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Kenneth Raffenetti
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2020 – today
- 2024
- [c17]Jiajun Huang
, Sheng Di
, Xiaodong Yu
, Yujia Zhai
, Jinyang Liu
, Yafan Huang
, Ken Raffenetti
, Hui Zhou
, Kai Zhao
, Xiaoyi Lu
, Zizhong Chen
, Franck Cappello
, Yanfei Guo
, Rajeev Thakur
:
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. ICS 2024: 437-448 - [c16]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Xiaoyi Lu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression. IPDPS 2024: 752-764 - [c15]Jiajun Huang
, Sheng Di
, Xiaodong Yu
, Yujia Zhai
, Jinyang Liu
, Yafan Huang
, Ken Raffenetti
, Hui Zhou
, Kai Zhao
, Zizhong Chen
, Franck Cappello
, Yanfei Guo
, Rajeev Thakur
:
POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. PPoPP 2024: 454-456 - [i9]Hui Zhou, Ken Raffenetti, Wesley Bland, Yanfei Guo:
Generating Bindings in MPICH. CoRR abs/2401.16547 (2024) - [i8]Hui Zhou, Ken Raffenetti, Junchao Zhang, Yanfei Guo, Rajeev Thakur:
Frustrated with MPI+Threads? Try MPIxThreads! CoRR abs/2401.16551 (2024) - [i7]Hui Zhou, Ken Raffenetti, Yanfei Guo, Thomas Gillis, Robert Latham, Rajeev Thakur:
Designing and Prototyping Extensions to MPI in MPICH. CoRR abs/2402.12274 (2024) - [i6]Hui Zhou, Robert Latham, Ken Raffenetti, Yanfei Guo, Rajeev Thakur:
MPI Progress For All. CoRR abs/2405.13807 (2024) - 2023
- [c14]Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur:
PiP-MColl: Process-in-Process-based Multi-object MPI Collectives. CLUSTER 2023: 354-364 - [c13]Jiajun Huang
, Kaiming Ouyang
, Yujia Zhai
, Jinyang Liu
, Min Si
, Ken Raffenetti
, Hui Zhou
, Atsushi Hori
, Zizhong Chen
, Yanfei Guo
, Rajeev Thakur
:
Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques. HPDC 2023: 333-334 - [c12]Thomas Gillis
, Ken Raffenetti
, Hui Zhou
, Yanfei Guo
, Rajeev Thakur
:
Quantifying the Performance Benefits of Partitioned Communication in MPI. ICPP 2023: 285-294 - [c11]Hui Zhou
, Ken Raffenetti
, Junchao Zhang
, Yanfei Guo
, Rajeev Thakur
:
Frustrated With MPI+Threads? Try MPIxThreads! EuroMPI 2023: 2:1-2:10 - [i5]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives. CoRR abs/2304.03890 (2023) - [i4]Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur:
Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques. CoRR abs/2305.10612 (2023) - [i3]Thomas Gillis, Ken Raffenetti, Hui Zhou, Yanfei Guo, Rajeev Thakur:
Quantifying the Performance Benefits of Partitioned Communication in MPI. CoRR abs/2308.03930 (2023) - [i2]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. CoRR abs/2308.05199 (2023) - 2022
- [c10]Hui Zhou, Ken Raffenetti
, Yanfei Guo, Rajeev Thakur:
MPIX Stream: An Explicit Solution to Hybrid MPI+X Programming. EuroMPI 2022: 1-10 - [i1]Hui Zhou, Ken Raffenetti, Yanfei Guo, Rajeev Thakur:
MPIX Stream: An Explicit Solution to Hybrid MPI+X Programming. CoRR abs/2208.13707 (2022) - 2020
- [c9]Noah Evans, Jan Ciesko, Stephen L. Olivier
, Howard Pritchard, Shintaro Iwasaki, Ken Raffenetti, Pavan Balaji:
Implementing Flexible Threading Support in Open MPI. ExaMPI@SC 2020: 21-30
2010 – 2019
- 2019
- [c8]Abdelhalim Amer, Charles Archer, Michael Blocksome, Chongxiao Cao, Michael Chuvelev, Hajime Fujita, Maria Garzaran, Yanfei Guo, Jeff R. Hammond, Shintaro Iwasaki, Kenneth J. Raffenetti
, Mikhail Shiryaev, Min Si, Kenjiro Taura
, Sagar Thapaliya, Pavan Balaji:
Software combining to mitigate multithreaded MPI contention. ICS 2019: 367-379 - 2017
- [c7]Yanfei Guo, Charles J. Archer, Michael Blocksome, Scott Parker, Wesley Bland, Ken Raffenetti, Pavan Balaji:
Memory Compression Techniques for Network Address Management in MPI. IPDPS 2017: 1008-1017 - [c6]Ken Raffenetti
, Abdelhalim Amer, Lena Oden, Charles Archer, Wesley Bland, Hajime Fujita, Yanfei Guo, Tomislav Janjusic, Dmitry Durnov, Michael Blocksome, Min Si, Sangmin Seo, Akhil Langer, Gengbin Zheng, Masamichi Takagi, Paul K. Coffman, Jithin Jose, Sayantan Sur, Alexander Sannikov, Sergey Oblomov, Michael Chuvelev, Masayuki Hatanaka, Xin Zhao, Paul F. Fischer, Thilina Rathnayake
, Matthew Otten
, Misun Min, Pavan Balaji:
Why is MPI so slow?: analyzing the fundamental limits in implementing MPI-3.1. SC 2017: 62 - 2015
- [c5]Ken Raffenetti, Antonio J. Peña
, Pavan Balaji:
Toward Implementing Robust Support for Portals 4 Networks in MPICH. CCGRID 2015: 1173-1176 - [c4]Swann Perarnau, Rajeev Thakur
, Kamil Iskra
, Ken Raffenetti, Franck Cappello, Rinku Gupta, Peter H. Beckman, Marc Snir, Henry Hoffmann, Martin Schulz
, Barry Rountree:
Distributed Monitoring and Management of Exascale Systems in the Argo Project. DAIS 2015: 173-178 - 2014
- [c3]Junchao Zhang, Bill Long, Kenneth Raffenetti, Pavan Balaji:
Implementing the MPI-3.0 Fortran 2008 Binding. EuroMPI/ASIA 2014: 1 - [c2]Wesley Bland, Kenneth Raffenetti, Pavan Balaji:
Simplifying the recovery model of user-level failure mitigation. ExaMPI@SC 2014: 20-25 - 2010
- [c1]Rajkumar Kettimuthu, Alex Sim
, Dan Gunter
, Bill Allcock, Peer-Timo Bremer, John Bresnahan, Andrew Cherry, Lisa Childers, Eli Dart
, Ian T. Foster, Kevin Harms, Jason Hick, Jason Lee
, Michael Link, Jeff Long, Keith Miller, Vijaya Natarajan, Valerio Pascucci, Ken Raffenetti, David Ressman, Dean N. Williams, Loren Wilson, Linda Winkler:
Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network. HPDC 2010: 316-319
Coauthor Index
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last updated on 2024-08-05 20:23 CEST by the dblp team
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