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 ...

This directory contains a benchmark harness for testing different implementations of vector-matrix multiply (VMM) for varying problem sizes. The main code is benchmark.cpp, which sets up the problem, ...

If you are looking to develop your skills on vectors or matrices then we can point you in the right direction for some support and practice. The resources below revisit complex Maths topics included ...

“Several manufacturers have already started to commercialize near-bank Processing-In-Memory (PIM) architectures. Near-bank PIM architectures place simple cores close to DRAM banks and can yield ...

Abstract: Using an ensemble of neural networks is an effective means of quantifying the uncertainty of an output prediction. However, the memory cost of storing a large ensemble of neural networks ...

Optical computing uses photons instead of electrons to perform computations, which can significantly increase the speed and energy efficiency of computations by overcoming the inherent limitations of ...

import glsl; [shader("fragment")] void fragment_main() { mat4 matrix = mat4(1.0); vec4 vector = vec4(1.0); vec4 result0 = matrix * vector; vec4 result1 = matrix ...

Abstract: Efficient manipulation of sparse matrices is critical to a wide range of HPC applications. Increasingly, GPUs are used to accelerate these sparse matrix operations. We study one common ...