CLUSTER

Publications

2023

Jesper Larsson Träff, Sascha Hunold, Ioannis Vardas, Nikolaus Manes Funk
Uniform Algorithms for Reduce-scatter and (most) other Collectives for MPI. CLUSTER (2023)
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)
Krijn Doekemeijer, Nick Tehrany, Balakrishnan Chandrasekaran, Matias Bjørling, Animesh Trivedi
Performance Characterization of NVMe Flash Devices with Zoned Namespaces (ZNS). CLUSTER (2023)
Xingguo Jia, Xingzi Yu, Yun Wang, Senhao Yu, Zhengwei Qi
Rethinking Virtual Machines Live Migration for Memory Disaggregation. CLUSTER (2023)
Turja Kundu, Tong Shu
HIOS: Hierarchical Inter-Operator Scheduler for Real-Time Inference of DAG-Structured Deep Learning Models on Multiple GPUs. CLUSTER (2023)
Olamide Timothy Tawose, Lei Yang, Dongfang Zhao
TopoCommit: A Topological Commit Protocol for Cross-Ledger Transactions in Scientific Computing. CLUSTER (2023)
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)
Sahil Tyagi, Martin Swany
Accelerating Distributed ML Training via Selective Synchronization. CLUSTER (2023)
Kevin Assogba, Eduardo Lima, M. Mustafa Rafique, Minseok Kwon
PredictDDL: Reusable Workload Performance Prediction for Distributed Deep Learning. CLUSTER (2023)
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)
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)
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)
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)
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)
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)
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)
Taehoon Kim, Kwangwon Koh, Changdae Kim, Eunji Pak, Yeonjeong Jeong, Sang-Hoon Kim
DEHype: Retrofitting Hypervisors for a Resource-Disaggregated Environment. CLUSTER (2023)
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)
Yihao Sun, Sidharth Kumar, Thomas Gilray, Kristopher K. Micinski
Communication-Avoiding Recursive Aggregation. CLUSTER (2023)
Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-Chun Feng
Exact Distributed Stochastic Block Partitioning. CLUSTER (2023)
IEEE International Conference on Cluster Computing, CLUSTER 2023, Santa Fe, NM, USA, October 31 - Nov. 3, 2023 CLUSTER (2023)
Yuzuo Zhang, Xinyuan Tu, Lin Wang, Yuchong Hu, Fang Wang, Ye Wang
FullRepair: Towards Optimal Repair Pipelining in Erasure-Coded Clustered Storage Systems. CLUSTER (2023)
Hongliang Li, Hairui Zhao, Zhewen Xu, Xiang Li, Haixiao Xu
ExplSched: Maximizing Deep Learning Cluster Efficiency for Exploratory Jobs. CLUSTER (2023)
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)
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)
Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach. CLUSTER (2023)
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)
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)
Yiltan Hassan Temuçin, Scott Levy, Whit Schonbein, Ryan E. Grant, Ahmad Afsahi
A Dynamic Network-Native MPI Partitioned Aggregation Over InfiniBand Verbs. CLUSTER (2023)
Wenxuan Li, Helin Cheng, Zhengyang Lu, Yuechen Lu, Weifeng Liu
HASpMV: Heterogeneity-Aware Sparse Matrix-Vector Multiplication on Modern Asymmetric Multicore Processors. CLUSTER (2023)
Xinying Wang, Lipeng Wan, Scott Klasky, Dongfang Zhao, Feng Yan
SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments. CLUSTER (2023)
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)

2022