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This paper introduces AccelForge, which improves upon existing accelerator modeling frameworks in capabilities, speed, and ease-of-use and includes fast mappers that enable accurate evaluation in orders of magnitude less (computer and human) time.
Forget brute-force search: a new mapper finds provably optimal accelerator mappings with fusion for Transformers over 1000x faster.
Find optimal DNN accelerator mappings in under a minute, something previously impossible, and expose the suboptimality of prior mapping heuristics.
