dblp: CLUSTER 2020 (original) (raw)

default search action

• combined dblp search
• author search
• venue search
• publication search

Authors:

• no matches
• 

Venues:

• no matches
• 

Publications:

• no matches
• 

22nd CLUSTER 2020: Kobe, Japan

• > Home > Conferences and Workshops > CLUSTER

SPARQL queries

Refine list

refinements active!

zoomed in on ?? of ?? records

view refined list in

export refined list as

• 
  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.

Unpaywalled article links

Add open access links from to the list of external document links (if available).

load links from unpaywall.org

Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.

Archived links via Wayback Machine

For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).

load content from archive.org

Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.

Reference lists

Add a list of references from , , and to record detail pages.

load references from crossref.org and opencitations.net

Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.

Citation data

Add a list of citing articles from and to record detail pages.

load citations from opencitations.net

Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.

OpenAlex data

Load additional information about publications from .

load data from openalex.org

Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.

dblp was originally created in 1993 at:

since 2018, dblp has been operated and maintained by: