Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...
Weijia Shang received BS degree in computer engineering from Changsha Institute of Technology, China, and Master and Ph.D. degrees in computer engineering from Purdue University, West Lafayette, ...
Implements the General Matrix Multiplication algorithm, Strassen's algorithm, and Coppersmith and Winograd's Algorithm. usage: matrix-multiplication [options] -a <algorithm> - select which algorithm ...
Abstract: People have a hard time using cloud computing because of rules concerning privacy and security in fields like healthcare and banking. Fully Homomorphic Encryption (FHE) lets computers work ...
D15 Mandatory FA2-Forward: Implement forward pass for FA2 (e.g., a custom neural network layer). D20 Mandatory FA2-Backwards: Implement backward pass for FA2 (e.g., gradient computation). D20 Optional ...
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