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21st CLUSTER 2019: Albuquerque, NM, USA
- 2019 IEEE International Conference on Cluster Computing, CLUSTER 2019, Albuquerque, NM, USA, September 23-26, 2019. IEEE 2019, ISBN 978-1-7281-4734-5
- Zhao Zhang, Lei Huang, Ruizhu Huang, Weijia Xu, Daniel S. Katz
:
Quantifying the Impact of Memory Errors in Deep Learning. 1-12 - Bo Peng, Judy Qiu, Langshi Chen, Jiayu Li, Miao Jiang, Selahattin Akkas, Egor Smirnov, Ruslan Israfilov, Sergey Khekhnev, Andrey Nikolaev:
HarpGBDT: Optimizing Gradient Boosting Decision Tree for Parallel Efficiency. 1-11 - Marco Minutoli
Fast and Scalable Implementations of Influence Maximization Algorithms. 1-12 - Qing Zheng
Compact Filters for Fast Online Data Partitioning. 1-12 - Jingoo Han, Luna Xu, M. Mustafa Rafique, Ali Raza Butt
A Quantitative Study of Deep Learning Training on Heterogeneous Supercomputers. 1-12 - Ayesha Afzal
Propagation and Decay of Injected One-Off Delays on Clusters: A Case Study. 1-10 - Daegyu Han, Beomseok Nam:
Improving Access to HDFS using NVMeoF. 1-2 - Connor Brown, Benjamin Schwaller, Nathan Gauntt, Benjamin A. Allan, Kevin Davis:
Standardized Environment for Monitoring Heterogeneous Architectures. 1-5 - Anthony Boulmier, Franck Raynaud, Nabil Abdennadher, Bastien Chopard:
On the Benefits of Anticipating Load Imbalance for Performance Optimization of Parallel Applications. 1-9 - Kexi Kang, Jinghui Zhang, Jiahui Jin, Dian Shen, Junzhou Luo, Wenxin Li, Zhiang Wu:
MBECN: Enabling ECN with Micro-burst Traffic in Multi-queue Data Center. 1-12 - Nannan Zhao, Vasily Tarasov, Hadeel Albahar
Large-Scale Analysis of the Docker Hub Dataset. 1-10 - Feiyi Wang
Learning from Five-year Resource-Utilization Data of Titan System. 1-6 - Nathan T. Hjelm, Howard Pritchard, Samuel K. Gutiérrez
MPI Sessions: Evaluation of an Implementation in Open MPI. 1-11 - Pradeep Subedi, Philip E. Davis, Manish Parashar:
Leveraging Machine Learning for Anticipatory Data Delivery in Extreme Scale In-situ Workflows. 1-11 - Teng Ma
X-RDMA: Effective RDMA Middleware in Large-scale Production Environments. 1-12 - Roger Kowalewski, Pascal Jungblut, Karl Fürlinger:
Engineering a Distributed Histogram Sort. 1-11 - Zhi Qiao
Building Reliable High-Performance Storage Systems: An Empirical and Analytical Study. 1-10 - Lee Savoie, David K. Lowenthal
Mitigating Inter-Job Interference via Process-Level Quality-of-Service. 1-5 - Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Muhammad Yousuf Ahmad, Mohammad Hammoud:
Efficient Distributed Graph Analytics using Triply Compressed Sparse Format. 1-11 - Hiroko Midorikawa, Kenji Kitagawa, Yugo Sakaguchi:
mSMS: PGAS Runtime with Efficient Thread-based Communication for Global-view Programming. 1-2 - Hiroaki Imade, Takahiro Kagami, Tomohiro Otawa, Kouichi Hirai, Yoshio Sakaguchi, Naoyuki Fujita:
Automatic Power Saving Method by Energy Aware Job Scheduler. 1-2 - Tom Cornebize, Arnaud Legrand, Franz C. Heinrich:
Fast and Faithful Performance Prediction of MPI Applications: the HPL Case Study. 1-11 - Sam Ade Jacobs, Jim Gaffney
Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. 1-10 - Yuzhe Li
RE-Store: Reliable and Efficient KV-Store with Erasure Coding and Replication. 1-12 - Alberto Miranda, Adrian Jackson, Tommaso Tocci, Iakovos Panourgias, Ramon Nou
NORNS: Extending Slurm to Support Data-Driven Workflows through Asynchronous Data Staging. 1-12 - Thananon Patinyasakdikul, David Eberius, George Bosilca, Nathan T. Hjelm:
Give MPI Threading a Fair Chance: A Study of Multithreaded MPI Designs. 1-11 - Jan Eitzinger, Thomas Gruber, Ayesha Afzal
ClusterCockpit - A web application for job-specific performance monitoring. 1-7 - Iulian R. Grindeanu, Tom Peterka, Vijay S. Mahadevan, Youssef S. G. Nashed:
Scalable, High-Order Continuity Across Block Boundaries of Functional Approximations Computed in Parallel. 1-9 - Dhiraj D. Kalamkar, Kunal Banerjee, Sudarshan Srinivasan, Srinivas Sridharan, Evangelos Georganas, Mikhail E. Smorkalov
