Parallel computing is an important method used in high performance computing. A new SIMD architecture named ESCA (Engineering and Science Computing Accelerator) is introduced briefly in this paper. It ...

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 ...