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Publication search results
found 32 matches
- 2023
- Kevin Assogba, Eduardo Lima, M. Mustafa Rafique, Minseok Kwon:
PredictDDL: Reusable Workload Performance Prediction for Distributed Deep Learning. CLUSTER 2023: 13-24 - 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 - 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 - Xingguo Jia, Xingzi Yu, Yun Wang, Senhao Yu, Zhengwei Qi:
Rethinking Virtual Machines Live Migration for Memory Disaggregation. CLUSTER 2023: 145-157 - 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 - 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 - 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 - 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 - Daniel Rosendo, Marta Mattoso, Alexandru Costan, Renan Souza, Débora B. Pina, Patrick Valduriez, Gabriel Antoniu:
ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum. CLUSTER 2023: 221-233 - Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz:
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach. CLUSTER 2023: 185-196 - Yihao Sun, Sidharth Kumar, Thomas Gilray, Kristopher K. Micinski:
Communication-Avoiding Recursive Aggregation. CLUSTER 2023: 197-208 - Olamide Timothy Tawose, Lei Yang, Dongfang Zhao:
TopoCommit: A Topological Commit Protocol for Cross-Ledger Transactions in Scientific Computing. CLUSTER 2023: 365-375 - Yiltan Hassan Temuçin, Scott Levy, Whit Schonbein, Ryan E. Grant, Ahmad Afsahi:
A Dynamic Network-Native MPI Partitioned Aggregation Over InfiniBand Verbs. CLUSTER 2023: 259-270 - Jesper Larsson Träff, Sascha Hunold, Ioannis Vardas, Nikolaus Manes Funk:
Uniform Algorithms for Reduce-scatter and (most) other Collectives for MPI. CLUSTER 2023: 284-294 - Sahil Tyagi, Martin Swany:
Accelerating Distributed ML Training via Selective Synchronization. CLUSTER 2023: 1-12 - Wei Wang, Zhiquan Lai, Shengwei Li, Weijie Liu, Keshi Ge, Yujie Liu, Ao Shen, Dongsheng Li:
Prophet: Fine-grained Load Balancing for Parallel Training of Large-scale MoE Models. CLUSTER 2023: 82-94 - Xinying Wang, Lipeng Wan, Scott Klasky, Dongfang Zhao, Feng Yan:
SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments. CLUSTER 2023: 49-59 - Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-Chun Feng:
Exact Distributed Stochastic Block Partitioning. CLUSTER 2023: 25-36 - Michael Wilkins, Hanming Wang, Peizhi Liu, Bangyen Pham, Yanfei Guo, Rajeev Thakur, Peter A. Dinda, Nikos Hardavellas:
Generalized Collective Algorithms for the Exascale Era. CLUSTER 2023: 60-71 - Zhenyu Xu, Miaoxiang Yu, Jillian Cai, Qing Yang, Tao Wei:
A Finite-Difference Time-Domain (FDTD) solver with linearly scalable performance in an FPGA cluster. CLUSTER 2023: 307-317 - Yiwen Zhang, Guokuan Li, Jiguang Wan, Junyue Wang, Jun Li, Ting Yao, Huatao Wu, Daohui Wang:
DoW-KV: A DPU-offloaded and Write-optimized Key-Value Store on Disaggregated Persistent Memory. CLUSTER 2023: 271-283
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