| 2019 | 2019 IEEE International Conference on Cluster Computing, CLUSTER 2019, Albuquerque, NM, USA, September 23-26, 2019 |
| 2019 | A Quantitative Study of Deep Learning Training on Heterogeneous Supercomputers. Jingoo Han, Luna Xu, M. Mustafa Rafique, Ali Raza Butt, Seung-Hwan Lim |
| 2019 | Accelerating Hyperdimensional Classifier on Multiple GPUs. Zheming Jin, Hal Finkel |
| 2019 | Algorithm-Based Fault Tolerance for Parallel Stencil Computations. Aurélien Cavelan, Florina M. Ciorba |
| 2019 | An Empirical Study of Cryptographic Libraries for MPI Communications. Abu Naser, Mohsen Gavahi, Cong Wu, Viet Tung Hoang, Zhi Wang, Xin Yuan |
| 2019 | Analyzing the Impact of Lossy Compressor Variability on Checkpointing Scientific Simulations. Pavlo Triantafyllides, Tasmia Reza, Jon C. Calhoun |
| 2019 | Asynchronous Task-Based Execution of the Reverse Time Migration for the Oil and Gas Industry. Amani AlOnazi, Hatem Ltaief, David E. Keyes, Issam Said, Samuel Thibault |
| 2019 | Automatic Power Saving Method by Energy Aware Job Scheduler. Hiroaki Imade, Takahiro Kagami, Tomohiro Otawa, Kouichi Hirai, Yoshio Sakaguchi, Naoyuki Fujita |
| 2019 | Building Reliable High-Performance Storage Systems: An Empirical and Analytical Study. Zhi Qiao, Song Fu, Hsing-bung Chen, Bradley W. Settlemyer |
| 2019 | ClusterCockpit - A web application for job-specific performance monitoring. Jan Eitzinger, Thomas Gruber, Ayesha Afzal, Thomas Zeiser, Gerhard Wellein |
| 2019 | Compact Filters for Fast Online Data Partitioning. Qing Zheng, Charles D. Cranor, Ankush Jain, Gregory R. Ganger, Garth A. Gibson, George Amvrosiadis, Bradley W. Settlemyer, Gary Grider |
| 2019 | Cost-efficiency of Large-scale Electronic Structure Simulations with Intel Xeon Phi Processors. Hoon Ryu, Seungmin Lee |
| 2019 | DP_Greedy: A Two-Phase Caching Algorithm for Mobile Cloud Services. Dong Huang, Xiaopeng Fan, Yang Wang, Shuibing He, Cheng-Zhong Xu |
| 2019 | Design Exploration of Multi-FPGAs for Accelerating Deep Learning. Teng Wang, Lei Gong, Chao Wang, Xuehai Zhou, Huaping Chen |
| 2019 | Diagnostic Analysis: Directional Relation Graph. Sandy Kaur, Eun Kyung Lee |
| 2019 | DiffTrace: Efficient Whole-Program Trace Analysis and Diffing for Debugging. Saeed Taheri, Ian Briggs, Martin Burtscher, Ganesh Gopalakrishnan |
| 2019 | Efficient Distributed Graph Analytics using Triply Compressed Sparse Format. Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Muhammad Yousuf Ahmad, Mohammad Hammoud |
| 2019 | Efficient User-Level Storage Disaggregation for Deep Learning. Yue Zhu, Weikuan Yu, Bing Jiao, Kathryn M. Mohror, Adam Moody, Fahim Chowdhury |
| 2019 | Engineering a Distributed Histogram Sort. Roger Kowalewski, Pascal Jungblut, Karl Fürlinger |
| 2019 | Evaluating Burst Buffer Placement in HPC Systems. Harsh Khetawat, Christopher Zimmer, Frank Mueller, Scott Atchley, Sudharshan S. Vazhkudai, Misbah Mubarak |
| 2019 | FSMonitor: Scalable File System Monitoring for Arbitrary Storage Systems. Arnab Kumar Paul, Ryan Chard, Kyle Chard, Steven Tuecke, Ali Raza Butt, Ian T. Foster |
