This new technical paper titled "RedMulE: A Compact FP16 Matrix-Multiplication Accelerator for Adaptive Deep Learning on RISC-V-Based Ultra-Low-Power SoCs" was published by researchers at University of Bologna and ETH Zurich.
According to their abstract:
"One of the key stumbling stones is the need for parallel floating-point operations, which are considered unaffordable on sub-100 mW extre...
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