- Chao Peng, Yiming Guo, Yao Chen, Qilin Rui, Zhengfeng Yang, Chenyang Xu:
FedGM: Heterogeneous Federated Learning via Generative Learning and Mutual Distillation. Euro-Par 2023: 339-351 - Manaswini Piduguralla, Saheli Chakraborty, Parwat Singh Anjana, Sathya Peri:
DAG-Based Efficient Parallel Scheduler for Blockchains: Hyperledger Sawtooth as a Case Study. Euro-Par 2023: 184-198 - Roberto Rocco, Gianluca Palermo:
Fault-Aware Group-Collective Communication Creation and Repair in MPI. Euro-Par 2023: 47-61 - Seyed Saberi, Günther Meschke, Andreas Vogel:
An Efficient Parallel Adaptive GMG Solver for Large-Scale Stokes Problems. Euro-Par 2023: 694-709 - Peter Sanders, Daniel Seemaier:
Distributed Deep Multilevel Graph Partitioning. Euro-Par 2023: 443-457 - Gabin Schieffer, Ivy Bo Peng:
Accelerating Drug Discovery in AutoDock-GPU with Tensor Cores. Euro-Par 2023: 608-622 - Karthick Panner Selvam, Mats Brorsson:
DIPPM: A Deep Learning Inference Performance Predictive Model Using Graph Neural Networks. Euro-Par 2023: 3-16 - Pirah Noor Soomro, Nikela Papadopoulou, Miquel Pericàs:
ODIN: Overcoming Dynamic Interference in iNference Pipelines. Euro-Par 2023: 169-183 - Moysis Symeonides, Demetris Trihinas, George Pallis, Marios D. Dikaiakos:
SparkEdgeEmu: An Emulation Framework for Edge-Enabled Apache Spark Deployments. Euro-Par 2023: 154-168 - Hongbing Tan, Jing Zhang, Libo Huang, Xiaowei He, Dezun Dong, Yongwen Wang, Liquan Xiao:
A Multi-level Parallel Integer/Floating-Point Arithmetic Architecture for Deep Learning Instructions. Euro-Par 2023: 260-274 - Istenç Tarhan, Jacques Carlier, Claire Hanen, Antoine Jouglet, Alix Munier Kordon:
Parameterized Analysis of a Dynamic Programming Algorithm for a Parallel Machine Scheduling Problem. Euro-Par 2023: 139-153 - Fernando Vázquez-Novoa, Javier Conejero, Cristian Tatu, Rosa M. Badia:
Scalable Random Forest with Data-Parallel Computing. Euro-Par 2023: 397-410 - Aaron Welch, Oscar R. Hernandez, Stephen W. Poole:
Extending OpenSHMEM with Aggregation Support for Improved Message Rate Performance. Euro-Par 2023: 32-46 - Zhen Xie, Siddhisanket Raskar, Murali Emani, Venkatram Vishwanath:
TrainBF: High-Performance DNN Training Engine Using BFloat16 on AI Accelerators. Euro-Par 2023: 458-473 - Yi Yang, Xiang Li, Yeting Xu, Wenzhong Li, Jiangyi Hu, Taishan Xu, Xiancheng Ren, Sanglu Lu:
MetaLive: Meta-Reinforcement Learning Based Collective Bitrate Adaptation for Multi-Party Live Streaming. Euro-Par 2023: 65-80 - Ziyu Zhang, Junshi Chen, Zhanming Wang, Yifan Luo, Jineng Yao, Shenghong Huang, Hong An:
SWSPH: A Massively Parallel SPH Implementation for Hundred-Billion-Particle Simulation on New Sunway Supercomputer. Euro-Par 2023: 564-577 - Bo Zhang, Philip E. Davis, Nicolas Morales, Zhao Zhang, Keita Teranishi, Manish Parashar:
Optimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA. Euro-Par 2023: 323-338 - Xiaoyun Zhang, Yaohua Wang, Dezun Dong, Cunlu Li, Shaocong Wang, Liquan Xiao:
DeTAR: A Decision Tree-Based Adaptive Routing in Networks-on-Chip. Euro-Par 2023: 352-366 - Anastasios Zouzias, William F. McColl:
A Parallel Scan Algorithm in the Tensor Core Unit Model. Euro-Par 2023: 489-502 - José Cano, Marios D. Dikaiakos, George A. Papadopoulos, Miquel Pericàs, Rizos Sakellariou:
Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28 - September 1, 2023, Proceedings. Lecture Notes in Computer Science 14100, Springer 2023, ISBN 978-3-031-39697-7 [contents]