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ORCID31st HPDC 2022: Minneapolis, MN, USA
- Jon B. Weissman, Abhishek Chandra, Ada Gavrilovska, Devesh Tiwari:
HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022 - 1 July 2022. ACM 2022, ISBN 978-1-4503-9199-3
Keynotes
- Sudhanva Gurumurthi:
Heterogeneous Systems Resilience: From Research to Industry Standards. 1 - Franck Cappello:
A Reflection on Methodologies, Algorithms and Software for HPDC. 2 - Manish Parashar:
Data-Management for Extreme Science: Experiences in Translational Computer Science Research. 3
Session 1: Data Centers and HPC Systems
- Seongjae Park, Madhuparna Bhowmik, Alexandru Uta:
DAOS: Data Access-aware Operating System. 4-15 - Peter A. Dinda, Nick Wanninger, Jiacheng Ma, Alex Bernat, Charles Bernat, Souradip Ghosh, Christopher Kraemer, Yehya Elmasry:
FPVM: Towards a Floating Point Virtual Machine. 16-29 - Nicholas Gordon, John R. Lange:
Lifting and Dropping VMs to Dynamically Transition Between Time- and Space-sharing for Large-Scale HPC Systems. 30-42
Session 2: HPC Memory, I/O, and Storage Systems
- Jean Luca Bez
, Ahmad Maroof Karimi, Arnab Kumar Paul, Bing Xie, Suren Byna, Philip H. Carns, Sarp Oral, Feiyi Wang, Jesse Hanley:
Access Patterns and Performance Behaviors of Multi-layer Supercomputer I/O Subsystems under Production Load. 43-55 - Arjun Kashyap, Xiaoyi Lu:
NVMe-oAF: Towards Adaptive NVMe-oF for IO-Intensive Workloads on HPC Cloud. 56-70 - Jungi Jeong, Jianping Zeng, Changhee Jung:
Capri: Compiler and Architecture Support for Whole-System Persistence. 71-83
Session 3: Reliability and Scheduling
- Kurt B. Ferreira, Scott Levy, Joshua Hemmert, Kevin T. Pedretti:
Understanding Memory Failures on a Petascale Arm System. 84-96 - Di Zhang, Dong Dai, Bing Xie:
SchedInspector: A Batch Job Scheduling Inspector Using Reinforcement Learning. 97-109 - Aidi Pi, Xiaobo Zhou, Chengzhong Xu:
Holmes: SMT Interference Diagnosis and CPU Scheduling for Job Co-location. 110-121 - Qiang Fu, Yuede Ji, H. Howie Huang:
TLPGNN: A Lightweight Two-Level Parallelism Paradigm for Graph Neural Network Computation on GPU. 122-134
Session 4: HPC Algorithms
- Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao:
TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations. 135-147 - Sergi Laut, Marc Casas, Ricard Borrell:
Communication-aware Sparse Patterns for the Factorized Approximate Inverse Preconditioner. 148-158 - Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello:
Ultrafast Error-bounded Lossy Compression for Scientific Datasets. 159-171 - Ke Fan, Thomas Gilray, Valerio Pascucci, Xuan Huang, Kristopher K. Micinski, Sidharth Kumar:
Optimizing the Bruck Algorithm for Non-uniform All-to-all Communication. 172-184
Session 5: HPC Toolchains, Traces, and More
- Joaquin Chung, Wojciech Zacherek, A. J. Wisniewski, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
SciStream: Architecture and Toolkit for Data Streaming between Federated Science Instruments. 185-198 - Arnab K. Paul, Jong Youl Choi, Ahmad Maroof Karimi, Feiyi Wang:
Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems. 199-212 - Runzhou Han, Suren Byna, Houjun Tang, Bin Dong, Mai Zheng:
PROV-IO: An I/O-Centric Provenance Framework for Scientific Data on HPC Systems. 213-226
Session 6: Cloud Computing and Machine Learning
- Alexander Fuerst, Prateek Sharma:
Locality-aware Load-Balancing For Serverless Clusters. 227-239 - Md Rajib Hossen, Mohammad A. Islam, Kishwar Ahmed:
Practical Efficient Microservice Autoscaling with QoS Assurance. 240-252 - Fahao Chen, Peng Li, Celimuge Wu, Song Guo:
Hare: Exploiting Inter-job and Intra-job Parallelism of Distributed Machine Learning on Heterogeneous GPUs. 253-264 - Krishna Teja Chitty-Venkata, Murali Emani, Venkatram Vishwanath, Arun K. Somani:
Efficient Design Space Exploration for Sparse Mixed Precision Neural Architectures. 265-276
Poster Session
- Paula Olaya, Jakob Lüttgau, Naweiluo Zhou, Jay F. Lofstead, Giorgio Scorzelli, Valerio Pascucci, Michela Taufer:
NSDF-FUSE: A Testbed for Studying Object Storage via FUSE File Systems. 277-278 - Jakob Lüttgau, Paula Olaya, Naweiluo Zhou, Giorgio Scorzelli, Valerio Pascucci, Michela Taufer:
NSDF-Cloud: Enabling Ad-Hoc Compute Clusters Across Academic and Commercial Clouds. 279-280 - Tatsuhiro Nakamori, Jun Nemoto, Takashi Hoshino, Hideyuki Kawashima:
Decentralization of Two Phase Locking based Protocols. 281-282 - Cheng-Hsiang Chiu, Tsung-Wei Huang:
Composing Pipeline Parallelism using Control Taskflow Graph. 283-284 - Lee-or Alon, Orna Agmon Ben-Yehuda, Sigal Oren:
Auctioning Cluster Resources. 285-286
Workshop Summaries
- Alexandru Costan, Bogdan Nicolae, Kento Sato:
FlexScience'22: 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures. 287 - Luca Ferrucci, Massimo Coppola, Hanna Kavalionak, Ioannis Kontopoulos:
FRAME 2022: The 2nd Workshop on Flexible Resource and Application Management on the Edge. 288-289 - Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
HiPS2022: The 2nd Workshop on High Performance Serverless Computing. 290-291 - Sai Narasimhamurthy, Glenn K. Lockwood:
EMOSS '22: Workshop on Emerging Open Storage Systems and Solutions for Data Intensive Computing. 292-293 - Radita Liem, Ana Veroneze Solorzano, Connor Scully-Allison:
PERMAVOST '22: Workshop on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn Strategy. 294-295 - Jinoh Kim, Massimo Cafaro, Jerry Chou, Alex Sim:
SNTA'22: The 5th Workshop on Systems and Network Telemetry and Analytics. 296-297 - Jay F. Lofstead, Carlos Maltzahn, Ivo Jimenez:
P-RECS'22: 5th International Workshop on Practical Reproducible Evaluation of Systems. 298-299
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