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Publication search results
found 29 matches
- 2021
- Ruobing Chen, Jinping Wu, Haosen Shi, Yusen Li, Xiaoguang Liu, Gang Wang:
DRLPart: A Deep Reinforcement Learning Framework for Optimally Efficient and Robust Resource Partitioning on Commodity Servers. HPDC 2021: 175-188 - Chen Wang, Kathryn M. Mohror, Marc Snir:
File System Semantics Requirements of HPC Applications. HPDC 2021: 19-30 - Gustavo Alonso:
Hardware Specialization for Distributed Computing. HPDC 2021: 1 - Rosa M. Badia:
Superscalar Programming Models: A Perspective from Barcelona. HPDC 2021: 5 - Vito Giovanni Castellana, Marco Minutoli:
Productive Programming of Distributed Systems with the SHAD C++ Library. HPDC 2021: 263-264 - Jaemin Choi, David F. Richards, Laxmikant V. Kalé:
CharminG: A Scalable GPU-resident Runtime System. HPDC 2021: 261-262 - Michael Davis, Hans Vandierendonck:
Achieving Scalable Consensus by Being Less Writey. HPDC 2021: 257-258 - Thaleia Dimitra Doudali, Ada Gavrilovska:
Machine Learning Augmented Hybrid Memory Management. HPDC 2021: 253-254 - Dakota Fulp, Alexandra Poulos, Robert Underwood, Jon C. Calhoun:
ARC: An Automated Approach to Resiliency for Lossy Compressed Data via Error Correcting Codes. HPDC 2021: 57-68 - Maria Girone:
Computing Challenges for High Energy Physics. HPDC 2021: 3 - Shashank Gugnani, Xiaoyi Lu:
DStore: A Fast, Tailless, and Quiescent-Free Object Store for PMEM. HPDC 2021: 31-43 - Rankyung Hong, Abhishek Chandra:
DLion: Decentralized Distributed Deep Learning in Micro-Clouds. HPDC 2021: 227-238 - Hang Huang, Jia Rao, Song Wu, Hai Jin, Hong Jiang, Hao Che, Xiaofeng Wu:
Towards Exploiting CPU Elasticity via Efficient Thread Oversubscription. HPDC 2021: 215-226 - Shobhit Jagga, Preeti Malakar:
Parallel Program Scaling Analysis using Hardware Counters. HPDC 2021: 259-260 - Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens:
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling. HPDC 2021: 45-56 - Jaehoon Jung, Daeyoung Park, Gangwon Jo, Jungho Park, Jaejin Lee:
SnuRHAC: A Runtime for Heterogeneous Accelerator Clusters with CUDA Unified Memory. HPDC 2021: 107-120 - Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista-Gomez, Ryousei Takano, Rosa M. Badia, Mohamed Wahib:
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks. HPDC 2021: 161-173 - Yao Kang, Xin Wang, Zhiling Lan:
Q-adaptive: A Multi-Agent Reinforcement Learning Based Routing on Dragonfly Network. HPDC 2021: 189-200 - Sergi Laut, Ricard Borrell, Marc Casas:
Cache-aware Sparse Patterns for the Factorized Sparse Approximate Inverse Preconditioner. HPDC 2021: 81-93 - Jan-Patrick Lehr, Tim Jammer, Christian H. Bischof:
MPI-CorrBench: Towards an MPI Correctness Benchmark Suite. HPDC 2021: 69-80 - Carl Pearson, Kun Wu, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu:
TEMPI: An Interposed MPI Library with a Canonical Representation of CUDA-aware Datatypes. HPDC 2021: 95-106 - Neeraj Rajesh, Hariharan Devarajan, Jaime Cernuda Garcia, Keith Bateman, Luke Logan, Jie Ye, Anthony Kougkas, Xian-He Sun:
Apollo: : An ML-assisted Real-Time Storage Resource Observer. HPDC 2021: 147-159 - Piyush Sao, Hao Lu, Ramakrishnan Kannan, Vijay Thakkar, Richard W. Vuduc, Thomas E. Potok:
Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters. HPDC 2021: 121-131 - Tyler J. Skluzacek, Ryan Wong, Zhuozhao Li, Ryan Chard, Kyle Chard, Ian T. Foster:
A Serverless Framework for Distributed Bulk Metadata Extraction. HPDC 2021: 7-18 - Staci A. Smith, David K. Lowenthal:
Jigsaw: A High-Utilization, Interference-Free Job Scheduler for Fat-Tree Clusters. HPDC 2021: 201-213 - Namratha Urs, Marco Mambelli, Dave Dykstra:
Using Pilot Jobs and CernVM File System for Simplified Use of Containers and Software Distribution. HPDC 2021: 255-256 - Bin Wang, Ahmed Ali-Eldin, Prashant J. Shenoy:
LaSS: Running Latency Sensitive Serverless Computations at the Edge. HPDC 2021: 239-251 - Laiping Zhao, Fangshu Li, Wenyu Qu, Kunlin Zhan, Qingman Zhang:
AITurbo: Unified Compute Allocation for Partial Predictable Training in Commodity Clusters. HPDC 2021: 133-145 - Erwin Laure, Stefano Markidis, Ana Lucia Verbanescu, Jay F. Lofstead:
HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, Virtual Event, Sweden, June 21-25, 2021. ACM 2021, ISBN 978-1-4503-8217-5 [contents]
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