According to Apple, to perform multiplication of matrices in a vector processing system, partial products are obtained by dot multiplication of vector registers containing multiple copies of elements ...
A parametrized functional unit that can be reconfigured into multiple parallel lanes of ALU's for vector computations. The ALU supports both 32-bit floating point and fixed point formats. Project ...
Abstract: Considering that Von Neumann architecture has bottlenecks in both speed and power consumption, in-memory computation is a promising solution. The in-memory computation needs to be carried ...
Abstract: The RISC-V Vector Extension (RVVE) enhances computational efficiency by exploring data-level parallelism, which can benefit Artificial Intelligence (AI) applications. The Zve32x subset is ...
This library offers optimized matrix multiplication routines specifically designed for high-performance computing on x86_64 architecture. Utilizing AVX (Advanced Vector Extensions) intrinsics, the ...
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