lynnliu030's Stars
sunnyszy/lrb-prototype
Replay http request traces to evaluate the performance of webservers or caching systems.
gmum/Zero-Time-Waste
resource-disaggregation/snowset
Snowflake dataset containing statistics for 70 million queries over 14 day period
IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
iovisor/bcc
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
PCCproject/PCC-Uspace
The userspace implementations of PCC.
UMass-LIDS/Tragen
TRAGEN: A Synthetic Trace Generator for Realistic Cache Simulations
cmu-db/ottertune
The automatic DBMS configuration tool
hongzimao/pensieve
Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)
Terabit-Ethernet/Understanding-network-stack-overheads-SIGCOMM-2021
Tools for profiling the Linux network stack.
StanfordSNR/gg
The Stanford Builder
WukLab/LegoOS
Disseminated, Distributed OS for Hardware Resource Disaggregation. USENIX OSDI 2018 Best Paper.
UW-COSMOS/Cosmos
Knowledge base construction from raw scientific documents
delimitrou/DeathStarBench
Open-source benchmark suite for cloud microservices
eniac/Beldi
alexcasalboni/aws-lambda-power-tuning
AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.
microsoft/SPTAG
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.
ntucllab/striatum
Contextual bandit in python
bytedance/byteps
A high performance and generic framework for distributed DNN training
Orange-OpenSource/bmc-cache
In-kernel cache based on eBPF.
awslabs/aws-lambda-cpp
C++ implementation of the AWS Lambda runtime
facebook/CacheLib
Pluggable in-process caching engine to build and scale high performance services
pmem/pmdk
Persistent Memory Development Kit
facebookresearch/PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data.
r9y9/wavenet_vocoder
WaveNet vocoder
philipperemy/very-deep-convnets-raw-waveforms
Tensorflow - Very Deep Convolutional Neural Networks For Raw Waveforms - https://arxiv.org/pdf/1610.00087.pdf
facebook/rocksdb
A library that provides an embeddable, persistent key-value store for fast storage.
salesforce/awd-lstm-lm
LSTM and QRNN Language Model Toolkit for PyTorch
petuum/adaptdl
Resource-adaptive cluster scheduler for deep learning training.
moranzcw/Computer-Networking-A-Top-Down-Approach-NOTES
《计算机网络-自顶向下方法(原书第6版)》编程作业,Wireshark实验文档的翻译和解答。