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On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal
  Matrix Factorizations

On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal Matrix Factorizations

20 August 2021
Grzegorz Kwa'sniewski
Marko Kabić
Tal Ben-Nun
A. Ziogas
Jens Eirik Saethre
André Gaillard
Timo Schneider
Maciej Besta
Anton Kozhevnikov
J. VandeVondele
Torsten Hoefler
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Papers citing "On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal Matrix Factorizations"

4 / 4 papers shown
Title
HammingMesh: A Network Topology for Large-Scale Deep Learning
HammingMesh: A Network Topology for Large-Scale Deep Learning
Torsten Hoefler
Tommaso Bonato
Daniele De Sensi
Salvatore Di Girolamo
Shigang Li
Marco Heddes
Jon Belk
Deepak Goel
Miguel Castro
Steve Scott
3DH
GNN
AI4CE
29
20
0
03 Sep 2022
Deinsum: Practically I/O Optimal Multilinear Algebra
Deinsum: Practically I/O Optimal Multilinear Algebra
A. Ziogas
Grzegorz Kwa'sniewski
Tal Ben-Nun
Timo Schneider
Torsten Hoefler
18
4
0
16 Jun 2022
On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal
  LU Factorization
On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization
Grzegorz Kwa'sniewski
Tal Ben-Nun
A. Ziogas
Timo Schneider
Maciej Besta
Torsten Hoefler
22
7
0
12 Oct 2020
Scaling betweenness centrality using communication-efficient sparse
  matrix multiplication
Scaling betweenness centrality using communication-efficient sparse matrix multiplication
Edgar Solomonik
Maciej Besta
Flavio Vella
Torsten Hoefler
51
77
0
22 Sep 2016
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