Training Google Neural Machine Translation on an Intel CPU Cluster. 1-10 - Aditya Sarma, Poonam Goyal, Sonal Kumari, Anand Wani, Jagat Sesh Challa, Saiyedul Islam, Navneet Goyal:
μDBSCAN: An Exact Scalable DBSCAN Algorithm for Big Data Exploiting Spatial Locality. 1-11 - Kundjanasith Thonglek
Improving Resource Utilization in Data Centers using an LSTM-based Prediction Model. 1-8 - Yue Zhu, Weikuan Yu
Efficient User-Level Storage Disaggregation for Deep Learning. 1-12 - Dalal Sukkari
Leveraging Task-Based Polar Decomposition Using PARSEC on Massively Parallel Systems. 1-12 - Ozgur O. Kilic
Rapidly Measuring Loop Footprints. 1-9 - Saeed Taheri, Ian Briggs, Martin Burtscher, Ganesh Gopalakrishnan:
DiffTrace: Efficient Whole-Program Trace Analysis and Diffing for Debugging. 1-12 - Saptashwa Mitra, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara:
STASH : Fast Hierarchical Aggregation Queries for Effective Visual Spatiotemporal Explorations. 1-11 - Dong Huang, Xiaopeng Fan, Yang Wang, Shuibing He, Cheng-Zhong Xu
DP_Greedy: A Two-Phase Caching Algorithm for Mobile Cloud Services. 1-10 - Sandy Kaur, Eun Kyung Lee:
Diagnostic Analysis: Directional Relation Graph. 1-5 - Abu Naser, Mohsen Gavahi, Cong Wu, Viet Tung Hoang, Zhi Wang, Xin Yuan:
An Empirical Study of Cryptographic Libraries for MPI Communications. 1-11 - Aurélien Cavelan, Florina M. Ciorba
Algorithm-Based Fault Tolerance for Parallel Stencil Computations. 1-11 - Baicheng Yan, Yi Zhou, Limin Xiao, Jiantong Huo, Zhaokai Wang:
LogGOPSC: A Parallel Computation Model Extending Network Contention into LogGOPS. 1-2 - Xin Liang, Sheng Di, Dingwen Tao
Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation. 1-11 - Xin Yao, Xueyu Wu, Cho-Li Wang:
FluentPS: A Parameter Server Design with Low-frequency Synchronization for Distributed Deep Learning. 1-12 - Zheming Jin, Hal Finkel:
Accelerating Hyperdimensional Classifier on Multiple GPUs. 1-2 - Prashanth Thinakaran
Kube-Knots: Resource Harvesting through Dynamic Container Orchestration in GPU-based Datacenters. 1-13 - Gregory Herschlag
Multi-physics simulations of particle tracking in arterial geometries with a scalable moving window algorithm. 1-11 - Arpan Jain, Ammar Ahmad Awan, Quentin Anthony, Hari Subramoni, Dhabaleswar K. Panda:
Performance Characterization of DNN Training using TensorFlow and PyTorch on Modern Clusters. 1-11 - Keira Haskins, Quincy Wofford
Workflows for Performance Predictable and Reproducible HPC Applications. 1-2 - Teng Wang, Lei Gong, Chao Wang, Xuehai Zhou, Huaping Chen:
Design Exploration of Multi-FPGAs for Accelerating Deep Learning. 1-2 - Arnab Kumar Paul
FSMonitor: Scalable File System Monitoring for Arbitrary Storage Systems. 1-11 - Hoon Ryu, Seungmin Lee
Cost-efficiency of Large-scale Electronic Structure Simulations with Intel Xeon Phi Processors. 1-2 - Qingxiao Sun, Yi Liu, Hailong Yang, Zhongzhi Luan, Depei Qian:
SMQoS: Improving Utilization and Energy Efficiency with QoS Awareness on GPUs. 1-5 - Yiqin Gao
Scheduling independent stochastic tasks on heterogeneous cloud platforms. 1-11 - Omar Aaziz, Jeanine E. Cook, Courtenay Vaughan, David Richards:
Proxy or Imposter? A Method and Case Study to Determine the Answer. 1-9 - Harsh Khetawat, Christopher Zimmer, Frank Mueller, Scott Atchley, Sudharshan S. Vazhkudai, Misbah Mubarak:
Evaluating Burst Buffer Placement in HPC Systems. 1-11 - Pavlo Triantafyllides, Tasmia Reza, Jon C. Calhoun:
Analyzing the Impact of Lossy Compressor Variability on Checkpointing Scientific Simulations. 1-5 - Han Zhang, Lavanya Ramapantulu, Yong Meng Teo:
Harmony: An Approach for Geo-distributed Processing of Big-Data Applications. 1-11 - Amani AlOnazi, Hatem Ltaief
Asynchronous Task-Based Execution of the Reverse Time Migration for the Oil and Gas Industry. 1-11
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