CUDA Templates and Python DSLs for High-Performance Linear Algebra

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.

GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as…

Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.

Models and examples built with TensorFlow