Euro-Par

Publications

2023

Louis-Claude Canon, Damien Landré, Laurent Philippe, Jean-Marc Pierson, Paul Renaud-Goud
Assessing Power Needs to Run a Workload with Quality of Service on Green Datacenters. Euro-Par (2023)
Zhen Xie, Siddhisanket Raskar, Murali Emani, Venkatram Vishwanath
TrainBF: High-Performance DNN Training Engine Using BFloat16 on AI Accelerators. Euro-Par (2023)
Shiju Li, Kevin Tang, Jin Lim, Chul-Ho Lee, Jongryool Kim
Computational Storage for an Energy-Efficient Deep Neural Network Training System. Euro-Par (2023)
Moysis Symeonides, Demetris Trihinas, George Pallis, Marios D. Dikaiakos
SparkEdgeEmu: An Emulation Framework for Edge-Enabled Apache Spark Deployments. Euro-Par (2023)
Hongyu Chen, Zhejiang Ran, Keshi Ge, Zhiquan Lai, Jingfei Jiang, Dongsheng Li
Auto-Divide GNN: Accelerating GNN Training with Subgraph Division. Euro-Par (2023)
Andreas Irmler, Raghavendra Kanakagiri, Sebastian T. Ohlmann, Edgar Solomonik, Andreas Grüneis
Optimizing Distributed Tensor Contractions Using Node-Aware Processor Grids. Euro-Par (2023)
Juan Pedro Gutiérrez H. Muriedas, Katharina Flügel, Charlotte Debus, Holger Obermaier, Achim Streit, Markus Götz
perun: Benchmarking Energy Consumption of High-Performance Computing Applications. Euro-Par (2023)
Tomasz Kanas, Krzysztof Rzadca
A Poisson-Based Approximation Algorithm for Stochastic Bin Packing of Bernoulli Items. Euro-Par (2023)
Peter Sanders, Daniel Seemaier
Distributed Deep Multilevel Graph Partitioning. Euro-Par (2023)
Anastasios Zouzias, William F. McColl
A Parallel Scan Algorithm in the Tensor Core Unit Model. Euro-Par (2023)
Kilian Grage, Klaus Jansen, Felix Ohnesorge
Improved Algorithms for Monotone Moldable Job Scheduling Using Compression and Convolution. Euro-Par (2023)
Karthick Panner Selvam, Mats Brorsson
DIPPM: A Deep Learning Inference Performance Predictive Model Using Graph Neural Networks. Euro-Par (2023)
Javier García Blas, Genaro Sanchez-Gallegos, Cosmin Petre, Alberto Riccardo Martinelli, Marco Aldinucci, Jesús Carretero
Hercules: Scalable and Network Portable In-Memory Ad-Hoc File System for Data-Centric and High-Performance Applications. Euro-Par (2023)
Dominik Bojko, Marek Klonowski, Mateusz Marciniak, Piotr Syga
On Size Hiding Protocols in Beeping Model. Euro-Par (2023)
Robin Kobus, Johannes Nelgen, Valentin Henkys, Bertil Schmidt
Faster Segmented Sort on GPUs. Euro-Par (2023)
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)
Feng Li, Fengguang Song
INSTANT: A Runtime Framework to Orchestrate In-Situ Workflows. Euro-Par (2023)
Gianluca Mittone, Walter Riviera, Iacopo Colonnelli, Robert Birke, Marco Aldinucci
Model-Agnostic Federated Learning. Euro-Par (2023)
Jonas H. Müller Korndörfer, Ahmed Eleliemy, Osman Seckin Simsek, Thomas Ilsche, Robert Schöne, Florina M. Ciorba
How Do OS and Application Schedulers Interact? An Investigation with Multithreaded Applications. Euro-Par (2023)
Roberto Rocco, Gianluca Palermo
Fault-Aware Group-Collective Communication Creation and Repair in MPI. Euro-Par (2023)
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)
Benoît Martin, Laurent Prosperi, Marc Shapiro
Transactional-Turn Causal Consistency. Euro-Par (2023)
Zhaoteng Meng, Long Xiao, Xiaoyao Gao, Zhan Li, Lin Shu, Jie Hao
BitHist: A Precision-Scalable Sparse-Awareness DNN Accelerator Based on Bit Slices Products Histogram. Euro-Par (2023)
