ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2404.12953
  4. Cited By
Low-Depth Spatial Tree Algorithms
v1v2 (latest)

Low-Depth Spatial Tree Algorithms

19 April 2024
Yves Baumann
Tal Ben-Nun
Maciej Besta
Lukas Gianinazzi
Torsten Hoefler
Piotr Luczynski
ArXiv (abs)PDFHTML

Papers citing "Low-Depth Spatial Tree Algorithms"

6 / 6 papers shown
Title
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency
  Analysis
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
Maciej Besta
Torsten Hoefler
GNN
77
56
0
19 May 2022
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
314
724
0
31 Jan 2021
Fast Stencil-Code Computation on a Wafer-Scale Processor
Fast Stencil-Code Computation on a Wafer-Scale Processor
K. Rocki
Dirk Van Essendelft
I. Sharapov
R. Schreiber
Michael Morrison
V. Kibardin
Andrey Portnoy
J. Dietiker
M. Syamlal
Michael James
46
60
0
07 Oct 2020
A Modular Benchmarking Infrastructure for High-Performance and
  Reproducible Deep Learning
A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning
Tal Ben-Nun
Maciej Besta
Simon Huber
A. Ziogas
D. Peter
Torsten Hoefler
ELMALM
54
77
0
29 Jan 2019
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
154
1,336
0
11 Dec 2018
Parallel Minimum Cuts in Near-linear Work and Low Depth
Parallel Minimum Cuts in Near-linear Work and Low Depth
Barbara Geissmann
Lukas Gianinazzi
28
23
0
25 Jul 2018
1