A library to generate LaTeX expression from Python code.

Automate spending requirements for high interest checking accounts / credit cards

Performance-portable, length-agnostic SIMD with runtime dispatch

My way of doing single gpu passthrough the simplest way, I've gathered many sources together to make the perfect Single GPU passthrough guide the simplest and easiest way.

upstream: https://github.com/RALC88/gem5

A GPU-based LZSS compression algorithm, highly tuned for NVIDIA GPGPUs and for streaming data, leveraging the respective strengths of CPUs and GPUs together.

A GPU-based LZSS compression algorithm, highly tuned for NVIDIA GPGPUs and for streaming data, leveraging the respective strengths of CPUs and GPUs together.

Parse multiple decimal integers separated by arbitrary number of delimiters

Jsmn is a world fastest JSON parser/tokenizer. This is the official repo replacing the old one at Bitbucket

Repository for nvCOMP docs and examples. nvCOMP is a library for fast lossless compression/decompression on the GPU that can be downloaded from https://developer.nvidia.com/nvcomp.

Dummy device tree for M2006J10C

This repository is a fork of https://git.openwrt.org/openwrt/openwrt.git

Command & Conquer: Remastered Collection

Python implementation of TPC-C

FEMU: Accurate, Scalable and Extensible NVMe SSD Emulator (FAST'18)

OX: Computational Storage SSD Controller

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow

The Internals of Spark SQL

Notes talking about the design and implementation of Apache Spark

A heterogeneous Apache Spark framework.

Thunderbird 60 tray icon for Linux and Windows (js-ctypes version of Firetray)

Explore the energy-efficient dataflow scheduling for neural networks.

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

A cheatsheet of modern C++ language and library features.

DRAMSim2: A cycle accurate DRAM simulator

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.

A pytorch implementation of Reading Wikipedia to Answer Open-Domain Questions.