ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1709.00700
  4. Cited By
Generating Custom Code for Efficient Query Execution on Heterogeneous
  Processors

Generating Custom Code for Efficient Query Execution on Heterogeneous Processors

3 September 2017
S. Breß
Bastian Köcher
Henning Funke
T. Rabl
Volker Markl
ArXiv (abs)PDFHTML

Papers citing "Generating Custom Code for Efficient Query Execution on Heterogeneous Processors"

2 / 2 papers shown
Query Processing on Tensor Computation Runtimes
Query Processing on Tensor Computation RuntimesProceedings of the VLDB Endowment (PVLDB), 2022
Dong He
Supun Nakandala
Dalitso Banda
Rathijit Sen
Karla Saur
Kwanghyun Park
Carlo Curino
Jesús Camacho-Rodríguez
Konstantinos Karanasos
Matteo Interlandi
482
52
0
03 Mar 2022
PlinyCompute: A Platform for High-Performance, Distributed,
  Data-Intensive Tool Development
PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development
Jia Zou
R. M. Barnett
T. Lorido-Botran
Shangyu Luo
Carlos Monroy
Sourav Sikdar
Kia Teymourian
Binhang Yuan
C. Jermaine
118
24
0
15 Nov 2017
1
Page 1 of 1