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Dense matrix multiplication accelerators can surprisingly outperform dedicated sparse accelerators for sparse neural networks, offering better area and energy efficiency.
RecFlash slashes recommendation inference latency by up to 81% and energy consumption by nearly 92% through smart data remapping in NAND flash memory.