CLUSTER C

72 papers

YearTitle / Authors
2020A Hybrid MPI+PGAS Approach to Improve Strong Scalability Limits of Finite Element Solvers.
Niclas Jansson
2020A Study of Operational Impact on Power Usage Effectiveness using Facility Metrics and Server Operation Logs in the K Computer.
Masaaki Terai, Fumiyoshi Shoji, Toshiyuki Tsukamoto, Yukihiro Yamochi
2020A Supercomputing Center Experience With Cooling Control Design.
Michael Kercher, Gary New
2020An FPGA-based Sound Field Rendering System.
Yiyu Tan, Toshiyuki Imamura
2020An HPC-based Prediction on the Practicality of Long-distance Quantum Key Distributions.
Hoon Ryu, Ji Hoon Kang
2020Analysis of Cooling Water Temperature Impact on Computing Performance and Energy Consumption.
Jorji Nonaka, Toshihiro Hanawa, Fumiyoshi Shoji
2020Autoscaling High-Throughput Workloads on Container Orchestrators.
Chao Zheng, Nathaniel Kremer-Herman, Tim Shaffer, Douglas Thain
2020ChOWDER: A New Approach for Viewing 3D Web GIS on Ultra-High-Resolution Scalable Display.
Tomohiro Kawanabe, Kazuma Hatta, Kenji Ono
2020Co-scheML: Interference-aware Container Co-scheduling Scheme Using Machine Learning Application Profiles for GPU Clusters.
Sejin Kim, Yoonhee Kim
2020CoreNEURON: Performance and Energy Efficiency Evaluation on Intel and Arm CPUs.
Joel Criado, Marta Garcia-Gasulla, Pramod S. Kumbhar, Omar Awile, Ioannis Magkanaris, Filippo Mantovani
2020CuVPP: Filter-based Longest Prefix Matching in Software Data Planes.
Minseok Kwon, Krishna Prasad Neupane, John Marshall, M. Mustafa Rafique
2020Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning.
Wei Rang, Donglin Yang, Dazhao Cheng, Kun Suo, Wei Chen
2020Decomposing MPI Collectives for Exploiting Multi-lane Communication.
Jesper Larsson Träff, Sascha Hunold
2020DeepClone: Lightweight State Replication of Deep Learning Models for Data Parallel Training.
Bogdan Nicolae, Justin M. Wozniak, Matthieu Dorier, Franck Cappello
2020DelveFS - An Event-Driven Semantic File System for Object Stores.
Marc-André Vef, Rebecca Steiner, Reza Salkhordeh, Jörg Steinkamp, Florent Vennetier, Jean-François Smigielski, André Brinkmann
2020Democratizing Parallel Filesystem Monitoring.
Richard Todd Evans
2020Dynamic Kernel Fusion for Bulk Non-contiguous Data Transfer on GPU Clusters.
Ching-Hsiang Chu, Kawthar Shafie Khorassani, Qinghua Zhou, Hari Subramoni, Dhabaleswar K. Panda
2020E2Clab: Exploring the Computing Continuum through Repeatable, Replicable and Reproducible Edge-to-Cloud Experiments.
Daniel Rosendo, Pedro Silva, Matthieu Simonin, Alexandru Costan, Gabriel Antoniu
2020ECS2: A Fast Erasure Coding Library for GPU-Accelerated Storage Systems with Parallel & Direct IO.
ChanJung Chang, Jerry Chou, Yu-Ching Chou, I-Hsin Chung
2020Efficient Execution of Dynamic Programming Algorithms on Apache Spark.
Mohammad Mahdi Javanmard, Zafar Ahmad, Jaroslaw Zola, Louis-Noël Pouchet, Rezaul Chowdhury, Robert J. Harrison
2020Efficient Process-to-Node Mapping Algorithms for Stencil Computations.
Konrad von Kirchbach, Markus Lehr, Sascha Hunold, Christian Schulz, Jesper Larsson Träff
2020Energy Optimization and Analysis with EAR.
Julita Corbalán, Lluis Alonso, Jordi Aneas, Luigi Brochard
2020Estimating Power Consumption of Containers and Virtual Machines in Data Centers.
