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First author here. The hardware architectures are realistic - we developed & evaluated real example hardware implementations for them, validated on FPGA, and they achieved state-of…

It produces identical/bit-equivalent results as conventional/naive matrix multiplication for integer/fixed-point data types

For everyone discussing the reduced accuracy/numerical stability of the algorithms in floating-point, this is true. But note that the application of the algorithms in the work is e…

> you have to build hardware that matches the dimensions of the algorithm Yes the benefits are realized in custom hardware designs as opposed to software, however, the hardware arc…

Thanks, good summary. Regarding numerical stability, the application is for fixed-point arithmetic, and therefore numerical stability is not an issue (the result is identical compa…

IMHO, for fixed-point MM accelerators, there is no catch, I think it's an overlooked algorithm. It's based on an algorithm by Winograd who coincidentally also proposed another unre…

Personally I love my overpriced Samsung z fold, I don't use a laptop anymore (just a desktop), I can easily read double-column research articles wherever I am, it's great for drawi…