OpenAI Triton backend for Intel® GPUs

Efficient Retrieval Augmentation and Generation Framework

Intel® NPU Acceleration Library

Python3 Interface to numa Linux library

Large Language Model (LLM) Systems Paper List

A 32-point pipelined Fast Fourier transform processor, using single path delay architecture, and based on radix2-DIF(decimation-in-frequency) algorithm. The average SNR = 58.76.

Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform

An end-to-end GCN inference accelerator written in HLS

A reading list for deep graph learning acceleration.

Build a Jekyll blog in minutes, without touching the command line.

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.

This repo is to collect the state-of-the-art GNN hardware acceleration paper

PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"

Magnificent app which corrects your previous console command.

A RISC-V 5-stage pipelined CPU that supports vector instructions. Tape-out with U18 technology.

🏃📆 Life as a git. Commit on your life.

🌆 🏙 🌃 Viz.js Graphviz - An Elegant Visualizer for And-Inverter Graph