Loremkang's Stars
lemire/fastrange
A fast alternative to the modulo reduction
plctlab/PLCT-Open-Reports
PLCT实验室的公开演讲,或者决定公开的组内报告
cmuparlay/parlayhash
Concurrent Hash Table
AnthonyCalandra/modern-cpp-features
A cheatsheet of modern C++ language and library features.
JiaoyiZhang/CARMI
A Cache-Aware Learned Index with a Cost-based Construction Algorithm. (VLDB'22)
manpen/dpu-communication-bench
upmem/dpu_demo
Examples of DPU programs using the UPMEM DPU SDK
curtis-sun/TLI
erikbern/ann-benchmarks
Benchmarks of approximate nearest neighbor libraries in Python
torvalds/test-tlb
Stupid memory latency and TLB tester
nlohmann/json
JSON for Modern C++
json-parser/json-parser
Very low footprint DOM-style JSON parser written in portable ANSI C
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
benhoyt/inih
Simple .INI file parser in C, good for embedded systems
Anduin2017/HowToCook
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
p-ranav/argparse
Argument Parser for Modern C++
basicthinker/YCSB-C
Yahoo! Cloud Serving Benchmark in C++, a C++ version of YCSB (https://github.com/brianfrankcooper/YCSB/wiki)
wangziqi2016/index-microbench
CMU-SAFARI/prim-benchmarks
PrIM (Processing-In-Memory benchmarks) is the first benchmark suite for a real-world processing-in-memory (PIM) architecture. PrIM is developed to evaluate, analyze, and characterize the first publicly-available real-world PIM architecture, the UPMEM PIM architecture. Described by Gómez-Luna et al. (https://arxiv.org/abs/2105.03814).
cmuparlay/parlaylib
A Toolkit for Programming Parallel Algorithms on Shared-Memory Multicore Machines
YunYouJun/air-conditioner
❄️ Yun Portable Air Conditoner. 云空调,便携小空调,为你的夏日带去清凉!
jcxue/RDMA-Tutorial
A tutorial on RDMA based programming using code examples
IntelligentSoftwareSystems/Galois
Galois: C++ library for multi-core and multi-node parallelization
higgsfield-ai/higgsfield
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
mhy12345/AwesomeCoding