatically exploring the design space of deep learning accelerators (DLAs). Our main advancement is Starlight, a data-driven performance model tha…
cs.AR2024
LLM-Aided Compilation for Tensor Accelerators
Charles Hong, Sahil Bhatia, Altan Haan +4
Hardware accelerators, in particular accelerators for tensor processing, have many potential application domains. However, they currently lack the software infrastructure to suppor…