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Publication search results
found 1,926 matches
- 2023
- Seoyoung An, Georgia Channing, Catherine D. Schuman, Michela Taufer:
VINARCH: A Visual Analytics Interactive Tool for Neural Network Archaeology. CLUSTER Workshops 2023: 50-51 - Kevin Assogba, Eduardo Lima, M. Mustafa Rafique, Minseok Kwon:
PredictDDL: Reusable Workload Performance Prediction for Distributed Deep Learning. CLUSTER 2023: 13-24 - Debasmita Biswas, Sarah Neuwirth, Arnab K. Paul, Ali Raza Butt:
An I/O Performance Evaluation of Varying CephFS Striping Patterns. CLUSTER Workshops 2023: 25-31 - Francieli Boito, Jim M. Brandt, Valeria Cardellini, Philip H. Carns, Florina M. Ciorba, Hilary Egan, Ahmed Eleliemy, Ann C. Gentile, Thomas Gruber, Jeff Hanson, Utz-Uwe Haus, Kevin A. Huck, Thomas Ilsche, Thomas Jakobsche, Terry R. Jones, Sven Karlsson, Abdullah Mueen, Michael Ott, Tapasya Patki, Ivy Peng, Krishnan Raghavan, Stephen Simms, Kathleen Shoga, Michael T. Showerman, Devesh Tiwari, Torsten Wilde, Keiji Yamamoto:
Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations. CLUSTER Workshops 2023: 37-43 - Arnav Borkar, Joel Tony, Hari Vamsi K. N, Tushar Barman, Yash Bhisikar, Sreenath T. M., Arnab K. Paul:
Does Varying BeeGFS Configuration Affect the I/O Performance of HPC Workloads? CLUSTER Workshops 2023: 5-7 - Qinglei Cao, Sameh Abdulah, Hatem Ltaief, Marc G. Genton, David E. Keyes, George Bosilca:
Reducing Data Motion and Energy Consumption of Geospatial Modeling Applications Using Automated Precision Conversion. CLUSTER 2023: 330-342 - Melvin Chelli, Cèdric Prigent, René Schubotz, Alexandru Costan, Gabriel Antoniu, Loïc Cudennec, Philipp Slusallek:
FedGuard: Selective Parameter Aggregation for Poisoning Attack Mitigation in Federated Learning. CLUSTER 2023: 72-81 - Si Chen, Simon Garcia De Gonzalo, Avani Wildani:
Few-shot HPC application runtime prediction. CLUSTER Workshops 2023: 46-47 - Zixuan Chen, Zhigao Zhao, Zijian Li, Jiang Shao, Sen Liu, Yang Xu:
SDT: A Low-cost and Topology-reconfigurable Testbed for Network Research. CLUSTER 2023: 343-353 - Krijn Doekemeijer, Nick Tehrany, Balakrishnan Chandrasekaran, Matias Bjørling, Animesh Trivedi:
Performance Characterization of NVMe Flash Devices with Zoned Namespaces (ZNS). CLUSTER 2023: 118-131 - Arkaprabha Ganguli, Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello:
A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression. CLUSTER 2023: 247-258 - Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur:
PiP-MColl: Process-in-Process-based Multi-object MPI Collectives. CLUSTER 2023: 354-364 - Adrian Jackson, Nicolau Manubens:
DAOS as HPC Storage: Exploring Interfaces. CLUSTER Workshops 2023: 8-10 - Xingguo Jia, Xingzi Yu, Yun Wang, Senhao Yu, Zhengwei Qi:
Rethinking Virtual Machines Live Migration for Memory Disaggregation. CLUSTER 2023: 145-157 - Zheming Jin, Jeffrey S. Vetter:
Accelerating Hyperdimensional Classifier with SYCL. CLUSTER Workshops 2023: i-ii - William M. Jones, Craig G. Walker, Vivian E. Hafener, Warren D. Graham, Nathan DeBardeleben, Steven T. Senator:
Incorporating Staggered Planned Maintenance Reservations to Improve Performance in Computational Clusters. CLUSTER Workshops 2023: 32-36 - Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello:
An Efficient and Accurate Compression Ratio Estimation Model for SZx. CLUSTER Workshops 2023: 48-49 - Taehoon Kim, Kwangwon Koh, Changdae Kim, Eunji Pak, Yeonjeong Jeong, Sang-Hoon Kim:
DEHype: Retrofitting Hypervisors for a Resource-Disaggregated Environment. CLUSTER 2023: 37-48 - Olga Kogiou, Hariharan Devarajan, Chen Wang, Weikuan Yu, Kathryn M. Mohror:
I/O characterization and performance evaluation of large-scale storage architectures for heterogeneous workloads. CLUSTER Workshops 2023: 44-45 - Sohei Koyama, Kohei Hiraga, Osamu Tatebe:
Accelerating I/O in Distributed Data Processing Systems with Apache Arrow CHFS. CLUSTER Workshops 2023: 1-4 - Turja Kundu, Tong Shu:
HIOS: Hierarchical Inter-Operator Scheduler for Real-Time Inference of DAG-Structured Deep Learning Models on Multiple GPUs. CLUSTER 2023: 95-106 - Wenxuan Li, Helin Cheng, Zhengyang Lu, Yuechen Lu, Weifeng Liu:
HASpMV: Heterogeneity-Aware Sparse Matrix-Vector Multiplication on Modern Asymmetric Multicore Processors. CLUSTER 2023: 209-220 - Hongliang Li, Hairui Zhao, Zhewen Xu, Xiang Li, Haixiao Xu:
ExplSched: Maximizing Deep Learning Cluster Efficiency for Exploratory Jobs. CLUSTER 2023: 173-184 - Radita Liem, Sebastian Oeste, Jay F. Lofstead, Julian Kunkel:
Mango-IO: I/O Metrics Consistency Analysis. CLUSTER Workshops 2023: 18-24 - Wenhai Lin, Jingchang Qin, Yiquan Chen, Zhen Jin, Jiexiong Xu, Yuzhong Zhang, Shishun Cai, Lirong Fu, Yi Chen, Wenzhi Chen:
JACO: JAva Code Layout Optimizer Enabling Continuous Optimization without Pausing Application Services. CLUSTER 2023: 295-306 - Zhangyu Liu, Cheng Zhang, Huijun Wu, Jianbin Fang, Lin Peng, Guixin Ye, Zhanyong Tang:
Optimizing HPC I/O Performance with Regression Analysis and Ensemble Learning. CLUSTER 2023: 234-246 - Hengquan Mei, Huaizhi Qu, Jingwei Sun, Yanjie Gao, Haoxiang Lin, Guangzhong Sun:
GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network. CLUSTER 2023: 318-329 - George Michelogiannakis, Yehia Arafa, Brandon Cook, Liang Yuan Dai, Abdel-Hameed A. Badawy, Madeleine Glick, Yuyang Wang, Keren Bergman, John Shalf:
Efficient Intra-Rack Resource Disaggregation for HPC Using Co-Packaged DWDM Photonics. CLUSTER 2023: 158-172 - Daniel Mishler, Jan Ciesko, Stephen Olivier, George Bosilca:
Performance Insights into Device-initiated RMA Using Kokkos Remote Spaces. CLUSTER Workshops 2023: 66-67 - Inhyuk Park, Qing Zheng, Dominic Manno, Soonyeal Yang, Jason Lee, David Bonnie, Bradley W. Settlemyer, Youngjae Kim, Woosuk Chung, Gary Grider:
KV-CSD: A Hardware-Accelerated Key-Value Store for Data-Intensive Applications. CLUSTER 2023: 132-144
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