MaoZiming
PhD student @ UC Berkeley. @NetSys CS @ Yale, @Yale-LILY, @Thesys-lab @ CMU.
UC BerkeleyBerkeley, CA
Pinned Repositories
libCacheSim
a high performance library for building cache simulators
libmemcached
Resurrection of libmemcached
papers
Paper-reading notes for Berkeley OS prelim exam.
skypilot
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
fast23-GLCache
Repository for FAST'23 paper GL-Cache: Group-level Learning for Efficient and High-Performance Caching
Trinity
EuroSys '24: "Trinity: A Fast Compressed Multi-attribute Data Store"
DYLE
Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization
FeTaQA
Dataset for TACL 2022 paper: "FeTaQA: Free-form Table Question Answering"
MaoZiming's Repositories
MaoZiming/papers
Paper-reading notes for Berkeley OS prelim exam.
MaoZiming/libmemcached
Resurrection of libmemcached
MaoZiming/MaoZiming
MaoZiming/MaoZiming.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
MaoZiming/oblivious
MaoZiming/memcached
memcached development tree
MaoZiming/moka
A high performance concurrent caching library for Rust
MaoZiming/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
MaoZiming/rocksdb
A library that provides an embeddable, persistent key-value store for fast storage.