Pinned Repositories
alpa
Auto parallelization for large-scale neural networks
miscellaneous
先做着
zlwu92's Repositories
zlwu92/miscellaneous
先做着
zlwu92/alpa
Auto parallelization for large-scale neural networks
zlwu92/bitutils
A shared library with useful bitwise tricks, developed in C++ 11.
zlwu92/Galois
Galois: C++ library for multi-core and multi-node parallelization
zlwu92/googletest
GoogleTest - Google Testing and Mocking Framework
zlwu92/graphit
GraphIt - A High-Performance Domain Specific Language for Graph Analytics
zlwu92/GSWITCH
A pattern-based algorithmic autotuner for graph processing on GPUs.
zlwu92/hybf-cc23-artifact
zlwu92/kahypar
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.
zlwu92/LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
zlwu92/leetcode-rust
zlwu92/Paddle-Lite
Multi-platform high performance deep learning inference engine (飞桨多端多平台高性能深度学习推理引擎）
zlwu92/qiskit
Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
zlwu92/Road2Coding
编程之路
zlwu92/TemplateResults
A template for a data analysis folder that can be easily exported as a webpage or as Supplementary Materials
zlwu92/zlwu92.github.io
zlwu92/mt-kahypar
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.
zlwu92/pybind11
Seamless operability between C++11 and Python
zlwu92/WHFC
Weighted HyperFlowCutter