We consider the problem of massive matrix multiplication, which underlies many data analytic applications, in a large-scale distributed system comprising a group of worker nodes. We target the ...

Sparsification technology is crucial for deploying convolutional neural networks in resource-constrained environments. However, the efficiency of sparse models is hampered by irregular memory access ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

For example: M := M1 * M2 performs a linear algebraic matrix multiplication V := M1 * V1 performs a matrix * row vector linear algebraic multiplication V := V1 * M1 performs a column vector * matrix ...