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Code for paper "Engineering a High-Performance GPU B-Tree" accepted to PPoPP 2019

License: BSD 2-Clause "Simplified" License

C 2.30% Cuda 90.06% CMake 7.64%

gpubtree's Introduction

GpuBTree

A GPU B-Tree optimized for updates.

An improved implementation of the GPU B-Tree is now available at MVGpuBTree.

Publication

Muhammad A. Awad, Saman Ashkiani, Rob Johnson, Martín Farach-Colton, and John D. Owens. Engineering a High-Performance GPU B-Tree, In Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2019, pages 145–157, February 2019. [Link]

Cloning and Building

  1. Clone: git clone https://github.com/owensgroup/GpuBTree.git
  2. mkdir build && cd build
  3. cmake ..
  4. make

Sample Driver Code

The repository contains two sample driver code for build and query operations. To test the code after building you can run: ./bin/test_map numberOfKeys ./bin/test_search numberOfKeys numberOfQueries

Limitaions

  • 32-bit keys and values ranging between (0 to 2^31 - 2)
  • In general, 90% of the tree nodes will be leaf nodes, which will be (on average) 2/3 full. So if we allocate 4 GiBs, then the tree will store up to 2.4 GiBs pairs (i.e., around 307.2 million 4-bytes keys before performing any deletion).

Questions or Bug Report

This code was tested on an NVIDIA Tesla K40c and Volta Titan V GPUs. Please open an issue if you find any bugs or if you have any questions. This issue contains the planned future additions to this repository.

gpubtree's People

Contributors

maawad avatar

Watchers

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