Seyed Saberi, Günther Meschke, Andreas Vogel
An Efficient Parallel Adaptive GMG Solver for Large-Scale Stokes Problems. Euro-Par (2023)
Daniel Hofstätter, Shashikant Ilager, Ivan Lujic, Ivona Brandic
SymED: Adaptive and Online Symbolic Representation of Data on the Edge. Euro-Par (2023)
Pirah Noor Soomro, Nikela Papadopoulou, Miquel Pericàs
ODIN: Overcoming Dynamic Interference in iNference Pipelines. Euro-Par (2023)
Tiago Trevisan Jost, Arun Thangamani, Raphaël Colin, Vincent Loechner, Stéphane Genaud, Bérenger Bramas
GPU Code Generation of Cardiac Electrophysiology Simulation with MLIR. Euro-Par (2023)
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)
Dominik Bojko, Marek Klonowski, Dariusz R. Kowalski, Mateusz Marciniak
Efficient Protective Jamming in 2D SINR Networks. Euro-Par (2023)
Jasmin Mohnke, Michael Wagner
A Look at Performance and Scalability of the GPU Accelerated Sparse Linear System Solver Spliss. Euro-Par (2023)
Fernando Vázquez-Novoa, Javier Conejero, Cristian Tatu, Rosa M. Badia
Scalable Random Forest with Data-Parallel Computing. Euro-Par (2023)
Felix Liu, Albin Fredriksson, Stefano Markidis
Parallel Cholesky Factorization for Banded Matrices Using OpenMP Tasks. Euro-Par (2023)
Shuai Lu, Jun Chu, Luanzheng Guo, Xu T. Liu
Im2win: An Efficient Convolution Paradigm on GPU. Euro-Par (2023)
Xiaofeng Hou, Jiacheng Liu, Xuehan Tang, Chao Li, Kwang-Ting Cheng, Li Li, Minyi Guo
MMExit: Enabling Fast and Efficient Multi-modal DNN Inference with Adaptive Network Exits. Euro-Par (2023)
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)
Gabin Schieffer, Ivy Bo Peng
Accelerating Drug Discovery in AutoDock-GPU with Tensor Cores. Euro-Par (2023)
Enrico Dandolo, Andrea Pietracaprina, Geppino Pucci
Distributed k-Means with Outliers in General Metrics. Euro-Par (2023)
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)
Zekai Chen, Fuyi Wang, Shengxing Yu, Ximeng Liu, Zhiwei Zheng
FedCML: Federated Clustering Mutual Learning with non-IID Data. Euro-Par (2023)
Istenc 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)
Kurt Horvath, Dragi Kimovski, Christoph Uran, Helmut Wöllik, Radu Prodan
MESDD: A Distributed Geofence-Based Discovery Method for the Computing Continuum. Euro-Par (2023)
Francesc Lordan, Gabriel Puigdemunt, Pere Vergés, Javier Conejero, Jorge Ejarque, Rosa M. Badia
Hierarchical Management of Extreme-Scale Task-Based Applications. Euro-Par (2023)
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)
Aaron Welch, Oscar R. Hernandez, Stephen W. Poole
Extending OpenSHMEM with Aggregation Support for Improved Message Rate Performance. Euro-Par (2023)
Anne Benoit, Louis-Claude Canon, Redouane Elghazi, Pierre-Cyrille Héam
Asymptotic Performance and Energy Consumption of SLACK. Euro-Par (2023)
Abdul Qadir Ibrahim, Sebastian Götschel, Daniel Ruprecht
Parareal with a Physics-Informed Neural Network as Coarse Propagator. Euro-Par (2023)
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)
Wenhai Li, Zhiling Cheng, Yuan Chen, Ao Li, Lingfeng Deng
Lock-Free Bucketized Cuckoo Hashing. Euro-Par (2023)
Zhihua Fan, Wenming Li, Shengzhong Tang, Xuejun An, Xiaochun Ye, Dongrui Fan
Improving Utilization of Dataflow Architectures Through Software and Hardware Co-Design. Euro-Par (2023)

volume 14100, 2023

Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28 - September 1, 2023, Proceedings Euro-Par 14100 (2023)