Navigating Spreading-out Graph For Approximate Nearest Neighbor Search

Benchmark for Sampling Applied Learned Indexes (SIGMOD '24)

RocksDB scheme that implements the levels into heterogeneous storage and utilizes hybrid compression techniques.

ThanosKV: A Holistic Approach to Utilize NVM for LSM-tree based Key-Value Stores

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 sc…

Official QEMU mirror. Please see http://wiki.qemu.org/Contribute/SubmitAPatch for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.

Framework for evaluating ANNS algorithms on billion scale datasets.

Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search

Benchmarks of approximate nearest neighbor libraries in Python

This is the user space repo for famfs, the fabric-attached memory file system

Linux kernel source tree

GRE is a benchmark suite to compare learned indexes and traditional indexes.

WiscSee tells if you are using SSDs in the right way.

This is a study group studying SSD, FTL, and FEMU in 2024.

This is a study group studying SSD, FTL, and FEMU in 2024.

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

Sample program for article "SIMD-ized searching in unique constant dictionary" (http://0x80.pl/articles/simd-search.html)

The Equation-of-State Package (EOSPAC) is a library of routines that are used by simulation codes to read and manipulate equation-of-state data contained in the Sesame formatted data libraries.

매쉬업 백엔드팀 세미나 자료 레포지토리입니다.

면접 대비 CS 스터디 👨🏻‍💻👩🏻‍💻 🔥

Code for our VLDB paper: A Critical Analysis of Recursive Model Indexes