| 2019 | Fast and Faithful Performance Prediction of MPI Applications: the HPL Case Study. Tom Cornebize, Arnaud Legrand, Franz C. Heinrich |
| 2019 | Fast and Scalable Implementations of Influence Maximization Algorithms. Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Arun V. Sathanur, Ryan S. McClure, Jason E. McDermott |
| 2019 | FluentPS: A Parameter Server Design with Low-frequency Synchronization for Distributed Deep Learning. Xin Yao, Xueyu Wu, Cho-Li Wang |
| 2019 | Give MPI Threading a Fair Chance: A Study of Multithreaded MPI Designs. Thananon Patinyasakdikul, David Eberius, George Bosilca, Nathan T. Hjelm |
| 2019 | Harmony: An Approach for Geo-distributed Processing of Big-Data Applications. Han Zhang, Lavanya Ramapantulu, Yong Meng Teo |
| 2019 | HarpGBDT: Optimizing Gradient Boosting Decision Tree for Parallel Efficiency. Bo Peng, Judy Qiu, Langshi Chen, Jiayu Li, Miao Jiang, Selahattin Akkas, Egor Smirnov, Ruslan Israfilov, Sergey Khekhnev, Andrey Nikolaev |
| 2019 | Improving Access to HDFS using NVMeoF. Daegyu Han, Beomseok Nam |
| 2019 | Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation. Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Bogdan Nicolae, Zizhong Chen, Franck Cappello |
| 2019 | Improving Resource Utilization in Data Centers using an LSTM-based Prediction Model. Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi, Hajimu Iida, Chawanat Nakasan |
| 2019 | Kube-Knots: Resource Harvesting through Dynamic Container Orchestration in GPU-based Datacenters. Prashanth Thinakaran, Jashwant Raj Gunasekaran, Bikash Sharma, Mahmut Taylan Kandemir, Chita R. Das |
| 2019 | Large-Scale Analysis of the Docker Hub Dataset. Nannan Zhao, Vasily Tarasov, Hadeel Albahar, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Amit S. Warke, Mohamed Mohamed, Ali Raza Butt |
| 2019 | Learning from Five-year Resource-Utilization Data of Titan System. Feiyi Wang, Sarp Oral, Satyabrata Sen, Neena Imam |
| 2019 | Leveraging Machine Learning for Anticipatory Data Delivery in Extreme Scale In-situ Workflows. Pradeep Subedi, Philip E. Davis, Manish Parashar |
| 2019 | Leveraging Task-Based Polar Decomposition Using PARSEC on Massively Parallel Systems. Dalal Sukkari, Hatem Ltaief, David E. Keyes, Mathieu Faverge |
| 2019 | LogGOPSC: A Parallel Computation Model Extending Network Contention into LogGOPS. Baicheng Yan, Yi Zhou, Limin Xiao, Jiantong Huo, Zhaokai Wang |
| 2019 | MBECN: Enabling ECN with Micro-burst Traffic in Multi-queue Data Center. Kexi Kang, Jinghui Zhang, Jiahui Jin, Dian Shen, Junzhou Luo, Wenxin Li, Zhiang Wu |
| 2019 | MPI Sessions: Evaluation of an Implementation in Open MPI. Nathan T. Hjelm, Howard Pritchard, Samuel K. Gutiérrez, Daniel J. Holmes, Ralph Castain, Anthony Skjellum |
| 2019 | Mitigating Inter-Job Interference via Process-Level Quality-of-Service. Lee Savoie, David K. Lowenthal, Bronis R. de Supinski, Kathryn M. Mohror, Nikhil Jain |
| 2019 | Multi-physics simulations of particle tracking in arterial geometries with a scalable moving window algorithm. Gregory Herschlag, John Gounley, Sayan Roychowdhury, Erik W. Draeger, Amanda Randles |
