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 ...

The average snake caught has measured 12.6 feet in length, and the program has removed 277 breeding females. The Burmese python has a diet of more than 80 species, according to the Conservancy.

The average snake caught has measured 12.6 feet in length, and the program has removed 277 breeding females. The Burmese python has a diet of more than 80 species, according to the Conservancy.

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 ...

DBCSR is a library designed to efficiently perform sparse matrix-matrix multiplication, among other operations. It is MPI and OpenMP parallel and can exploit Nvidia and AMD GPUs via CUDA and HIP. To ...