Tech Xplore on MSN

RRAM-based analog computing system rapidly solves matrix equations with high precision

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...
IEEE

A Fault-Aware Architecture for Reliable Sparse Matrix Multiplication

Abstract: With the advancement of Artificial Intelligence (AI), the reliability of AI accelerators has become increasingly critical. Moreover, sparse matrix multiplication has become a fundamental ...
GitHub

Scalable Low-Complexity Implementation of Constant Matrix Multiplication Circuits

2024 IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 357–361, IEEE, Aug. 11, 2024. The publication above reproduces substantial portions of my original 2023 internship ...
IEEE

Performance Analysis of the Parallel Shared-Memory Sparse Matrix-Vector Multiplication on Unstructured Matrices

Abstract: This paper investigates sparse matrix-vector (SpMV) multiplication algorithm performance for unstructured sparse matrices. The development of an SpMV multiplication algorithm for this type ...
GitHub

etnapoli/HW-implementation-real-valued-AlphaEvolve-matrix-mul

Verilog code and MATLAB scripts for the hardware implementation of the Real-valued 4×4 Rank-48 AlphaEvolve matrix multiplication algorithm described in [1]. 01_SLP — Straight Line Program ...
Frontiers

Left-deep join order selection with higher-order unconstrained binary optimization on quantum computers

Join order optimization is among the most crucial query optimization problems, and its central position is also evident in the new research field where quantum computing is applied to database ...