Xusheng Zhang, Ziyu Shen, Bin Xia, Zheng Liu, Yun Li
2020Evaluating Worksharing Tasks on Distributed Environments.
Marcos Maroñas, Xavier Teruel, J. Mark Bull, Eduard Ayguadé, Vicenç Beltran
2020Evaluation of Power Management Control on the Supercomputer Fugaku.
Yuetsu Kodama, Tetsuya Odajima, Eishi Arima, Mitsuhisa Sato
2020Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures.
Jie Ren, Kai Wu, Dong Li
2020Exploring the Potential of Fast Delta Encoding: Marching to a Higher Compression Ratio.
Haoliang Tan, Zhiyuan Zhang, Xiangyu Zou, Qing Liao, Wen Xia
2020Extending High-Level Synthesis with High-Performance Computing Performance Visualization.
Jens Huthmann, Artur Podobas, Lukas Sommer, Andreas Koch, Kentaro Sano
2020Fast Scalable Approximate Nearest Neighbor Search for High-dimensional Data.
K. G. Renga Bashyam, Sathish Vadhiyar
2020Flexible Data Redistribution in a Task-Based Runtime System.
Qinglei Cao, George Bosilca, Wei Wu, Dong Zhong, Aurelien Bouteiller, Jack J. Dongarra
2020Global Experiences with HPC Operational Data Measurement, Collection and Analysis.
Michael Ott, Woong Shin, Norman Bourassa, Torsten Wilde, Stefan Ceballos, Melissa Romanus, Natalie J. Bates
2020Grade10: A Framework for Performance Characterization of Distributed Graph Processing.
Tim Hegeman, Animesh Trivedi, Alexandru Iosup
2020HAN: a Hierarchical AutotuNed Collective Communication Framework.
Xi Luo, Wei Wu, George Bosilca, Yu Pei, Qinglei Cao, Thananon Patinyasakdikul, Dong Zhong, Jack J. Dongarra
2020HCL: Distributing Parallel Data Structures in Extreme Scales.
Hariharan Devarajan, Anthony Kougkas, Keith Bateman, Xian-He Sun
2020HPC System Data Pipeline to Enable Meaningful Insights through Analysis-Driven Visualizations.
Benjamin Schwaller, Nick Tucker, Tom Tucker, Benjamin A. Allan, Jim M. Brandt
2020HUD-Oden: A Practical Evaluation Environment for Analyzing Hot-Water Cooled Processors.
Jorji Nonaka, Fumiyoshi Shoji
2020IEEE International Conference on Cluster Computing, CLUSTER 2020, Kobe, Japan, September 14-17, 2020
2020Implementing a Comprehensive Networks-on-Chip Generator with Optimal Configurations.
Hao Zhang, Itta Ohmura, Makoto Taiji
2020Investigating Applications on the A64FX.
Adrian Jackson, Michèle Weiland, Nick Brown, Andrew Turner, Mark Parsons
2020Investigative Report on Electrical Commissioning in HPC Data Centers.
Joseph F. Prisco, Grant L. Stewart, Herbert Huber, Randy Rannow, Jason Hick, Dave Martinez, Brandon Hong, Aditya M. Deshpande
2020LDMS Monitoring of EDR InfiniBand Networks.
Benjamin A. Allan, Michael J. Aguilar, Benjamin Schwaller, Steven Langer
2020MAP: A Visual Analytics System for Job Monitoring and Analysis.
Ashish Pal, Preeti Malakar
2020Modeling the Performance of Scientific Workflow Executions on HPC Platforms with Burst Buffers.
Loïc Pottier, Rafael Ferreira da Silva, Henri Casanova, Ewa Deelman
2020MonSTer: An Out-of-the-Box Monitoring Tool for High Performance Computing Systems.
Jie Li, Ghazanfar Ali, Ngan V. T. Nguyen, Jon R. Hass, Alan Sill, Tommy Dang, Yang Chen
2020NeoMPX: Characterizing and Improving Estimation of Multiplexing Hardware Counters for PAPI.
Yichao Wang, Jie Wang, Jin-Kun Chen, Sicheng Zuo, Xiaoming Su, James Lin
2020OctCNN: An Energy-Efficient FPGA Accelerator for CNNs using Octave Convolution Algorithm.
