default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID22nd CLUSTER 2020: Kobe, Japan
- IEEE International Conference on Cluster Computing, CLUSTER 2020, Kobe, Japan, September 14-17, 2020. IEEE 2020, ISBN 978-1-7281-6677-3
IEEE Cluster 2020 Conference
Best Papers
- Konrad von Kirchbach, Markus Lehr, Sascha Hunold
, Christian Schulz, Jesper Larsson Träff:
Efficient Process-to-Node Mapping Algorithms for Stencil Computations. 1-11 - Minseok Kwon, Krishna Prasad Neupane, John Marshall, M. Mustafa Rafique:
CuVPP: Filter-based Longest Prefix Matching in Software Data Planes. 12-22 - Xi Luo, Wei Wu, George Bosilca, Yu Pei, Qinglei Cao, Thananon Patinyasakdikul, Dong Zhong, Jack J. Dongarra:
HAN: a Hierarchical AutotuNed Collective Communication Framework. 23-34 - Marc-André Vef, Rebecca Steiner, Reza Salkhordeh, Jörg Steinkamp, Florent Vennetier, Jean-François Smigielski, André Brinkmann:
DelveFS - An Event-Driven Semantic File System for Object Stores. 35-46
Performance Characterization and Scheduling
- Yichao Wang, Jie Wang, Jin-Kun Chen, Sicheng Zuo, Xiaoming Su, James Lin:
NeoMPX: Characterizing and Improving Estimation of Multiplexing Hardware Counters for PAPI. 47-56 - Tim Hegeman, Animesh Trivedi, Alexandru Iosup:
Grade10: A Framework for Performance Characterization of Distributed Graph Processing. 57-68 - Marcos Maroñas, Xavier Teruel, J. Mark Bull, Eduard Ayguadé, Vicenç Beltran:
Evaluating Worksharing Tasks on Distributed Environments. 69-80 - Anne Benoit, Valentin Le Fèvre, Lucas Perotin, Padma Raghavan, Yves Robert, Hongyang Sun:
Resilient Scheduling of Moldable Jobs on Failure-Prone Platforms. 81-91 - Loïc Pottier, Rafael Ferreira da Silva, Henri Casanova, Ewa Deelman:
Modeling the Performance of Scientific Workflow Executions on HPC Platforms with Burst Buffers. 92-103 - Sejin Kim, Yoonhee Kim:
Co-scheML: Interference-aware Container Co-scheduling Scheme Using Machine Learning Application Profiles for GPU Clusters. 104-108
Architecture and Network Support for HPC Workloads
- Jeremiah J. Wilke, Joseph P. Kenny:
Opportunities and limitations of Quality-of-Service in Message Passing applications on adaptively routed Dragonfly and Fat Tree networks. 109-118 - Jie Li, Ghazanfar Ali, Ngan V. T. Nguyen, Jon R. Hass, Alan Sill, Tommy Dang, Yang Chen:
MonSTer: An Out-of-the-Box Monitoring Tool for High Performance Computing Systems. 119-129 - Ching-Hsiang Chu, Kawthar Shafie Khorassani, Qinghua Zhou, Hari Subramoni, Dhabaleswar K. Panda:
Dynamic Kernel Fusion for Bulk Non-contiguous Data Transfer on GPU Clusters. 130-141 - Chao Zheng, Nathaniel Kremer-Herman, Tim Shaffer, Douglas Thain:
Autoscaling High-Throughput Workloads on Container Orchestrators. 142-152 - Yang Bai, Dezun Dong, Shan Huang, Zejia Zhou, Xiangke Liao:
SSP: Speeding up Small Flows for Proactive Transport in Datacenters. 153-161 - Yijia Zhang, Taylor L. Groves, Brandon Cook, Nicholas J. Wright, Ayse K. Coskun:
Quantifying the impact of network congestion on application performance and network metrics. 162-168 - Jorji Nonaka, Toshihiro Hanawa, Fumiyoshi Shoji:
Analysis of Cooling Water Temperature Impact on Computing Performance and Energy Consumption. 169-175
Framework for Data and Storage
- Daniel Rosendo, Pedro Silva, Matthieu Simonin, Alexandru Costan, Gabriel Antoniu:
E2Clab: Exploring the Computing Continuum through Repeatable, Replicable and Reproducible Edge-to-Cloud Experiments. 176-186 - Davut Ucar, Engin Arslan:
Streaming File Transfer Optimization for Distributed Science Workflows. 187-197 - Haoliang Tan, Zhiyuan Zhang, Xiangyu Zou, Qing Liao, Wen Xia:
Exploring the Potential of Fast Delta Encoding: Marching to a Higher Compression Ratio. 198-208 - Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar:
Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows. 209-220 - Qinglei Cao, George Bosilca, Wei Wu, Dong Zhong, Aurelien Bouteiller, Jack J. Dongarra:
Flexible Data Redistribution in a Task-Based Runtime System. 221-225
Programming, System Software and Container
- Bogdan Nicolae, Justin M. Wozniak, Matthieu Dorier, Franck Cappello:
DeepClone: Lightweight State Replication of Deep Learning Models for Data Parallel Training. 226-236 - Jie Ren, Kai Wu, Dong Li:
Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures. 237-247 - Hariharan Devarajan, Anthony Kougkas, Keith Bateman, Xian-He Sun:
HCL: Distributing Parallel Data Structures in Extreme Scales. 248-258 - Sascha Hunold, Abhinav Bhatele, George Bosilca, Peter Knees:
Predicting MPI Collective Communication Performance Using Machine Learning. 259-269 - Jesper Larsson Träff, Sascha Hunold:
Decomposing MPI Collectives for Exploiting Multi-lane Communication. 270-280 - Jonatan Enes, Guillaume Fieni, Roberto R. Expósito, Romain Rouvoy, Juan Touriño:
Power Budgeting of Big Data Applications in Container-based Clusters. 281-287 - Xusheng Zhang, Ziyu Shen, Bin Xia, Zheng Liu, Yun Li:
Estimating Power Consumption of Containers and Virtual Machines in Data Centers. 288-293
HPC Applications
- K. G. Renga Bashyam, Sathish Vadhiyar:
Fast Scalable Approximate Nearest Neighbor Search for High-dimensional Data. 294-302 - Niclas Jansson:
A Hybrid MPI+PGAS Approach to Improve Strong Scalability Limits of Finite Element Solvers. 303-313 - Kevin Sala, Alejandro Rico, Vicenç Beltran:
Towards Data-Flow Parallelization for Adaptive Mesh Refinement Applications. 314-325 - Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression. 326-336 - Mohammad Mahdi Javanmard, Zafar Ahmad, Jaroslaw Zola, Louis-Noël Pouchet, Rezaul Chowdhury, Robert J. Harrison:
Efficient Execution of Dynamic Programming Algorithms on Apache Spark. 337-348
IO, Visualization, and Machine Learning
- ChanJung Chang, Jerry Chou, Yu-Ching Chou, I-Hsin Chung:
ECS2: A Fast Erasure Coding Library for GPU-Accelerated Storage Systems with Parallel & Direct IO. 349-358 - Steven Wei Der Chien, Artur Podobas, Ivy Bo Peng, Stefano Markidis:
tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads. 359-370 - Jens Huthmann, Artur Podobas, Lukas Sommer, Andreas Koch, Kentaro Sano:
Extending High-Level Synthesis with High-Performance Computing Performance Visualization. 371-380 - Roba Binyahib, David Pugmire, Abhishek Yenpure, Hank Childs:
Parallel Particle Advection Bake-Off for Scientific Visualization Workloads. 381-391 - Wei Rang, Donglin Yang, Dazhao Cheng, Kun Suo, Wei Chen:
Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning. 392-398 - Gangzhao Lu, Weizhe Zhang, Zheng Wang:
Optimizing GPU Memory Transactions for Convolution Operations. 399-403
Posters
- Jonas Posner:
System-Level vs. Application-Level Checkpointing. 404-405 - Hoon Ryu, Ji Hoon Kang:
An HPC-based Prediction on the Practicality of Long-distance Quantum Key Distributions. 406-407 - Masahiro Nakao, Koji Ueno, Katsuki Fujisawa, Yuetsu Kodama, Mitsuhisa Sato:
Performance Evaluation of Supercomputer Fugaku using Breadth-First Search Benchmark in Graph500. 408-409 - Wenqi Lou, Chao Wang, Lei Gong, Xuehai Zhou:
OctCNN: An Energy-Efficient FPGA Accelerator for CNNs using Octave Convolution Algorithm. 410-411 - Tomohiro Kawanabe, Kazuma Hatta, Kenji Ono:
ChOWDER: A New Approach for Viewing 3D Web GIS on Ultra-High-Resolution Scalable Display. 412-413 - Yiyu Tan, Toshiyuki Imamura:
An FPGA-based Sound Field Rendering System. 414-415 - Antonis Papaioannou, Chrysostomos Zeginis, Kostas Magoutis:
