WarpCore: A Library for fast Hash Tables on GPUs.

Publication type:
Journal article
Metadata:
Autoren
  • Daniel Jünger
  • Robin Kobus
  • André Müller
  • Christian Hundt
  • Kai Xu
  • Weiguo Liu
  • Bertil Schmidt
Zeitschrift
CoRR
Datum der Veröffentlichung
2020
Titel
WarpCore: A Library for fast Hash Tables on GPUs.
Ausgabe der Zeitschrift
abs/2009.07914

Data source: DBLP

Other metadata sources:
Abstract
Hash tables are ubiquitous. Properties such as an amortized constant time complexity for insertion and querying as well as a compact memory layout make them versatile associative data structures with manifold applications. The rapidly growing amount of data emerging in many fields motivated the need for accelerated hash tables designed for modern parallel architectures. In this work, we exploit the fast memory interface of modern GPUs together with a parallel hashing scheme tailored to improve global memory access patterns, to design WarpCore -- a versatile library of hash table data structures. Unique device-sided operations allow for building high performance data processing pipelines entirely on the GPU. Our implementation achieves up to 1.6 billion inserts and up to 4.3 billion retrievals per second on a single GV100 GPU thereby outperforming the state-of-the-art solutions cuDPP, SlabHash, and NVIDIA RAPIDS cuDF. This performance advantage becomes even more pronounced for high load factors of over $90\%$. To overcome the memory limitation of a single GPU, we scale our approach over a dense NVLink topology which gives us close-to-optimal weak scaling on DGX servers. We further show how WarpCore can be used for accelerating a real world bioinformatics application (metagenomic classification) with speedups of over two orders-of-magnitude against state-of-the-art CPU-based solutions. WC is written in C++/CUDA-C and is openly available at https://github.com/sleeepyjack/warpcore.
Autoren
  • Daniel Jünger
  • Robin Kobus
  • André Müller
  • Christian Hundt
  • Kai Xu
  • Weiguo Liu
  • Bertil Schmidt
Autoren-URL
http://arxiv.org/abs/2009.07914v2
Schlüsselwörter
  • cs.DC
  • cs.DC
Notes
To be published in HiPC 2020 (best paper award winner)
Datum der Veröffentlichung
2020
Datum der Datenerfassung
2020
Datum, an dem der Datensatz öffentlich gemacht wurde
2020
Titel
WarpCore: A Library for fast Hash Tables on GPUs

Files

2009.07914v2.pdf

Data source: arXiv

Beziehungen:
Property of

Tools