Wenqi Lou, Chao Wang, Lei Gong, Xuehai Zhou
2020On the Usage of the Arm C Language Extensions for a High-Order Finite-Element Kernel.
Sylvain Jubertie, Guillaume Quintin, Fabrice Dupros
2020Opportunities and limitations of Quality-of-Service in Message Passing applications on adaptively routed Dragonfly and Fat Tree networks.
Jeremiah J. Wilke, Joseph P. Kenny
2020Optimizing GPU Memory Transactions for Convolution Operations.
Gangzhao Lu, Weizhe Zhang, Zheng Wang
2020PIKA: Center-Wide and Job-Aware Cluster Monitoring.
Robert Dietrich, Frank Winkler, Andreas Knüpfer, Wolfgang E. Nagel
2020Parallel Particle Advection Bake-Off for Scientific Visualization Workloads.
Roba Binyahib, David Pugmire, Abhishek Yenpure, Hank Childs
2020Performance Evaluation of ParalleX Execution model on Arm-based Platforms.
Nikunj Gupta, Rohit Ashiwal, Bine Brank, Sateesh K. Peddoju, Dirk Pleiter
2020Performance Evaluation of Supercomputer Fugaku using Breadth-First Search Benchmark in Graph500.
Masahiro Nakao, Koji Ueno, Katsuki Fujisawa, Yuetsu Kodama, Mitsuhisa Sato
2020Porting Applications to Arm-based Processors.
Bine Brank, Stepan Nassyr, Fatemeh Pouyan, Dirk Pleiter
2020Power Budgeting of Big Data Applications in Container-based Clusters.
Jonatan Enes, Guillaume Fieni, Roberto R. Expósito, Romain Rouvoy, Juan Touriño
2020Predicting MPI Collective Communication Performance Using Machine Learning.
Sascha Hunold, Abhinav Bhatele, George Bosilca, Peter Knees
2020Preliminary Performance Evaluation of the Fujitsu A64FX Using HPC Applications.
Tetsuya Odajima, Yuetsu Kodama, Miwako Tsuji, Motohiko Matsuda, Yutaka Maruyama, Mitsuhisa Sato
2020Prompt Report on Exa-Scale HPL-AI Benchmark.
Shuhei Kudo, Keigo Nitadori, Takuya Ina, Toshiyuki Imamura
2020Quantifying the impact of network congestion on application performance and network metrics.
Yijia Zhang, Taylor L. Groves, Brandon Cook, Nicholas J. Wright, Ayse K. Coskun
2020Resilient Scheduling of Moldable Jobs on Failure-Prone Platforms.
Anne Benoit, Valentin Le Fèvre, Lucas Perotin, Padma Raghavan, Yves Robert, Hongyang Sun
2020SSP: Speeding up Small Flows for Proactive Transport in Datacenters.
Yang Bai, Dezun Dong, Shan Huang, Zejia Zhou, Xiangke Liao
2020Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows.
Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar
2020Streaming File Transfer Optimization for Distributed Science Workflows.
Davut Ucar, Engin Arslan
2020System-Level vs. Application-Level Checkpointing.
Jonas Posner
2020The Case for Better Integrating Scalable Data Stores and Stream-Processing Systems.
Antonis Papaioannou, Chrysostomos Zeginis, Kostas Magoutis
2020The Effects of Wide Vector Operations on Processor Caches.
Andrei Poenaru, Simon McIntosh-Smith
2020Toward OpenACC-enabled GPU-FPGA Accelerated Computing.
Norihisa Fujita, Ryohei Kobayashi, Yoshiki Yamaguchi, Kohji Yoshikawa, Makito Abe, Masayuki Umemura
2020Toward an End-to-End Auto-tuning Framework in HPC PowerStack.
Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie Taylor, Sridutt Bhalachandra
2020Towards Data-Flow Parallelization for Adaptive Mesh Refinement Applications.
Kevin Sala, Alejandro Rico, Vicenç Beltran
2020Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression.
Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2020Towards workload-adaptive scheduling for HPC clusters.
Alexander V. Goponenko, Ramin Izadpanah, Jim M. Brandt, Damian Dechev
2020tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads.
Steven Wei Der Chien, Artur Podobas, Ivy Bo Peng, Stefano Markidis