This project demonstrates how a resistive crossbar can be used to perform matrix-vector multiplication. The goal is to simulate a 4x4 resistive crossbar in SPICE, where the resistances at each ...
A novel AI-acceleration paper presents a method to optimize sparse matrix multiplication for machine learning models, particularly focusing on structured sparsity. Structured sparsity involves a ...
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, ...
Abstract: The sparse matrix-vector multiplication (SpMV) is a fundamental computational kernel used in science and engineering. As a result, the performance of a large number of applications depends ...
“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: Sparse Matrix Vector multiplication (SpMV) is a fundamental operation in various computational science applications, characterized by a significant degree of inherent parallelism. Recent ...
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 ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback