Abstract: This paper presents a 32-bit vector multiply-accumulate (MAC) architecture capable of supporting multiple precisions. The vector MAC can perform one 32÷32, one 32÷16, two 16÷16, four 8÷8 bit ...
Abstract: Sparse matrix-vector multiplication (SpMV) plays a key role in computational science and engineering, graph processing, and machine learning applications ...
I recently noticed what I think might be an undesirableDimension Error when multiplying a Vector{T} where T <: Real by a Unitful Quantity using the updating operator ...
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