The Case for Better Integrating Scalable Data Stores and Stream-Processing Systems. 416-417 - Shuhei Kudo, Keigo Nitadori, Takuya Ina, Toshiyuki Imamura:
Prompt Report on Exa-Scale HPL-AI Benchmark. 418-419 - Hao Zhang, Itta Ohmura, Makoto Taiji:
Implementing a Comprehensive Networks-on-Chip Generator with Optimal Configurations. 420-421 - Norihisa Fujita, Ryohei Kobayashi, Yoshiki Yamaguchi, Kohji Yoshikawa, Makito Abe, Masayuki Umemura:
Toward OpenACC-enabled GPU-FPGA Accelerated Computing. 422-423
Workshops
HPCMASPA 2020 Workshop
- Robert Dietrich, Frank Winkler, Andreas Knüpfer, Wolfgang E. Nagel:
PIKA: Center-Wide and Job-Aware Cluster Monitoring. 424-432 - Benjamin Schwaller, Nick Tucker, Tom Tucker, Benjamin A. Allan, Jim M. Brandt:
HPC System Data Pipeline to Enable Meaningful Insights through Analysis-Driven Visualizations. 433-441 - Ashish Pal, Preeti Malakar:
MAP: A Visual Analytics System for Job Monitoring and Analysis. 442-448 - Alexander V. Goponenko, Ramin Izadpanah, Jim M. Brandt, Damian Dechev:
Towards workload-adaptive scheduling for HPC clusters. 449-453 - Richard Todd Evans:
Democratizing Parallel Filesystem Monitoring. 454-458 - Benjamin A. Allan, Michael J. Aguilar, Benjamin Schwaller, Steven Langer:
LDMS Monitoring of EDR InfiniBand Networks. 459-463
EE HPC SOP 2020 Workshop
- Julita Corbalán, Lluis Alonso, Jordi Aneas, Luigi Brochard:
Energy Optimization and Analysis with EAR. 464-472 - Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie Taylor, Sridutt Bhalachandra:
Toward an End-to-End Auto-tuning Framework in HPC PowerStack. 473-483 - Yuetsu Kodama, Tetsuya Odajima, Eishi Arima, Mitsuhisa Sato:
Evaluation of Power Management Control on the Supercomputer Fugaku. 484-493 - Jorji Nonaka, Fumiyoshi Shoji:
HUD-Oden: A Practical Evaluation Environment for Analyzing Hot-Water Cooled Processors. 494-498 - Michael Ott, Woong Shin, Norman Bourassa, Torsten Wilde, Stefan Ceballos, Melissa Romanus, Natalie J. Bates:
Global Experiences with HPC Operational Data Measurement, Collection and Analysis. 499-508 - Masaaki Terai, Fumiyoshi Shoji, Toshiyuki Tsukamoto, Yukihiro Yamochi:
A Study of Operational Impact on Power Usage Effectiveness using Facility Metrics and Server Operation Logs in the K Computer. 509-513 - Michael Kercher, Gary New:
A Supercomputing Center Experience With Cooling Control Design. 514-518 - Joseph F. Prisco, Grant L. Stewart, Herbert Huber, Randy Rannow, Jason Hick, Dave Martinez, Brandon Hong, Aditya M. Deshpande:
Investigative Report on Electrical Commissioning in HPC Data Centers. 519-522
EAHPC 2020 Workshop
- Tetsuya Odajima, Yuetsu Kodama, Miwako Tsuji, Motohiko Matsuda, Yutaka Maruyama, Mitsuhisa Sato:
Preliminary Performance Evaluation of the Fujitsu A64FX Using HPC Applications. 523-530 - Andrei Poenaru, Simon McIntosh-Smith:
The Effects of Wide Vector Operations on Processor Caches. 531-539 - Joel Criado, Marta Garcia-Gasulla, Pramod S. Kumbhar, Omar Awile, Ioannis Magkanaris, Filippo Mantovani:
CoreNEURON: Performance and Energy Efficiency Evaluation on Intel and Arm CPUs. 540-548 - Adrian Jackson, Michèle Weiland, Nick Brown, Andrew Turner, Mark Parsons:
Investigating Applications on the A64FX. 549-558 - Bine Brank, Stepan Nassyr, Fatemeh Pouyan, Dirk Pleiter:
Porting Applications to Arm-based Processors. 559-566 - Nikunj Gupta, Rohit Ashiwal, Bine Brank, Sateesh K. Peddoju, Dirk Pleiter:
Performance Evaluation of ParalleX Execution model on Arm-based Platforms. 567-575 - Sylvain Jubertie, Guillaume Quintin, Fabrice Dupros:
On the Usage of the Arm C Language Extensions for a High-Order Finite-Element Kernel. 576-579
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-11-20 00:45 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
