Vector-matrix multiplication dominates the computation time and energy for many workloads, particularly neural network algorithms and linear transforms (e.g, the Discrete Fourier Transform). Utilizing ...

algorithms New Breakthrough Brings Matrix Multiplication Closer to Ideal By eliminating a hidden inefficiency, computer scientists have come up with a new way to multiply large matrices that’s faster ...

this is c program for matrix multiplication. Contribute to mukeshdeuba/matrix-multiplication development by creating an account on GitHub.

Back to Top 6. Conclusion We propose an erasure coding strategy based on rateless fountain codes to speed up distributed matrix-vector multiplication in the presence of slow nodes (stragglers). For a ...

Sparse Matrix Vector Multiplication (SpMV) is one of the most basic problems in scientific and engineering computations. It is the basic operation in many realms, such as solving linear systems or ...