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ORCID31st Euro-Par 2025: Dresden, Germany - Part I
- Wolfgang E. Nagel, Diana Goehringer
, Pedro C. Diniz:
Euro-Par 2025: Parallel Processing - 31st European Conference on Parallel and Distributed Processing, Dresden, Germany, August 25-29, 2025, Proceedings, Part I. Lecture Notes in Computer Science 15900, Springer 2026, ISBN 978-3-031-99853-9
Programming, Compilers and Performance
- Aurélien Delval, Pablo de Oliveira Castro, William Jalby, Etienne Renault:
Noise Injection for Performance Bottleneck Analysis. 3-23 - Jie Tong, Wan-Luan Lee, Umit Yusuf Ogras, Tsung-Wei Huang:
Scalable Code Generation for RTL Simulation of Deep Learning Accelerators With MLIR. 24-37 - Ivo Gabe de Wolff, David P. van Balen, Gabriele K. Keller:
Scheduling Task and Data Parallelism in Array Languages with Work Assisting. 38-52 - Solomon Bekele, Aurelio Vivas, Thomas Applencourt, Servesh Muralidharan, Bryce Allen, Kazutomo Yoshii, Swann Perarnau, Brice Videau:
THAPI: Tracing Heterogeneous APIs. 54-70 - Anna-Lena Roth, David James, Michael Kuhn, Dustin Frisch:
Making MPI Collective Operations Visible: Understanding Their Utility and Algorithmic Insights. 71-84 - Jaewoo Son, Youngchul Yoon, Soonhoi Ha:
TSim4CXL: Trace-Driven Simulation Framework for CXL-Based High-Performance Computing Systems. 85-99 - André Rauber Du Bois, Gerson G. H. Cavalheiro:
Polymorphic Higher-Order GPU Kernels. 100-113 - Wei Li, Ao Ren, Qingqiu Lan, Haining Fang, Zhenyu Wang, Yujuan Tan, Kan Zhong, Duo Liu:
CoSF: A Co-Optimization Framework for Operator Splitting and Fusion. 114-128
Scheduling, Resource Management, Cloud, Edge Computing, and Workflows
- Louis-Claude Canon, Anthony Dugois, Pierre-Cyrille Héam, Ismaël Jecker:
Approximation Bounds for SLACK on Identical Parallel Machines. 131-144 - Olivier Beaumont, Raphaël Bourgouin, Maxime Darrin, Loris Marchal, Pablo Piantanida:
Leveraging Expert Usage to Speed up LLM Inference with Expert Parallelism. 145-158 - Jianfeng Gu, Puxuan Wang, Isaac David Núñez Araya, Kai Huang, Michael Gerndt:
HAS-GPU: Efficient Hybrid Auto-scaling with Fine-Grained GPU Allocation for SLO-Aware Serverless Inferences. 159-174 - Daniel Medeiros, Jeremy J. Williams, Jacob Wahlgren, Leonardo Saud Maia Leite, Ivy Peng:
ARC-V: Vertical Resource Adaptivity for HPC Workloads in Containerized Environments. 175-189 - Yang Xu, Zhiwei Yao, Hongli Xu, Yunming Liao, Zuan Xie:
MPLS: Stacking Diverse Layers Into One Model for Decentralized Federated Learning. 190-204 - Thomas Jakobsche, Osman Seckin Simsek, Jim M. Brandt, Ann C. Gentile, Florina M. Ciorba:
An Autonomy Loop for Dynamic HPC Job Time Limit Adjustment. 205-218 - Ana Gainaru, Scott Klasky, Guillaume Pallez:
Priority-BF: A Task Manager for Priority-Based Scheduling. 219-232 - Marta Navarro, Vicent Pallardó-Julià, Salvador Petit, María Engracia Gómez, Julio Sahuquillo:
WAPA: A Workload-Agnostic CPI-Based Thread-to-Core Allocation Policy. 233-247 - Volodia Parol-Guarino, Nikos Parlavantzas:
Auction-Based Placement of Function Chains in the Fog at Scale. 248-263 - Roopkatha Banerjee, Tejus Chandrashekar, Ananth Eswar, Yogesh Simmhan:
Federated Learning Within Global Energy Budget over Heterogeneous Edge Accelerators. 264-278 - Giuseppe Coviello, Kunal Rao, Mohammad A. Khojastepour, Srimat Chakradhar:
Bifröst: Peer-to-Peer Load-Balancing for Function Execution in Agentic AI Systems. 279-291 - Yunling Chen, Qingyin Lin, Zhitao Chen, Yang Ou, Zhiguang Chen:
DynoInfer: Adaptive Resource Orchestration for LLM Inference on Resource-Constrained PCs. 292-306 - Rajat Bhattarai, Howard Pritchard, Sheikh K. Ghafoor:
Enabling Elasticity in Scientific Workflows for High-Performance Computing Systems. 307-321 - Yunlan Wang, Yutong Liu, Tianhai Zhao, Mingxuan Liu, Jianhua Gu, Zhengxiong Hou, Chengwen Zhong:
Container Workload Prediction Using Deep Domain Adaptation in Transfer Learning. 322-336 - Yiming Sun, Jiaqi Zhang, Jie Zhang, Huawei Cao, Xuejun An, Xiaochun Ye:
CGP-Graphless: Towards Efficient Serverless Graph Processing via CPU-GPU Pipelined Collaboration. 337-350 - Sunil Kumar, Vivek Kumar:
KarmaPM: Reward-Driven Power Manager. 351-365 - Nobel Dhar, Bobin Deng, Md. Romyull Islam, Xinyue Zhang, Kazi Fahim Ahmad Nasif, Kun Suo:
A Sparsity Predicting Approach for Large Language Models via Activation Pattern Clustering. 366-379 - Joachim Cendrier, Rajini Wijayawardana, Anne Benoit, Yves Robert, Frédéric Vivien, Andrew A. Chien:
Green Scheduling on the Edge. 380-394 - Kaicheng Guo, Jingyi Chen, Yun Wang, Semakin Anton, Tovmachenko Dmitry, Jiajie Sheng, Jianwen Wei, James Lin, Zhengwei Qi, Haibing Guan:
Design and Operation of Elastic GPU-Pooling on Campus. 395-409 - Mingxuan Liu, Jianhua Gu, Tianhai Zhao:
ServerlessRec: Fast Serverless Inference for Embedding-Based Recommender Systems with Disaggregated Memory. 410-423
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