IPDPS 2024 Conference

General IPDPS Info

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IPDPS 2024 Conference Posters

In the last stage of review of the paper submissions to the main conference, the program committee identified full paper submissions to be recommended for consideration as a short paper and designated here as Conference Poster-accept Papers. The 23 conference posters listed below will be available for viewing during the three days of the main conference and 2-page short papers describing the work will be published as part of the IPDPSW volume of the proceedings. They represent what might be considered preliminary works of interest to the community, and this will make their authors’ contributions available to IPDPS 2024 attendees.

Ad Coalescer: An Adaptive Coalescer to Reduce the Inter-Module Traffic in MCM-GPUs
Xu Zhang, Guangda Zhang, Lu Wang, Xia Zhao (Academy of Military Sciences, Beijing)
Accelerating Native Transaction Processing in LSM-Based Persistent Key-Value Stores
Jin Xue, Zili Shao (The Chinese University of Hong Kong)
Asynchrony and Failure Masking via Pseudo-Local Process Recovery in MPI Applications
Matthew Whitlock, Hemanth Kolla (Sandia National Laboratories); Aurelien Bouteiller (University of Tennessee Knoxville); Jackson Mayo, Nicolas Morales, Keita Teranishi (Sandia National Laboratories); George Bosilca (University of Tennessee Knoxville)
Proactive, Accuracy-aware Straggler Mitigation in Machine Learning Clusters
Suraiya Tairin, Haiying Shen (University of Virginia); Anand Iyer (Georgia Institute of Technology)
An SR-IOV SSD Optimized for Latency-Sensitive IaaS Cloud Storage
Xiang Chen (DapuStor); Ru Ying, Haocong Ma, Yao Wang, Xianjun Meng, Guangjun Xie (Baidu (China) Co., Ltd); Yonghui Zhan, Fenyong Yuan, Ying Yang, Tao Lu, Jinqiang Wang, Yunxin Huang, Yafei Yang (DapuStor); You Zhou, Fei Wu (Huazhong University of Science and Technology)
A New Exact State Reconstruction Strategy for Conjugate Gradient Methods with Arbitrary Preconditioners
Viktoria Mayer, Wilfried Gansterer (University of Vienna)
Toward Self-Adjusting k-ary Search Tree Networks
Evgeniy Feder (ITMO University); Anton Paramonov (EPFL); Pavel Mavrin (Neapolis University Pafos); Iosif Salem, Stefan Schmid (TU Berlin); Vitaly Aksenov (City, University of London)
EDDIS: Accelerating Distributed Data-Parallel DNN Training for Heterogeneous GPU Cluster
Shinyoung Ahn, Hooyoung Ahn (ETRI); Hyeonseong Choi (DeepInspection); Jaehyun Lee (VAIV Company Inc.)
Efficient Multi-Processor Scheduling in Increasingly Realistic Models
Pal Andras Papp, Georg Anegg, Aikaterini Karanasiou, Albert-Jan N. Yzelman (Huawei Zurich Research Center)
Evaluation of Programming Models and Performance for Stencil Computation on GPGPUs
Baodi Shan, Mauricio Araya-Polo (Total Energies EP Research and Technology USA, LLC)
Exploiting Tensor Cores in Sparse-Matrix Multivector Multiplication via Block-Sparsity-Aware Clustering
Eunji Lee, Yoonsang Han, Gordon Euhyun Moon (Sogang University)
Integration Framework for Online Thread Throttling with Thread and Page Mapping on NUMA Systems
Janaina Schwarzrock, Arthur F. Lorenzon (Universidade Federal do Rio Grande do Sul); Samuel xavier de Souza (Universidade Federal do Rio Grande do Norte); Antonio Carlos S. Beck (Universidade Federal do Rio Grande do Sul)
MDLoader: A Hybrid Model-driven Data Loader for Distributed Deep Neural Networks Training
Jonghyun Bae (Lawrence Berkeley National Laboratory); Jong youl Choi, Massimiliano lupo Pasini, Kshitij Mehta (Oak Ridge National Laboratory); Khaled Ibrahim (Lawrence Berkeley National Laboratory)
A Stochastic Composite Model to Understand the Impact of Rare, Colossal Interference in HPC Systems
Muna Tageldin (Marquette University); Majeed Hayat (Marquette Universiy); Patrick Bridges (Universiy of New Mexico); Jered Dominguez-Trujillo (Los Alamos National Laboratory)
A Deep Dive into Task-Based Parallelism in Python
William Ruys, Hochan Lee, Bozhi You, Shreya Talati, Jaeyoung Park, James Almgren-Bell, Yineng Yan, Milinda Fernando, George Biros, Mattan Erez, Martin Burtscher, Christopher Rossbach, Keshav Pingali, Milos Gligoric (The University of Texas at Austin)
Shared-Memory Parallel Dynamic Louvain Algorithm for Community Detection
Subhajit Sahu, Kishore Kothapalli (International Institute of Information Technology Hyderabad, India); Dip Sankar Banerjee (Indian Institute of Technology Jodhpur, India)
Energy-Aware Decentralized Learning with Intermittent Model Training
Martijn de Vos, Akash Dhasade (École polytechnique fédérale de Lausanne); Paolo Dini (Centre Tecnològic de Telecomunicacions de Catalunya); Elia Guerra (Centre Tecnològic de Telecomunicacions de Catalunya); Anne-marie Kermarrec (École polytechnique fédérale de Lausanne); Marco Miozzo (Centre Tecnològic de Telecomunicacions de Catalunya); Rafael Pires (École polytechnique fédérale de Lausanne); Rishi Sharma (École polytechnique fédérale de Lausanne)
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications
Grant Wilkins (University of Cambridge); Sheng Di (Argonne National Laboratory); Jon Calhoun (Clemson University); Kibaek Kim (Argonne National Laboratory); Robert Underwood (Argonne National Laboratory); Richard Mortier (University of Cambridge); Franck Cappello (Argonne National Laboratory)
Scheduling and Allocation of Disaggregated Memory Resources in HPC Systems
Jie Li (Texas Tech University); George Michelogiannakis, Brandon Cook, John Shalf (Berkeley Lab); Yong Chen (Texas Tech University);
System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, Minjia Zhang, Reza Yazdani Aminabadi, Shuwaen leon Song, Samyam Rajbhandari, Yuxiong He (Microsoft Inc)
Enhancing Energy Efficiency with Multi-Site Scheduling Strategies
Alok Kamatar, Valerie Hayot-Sasson, Yadu Babuji, Andre Bauer (University of Chicago); Gourav Rattihalli, Ninad Hogade, Dejan Milojicic (HPE); Kyle Chard, Ian Foster (University of Chicago)
Scalable Node Embedding Algorithms using Distributed Sparse Matrix Operations
Isuru Ranawaka, Ariful Azad (Indiana University)
FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering
Md Sirajul Islam, Simin Javaherian (University of Louisiana at Lafayette); Fei Xu (East China Normal University); Xu Yuan, Li Chen, Nian-feng Tzeng (University of Louisiana at Lafayette)