IPDPS 2025 Conference Posters

The 21 conference posters listed below will be presented by their authors during the Conference Poster Session on Friday 6 June from 16:10 - 17:30. The posters will also be available for viewing during the three days of the main conference in the atrium area on the ground floor of Trifoglio. The two-page extended abstracts describing the work will be published as part of the IPDPSW volume of the proceedings.

• A Simulation-Based Framework to Reduce I/O Contention in HPC
  Simone Pernice (University of Turin); Ahmad Tarraf (Technical University of Darmstadt); Jean-Baptiste Besnard (ParaTools); Barbara Cantalupo (University of Turin); David Exposito Singh and Alberto Cascajo Garcia (University Carlos III of Madrid); Felix Wolf (University of Darmstadt); Sameer Shende (ParaTools); Jesus Carretero Perez (University Carlos III of Madrid); Marco Aldinucci (University of Turin)
• Characterizing Spatial Data Traits for Modeling Generic Lossy Rate-Distortion Quality
  Md Hasanur Rahman (University of Iowa); Sheng Di (Argonne National Laboratory); Guanpeng Li (University of Iowa); and Franck Cappello (Argonne National Laboratory)
• Efficient parallel scheduling for sparse triangular solvers
  Toni Böhnlein, Pál András Papp, Raphael S. Steiner, and Albert-Jan N. Yzelman (Huawei Zurich Research Center)
• Energy Efficient Scheduling of AI/ML Workloads on Multi-Instance GPUs with Dynamic Repartitioning
  Ellie Lipe, Cliff Stein, Neel Karia, and Connor Espenshade (Columbia University); Asser Tantawi and Olivier Tardieu (IBM)
• Enhancing Graph Transformer Training through Adaptive Graph Parallelism
  Jun-Liang Lin, Kamesh Madduri, and Mahmut Kandemir (Pennsylvania State University)
• Evaluation and Mitigation of Performance Variability of OpenMP Applications on Modern Multicore Systems
  Minyu Cui and Miquel Pericas (Chalmers University of Technology)
• Exploring Near-Optimal Contraction Strategies for the Scalar Product in the Tensor-Train Format
  Olivier Coulaud (Inria Bordeaux); Przemysaw Dominikowski and Oguz Kaya (Université Paris-Saclay); Laercio Lima Pilla (CNRS); Brice Pointal and Atte Torri (Université Paris-Saclay)
• INSPIRIT: Adaptive Priority-based Task Scheduling for Heterogeneous Hardware
  Yiqing Wang, Hailong Yang, Xiaoyan Liu, Xinyu Yang, Pengbo Wang, and Xin You (Beihang University); Qingxiao Sun (China University of Petroleum); Mingzhen Li (Institute of Computing Technology, Chinese Academy of Sciences); Yi Liu, Zhongzhi Luan, and Depei Qian (Beihang University)
• IRISX: A Dynamic Trade-off System for Harnessing Heterogeneity for Performance Portability
  Sanil Rao (Carnegie Mellon University); Mohammad Alaul Haque Monil, Het Mankad, and Narasinga Rao Miniskar (Oak Ridge National Laboratory); Brian Van Straalen (Carnegie Mellon University); Phillip Colella (Lawrence Berkeley National Laboratory); Jeffrey Vetter (Oak Ridge National Laboratory); Franz Franchetti (Carnegie Mellon University)
• Lossy Parallel Visualization of Large-Scale Volume Data with Error-Bounded Image Compositing
  Yongfeng Qiu and Yuxiao Li (The Ohio State University); Xin Liang (University of Kentucky); Yafan Huang and Guanpeng Li (University of Iowa); Sheng Di and Franck Cappello (Argonne National Laboratory); Hanqi Guo (The Ohio State University)
• MetaCast: Generalizing HPC Application Runtime Prediction
  Si Chen (Emory University); Simon Garcia De Gonzalo (Sandia National Laboratories); Avani Wildani (Cloudflare)
• Optimizing Particle-in-Cell Plasma Simulations on an MT-3000 Cluster with Parallel and Neo-Heterogeneous Strategies
  Biao Li and Jie Liu (Parallel and Distributed Processing Laboratory, National University of Defense Technology); Qingyang Zhang (Science and Technology on Parallel and Distributed Processing Laboratory); Xinhai Chen, Xiaoxiong Zhu, and Qinglin Wang (Parallel and Distributed Processing Laboratory, National University of Defense Technology); Hongbin Zhuo (Shenzhen Technology University)
• Parallel Scan on Ascend AI Accelerators
  Bartlomiej Wroblewski, Gioele Gottardo, and Anastasios Zouzias (Huawei Technologies Switzerland AG)
• Performance and Portability in Multi-GPU Branch-and-Bound: Chapel versus CUDA and HIP for Tree-Based Optimization
  Ivan Tagliaferro de Oliveira Tezoto (Inria centre at the University of Lille); Guillaume Helbecque and Ezhilmathi Krishnasamy (University of Luxembourg, DCS-FSTM/SnT); Nouredine Melab (Inria centre at the University of Lille); Grégoire Danoy (University of Luxembourg, DCS-FSTM/SnT)
• Poster: A Scalable and Fault-Tolerant Decentralized Middleware for CI/CD Workflow
  Amena Begum Farha and Abdullah Al-Mamun (Augusta University); Gagan Agrawal (University of Georgia)
• Setchain Algorithms for Blockchain Scalability
  Arivarasan Karmegam (IMDEA Networks Institute); Gabina Luz Bianchi (Universidad Nacional de Rosario); Margarita Capretto, Martin Ceresa, Antonio Fernandez Anta, and Cesar Sanchez (IMDEA Software Institute)
• Toward Efficient Asynchronous Single-Source Shortest Path
  Marco D'Antonio, Son Thai Mai, and Hans Vandierendonck (Queen's University Belfast)
• Toward Performance Prediction in Large-Scale Systems through Temporal System and Application Log Analysis
  Ehan Sohn (Seoul National University of Science and Technology); Alex Sim (Lawrence Berkeley National Laboratory); Dong Kyu Sung (Seoul National University); Yongseok Son (Chung-Ang University); Jisung Park (Pohang University of Science and Technology); Changjong Kim and Sunggon Kim (Seoul National University of Science and Technology)
• Towards Efficient Instruction Stream Scheduling for Stencil Computation on ARM Processors
  Shanghao Liu, Hailong Yang, Xin You, Zhongzhi Luan, Yi Liu, and Depei Qian (Beihang University)
• TSUE: A Two-Stage Data Update Method for an Erasure Coded Cluster File System
  Zheng Wei, Jing Xing, Yida Gu, and Dingwen Tao (Institute of Computing Technology, Chinese Academy of Sciences)
• Unlocking Energy-Efficient and High-Throughput Secure Data Communication in IoT with Memory-Centric Computing
  Jingyao Zhang and Elaheh Sadredini (University of California, Riverside)
  

Posted 15 May 2025
Authors who have corrections should send email to contact@ipdps.org giving full details.