| 2019 | NORNS: Extending Slurm to Support Data-Driven Workflows through Asynchronous Data Staging. Alberto Miranda, Adrian Jackson, Tommaso Tocci, Iakovos Panourgias, Ramon Nou |
| 2019 | On the Benefits of Anticipating Load Imbalance for Performance Optimization of Parallel Applications. Anthony Boulmier, Franck Raynaud, Nabil Abdennadher, Bastien Chopard |
| 2019 | Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. Sam Ade Jacobs, Jim Gaffney, Tom Benson, Peter B. Robinson, J. Luc Peterson, Brian K. Spears, Brian Van Essen, David Hysom, Jae-Seung Yeom, Tim Moon, Rushil Anirudh, Jayaraman J. Thiagarajan, Shusen Liu, Peer-Timo Bremer |
| 2019 | Performance Characterization of DNN Training using TensorFlow and PyTorch on Modern Clusters. Arpan Jain, Ammar Ahmad Awan, Quentin Anthony, Hari Subramoni, Dhabaleswar K. Panda |
| 2019 | Propagation and Decay of Injected One-Off Delays on Clusters: A Case Study. Ayesha Afzal, Georg Hager, Gerhard Wellein |
| 2019 | Proxy or Imposter? A Method and Case Study to Determine the Answer. Omar Aaziz, Jeanine E. Cook, Courtenay Vaughan, David Richards |
| 2019 | Quantifying the Impact of Memory Errors in Deep Learning. Zhao Zhang, Lei Huang, Ruizhu Huang, Weijia Xu, Daniel S. Katz |
| 2019 | RE-Store: Reliable and Efficient KV-Store with Erasure Coding and Replication. Yuzhe Li, Jiang Zhou, Weiping Wang, Yong Chen |
| 2019 | Rapidly Measuring Loop Footprints. Ozgur O. Kilic, Nathan R. Tallent, Ryan D. Friese |
| 2019 | SMQoS: Improving Utilization and Energy Efficiency with QoS Awareness on GPUs. Qingxiao Sun, Yi Liu, Hailong Yang, Zhongzhi Luan, Depei Qian |
| 2019 | STASH : Fast Hierarchical Aggregation Queries for Effective Visual Spatiotemporal Explorations. Saptashwa Mitra, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara |
| 2019 | Scalable, High-Order Continuity Across Block Boundaries of Functional Approximations Computed in Parallel. Iulian R. Grindeanu, Tom Peterka, Vijay S. Mahadevan, Youssef S. G. Nashed |
| 2019 | Scheduling independent stochastic tasks on heterogeneous cloud platforms. Yiqin Gao, Louis-Claude Canon, Yves Robert, Frédéric Vivien |
| 2019 | Standardized Environment for Monitoring Heterogeneous Architectures. Connor Brown, Benjamin Schwaller, Nathan Gauntt, Benjamin A. Allan, Kevin Davis |
| 2019 | Training Google Neural Machine Translation on an Intel CPU Cluster. Dhiraj D. Kalamkar, Kunal Banerjee, Sudarshan Srinivasan, Srinivas Sridharan, Evangelos Georganas, Mikhail E. Smorkalov, Cong Xu, Alexander Heinecke |
| 2019 | Workflows for Performance Predictable and Reproducible HPC Applications. Keira Haskins, Quincy Wofford, Patrick G. Bridges |
| 2019 | X-RDMA: Effective RDMA Middleware in Large-scale Production Environments. Teng Ma, Tao Ma, Zhuo Song, Jingxuan Li, Huaixin Chang, Kang Chen, Hai Jiang, Yongwei Wu |
| 2019 | mSMS: PGAS Runtime with Efficient Thread-based Communication for Global-view Programming. Hiroko Midorikawa, Kenji Kitagawa, Yugo Sakaguchi |
| 2019 | μDBSCAN: An Exact Scalable DBSCAN Algorithm for Big Data Exploiting Spatial Locality. Aditya Sarma, Poonam Goyal, Sonal Kumari, Anand Wani, Jagat Sesh Challa, Saiyedul Islam, Navneet Goyal |