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Euro-Par 2024: Parallel Processing

30th European Conference on Parallel and Distributed Processing, Madrid, Spain, August 26–30, 2024, Proceedings, Part III

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Jesus Carretero

    1. University Carlos III of Madrid, Madrid, Spain

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  2. Sameer Shende

    1. University of Oregon, Eugene, USA

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  3. Javier Garcia-Blas

    1. University Carlos III of Madrid, Madrid, Spain

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  4. Ivona Brandic

    1. TU Wien, Vienna, Austria

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  5. Katzalin Olcoz

    1. Universidad Complutense de Madrid, Madrid, Spain

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  6. Martin Schreiber

    1. Université Grenoble Alpes, Saint Martin d'Hères, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14803)

Included in the following conference series:

Conference proceedings info: Euro-Par 2024.

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About this book

The three-volume set LNCS 14801, 14802, and 14803 constitutes the proceedings of the 30th European Conference on Parallel and Distributed Processing, Euro-Par 2024, which took place in Madrid, Spain, during August 26–30, 2024.

The 88 full papers included in the proceedings were carefully reviewed and selected from 293 submissions. They were organized in topical sections as follows:

Part I: Programming, compilers, and performance; scheduling, resource management, cloud, edge computing, and workflows; 

Part II: Architectures and accelerators; data analytics, AI and computational science; 

Part III: Theory and algorithms; multidisciplinary, domain-specific and applied parallel and distributed computing.

Keywords

Table of contents (28 papers)

  1. Front Matter

    Pages i-xvii
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  2. Theory and Algorithms

    1. Front Matter

      Pages 1-1
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    2. Accelerated Block-Sparsity-Aware Matrix Reordering for Leveraging Tensor Cores in Sparse Matrix-Multivector Multiplication

      • Eunji Lee, Yoonsang Han, Gordon Euhyun Moon
      Pages 3-16

    3. Reduced-Precision and Reduced-Exponent Formats for Accelerating Adaptive Precision Sparse Matrix–Vector Product

      • Stef Graillat, Fabienne Jézéquel, Theo Mary, Roméo Molina, Daichi Mukunoki
      Pages 17-30

    4. Mixed Precision Randomized Low-Rank Approximation with GPU Tensor Cores

      • Marc Baboulin, Simplice Donfack, Oguz Kaya, Theo Mary, Matthieu Robeyns
      Pages 31-44

    5. Boolean Matrix Multiplication for Highly Clustered Data on the Congested Clique

      • Andrzej Lingas
      Pages 45-58

    6. Minimizing I/O in Toom-Cook Algorithms

      • Roy Nissim, Oded Schwartz, Yuval Spiizer
      Pages 59-73

    7. GPU-Accelerated BFS for Dynamic Networks

      • Filippo Ziche, Nicola Bombieri, Federico Busato, Rosalba Giugno
      Pages 74-87

    8. QClique: Optimizing Performance and Accuracy in Maximum Weighted Clique

      • Qasim Abbas, Mohsen Koohi Esfahani, Ian Overton, Hans Vandierendonck
      Pages 88-102

    9. A Fast Wait-Free Solution to Read-Reclaim Races in Reference Counting

      • Ivo Gabe de Wolff, Daniel Anderson, Gabriele K. Keller, Aleksei Seletskiy
      Pages 103-118

    10. How to Relax Instantly: Elastic Relaxation of Concurrent Data Structures

      • Kåre von Geijer, Philippas Tsigas
      Pages 119-133

    11. ALZI: An Improved Parallel Algorithm for Finding Connected Components in Large Graphs

      • Sharon Boddu, Maleq Khan
      Pages 134-147

  3. Multidisciplinary, Domain-Specific and Applied Parallel and Distributed Computing

    1. Front Matter

      Pages 149-149
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    2. TaroRTL: Accelerating RTL Simulation Using Coroutine-Based Heterogeneous Task Graph Scheduling

      • Dian-Lun Lin, Umit Ogras, Joshua San Miguel, Tsung-Wei Huang
      Pages 151-166

    3. Combining Compression and Prefetching to Improve Checkpointing for Inverse Seismic Problems in GPUs

      • Thiago Maltempi, Sandro Rigo, Marcio Pereira, Hervé Yviquel, Jessé Costa, Guido Araujo
      Pages 167-181

    4. Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation

      • Guofeng Feng, Hongyu Wang, Zhuoqiang Guo, Mingzhen Li, Tong Zhao, Zhou Jin et al.
      Pages 182-195

    5. A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning

      • Jiajun Song, Jiajun Luo, Rongwei Lu, Shuzhao Xie, Bin Chen, Zhi Wang
      Pages 196-211

    6. Accelerating Stencil Computation with Fully Homomorphic Encryption Using GPU

      • Xianlong Zhou, Pei Li, Jiageng Chen, Shixiong Yao
      Pages 212-224

    7. GPU Cache System for COMPSs: A Task-Based Distributed Computing Framework

      • Cristian Cătălin Tatu, Javier Conejero, Fernando Vázquez-Novoa, Rosa M. Badia
      Pages 225-239

    8. Code Generation for Octree-Based Multigrid Solvers with Fused Higher-Order Interpolation and Communication

      • Richard Angersbach, Sebastian Kuckuk, Harald Köstler
      Pages 240-254
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Other volumes

  1. Euro-Par 2024: Parallel Processing

  2. Euro-Par 2024: Parallel Processing

  3. Euro-Par 2024: Parallel Processing

Editors and Affiliations

  • University Carlos III of Madrid, Madrid, Spain

    Jesus Carretero, Javier Garcia-Blas

  • University of Oregon, Eugene, USA

    Sameer Shende

  • TU Wien, Vienna, Austria

    Ivona Brandic

  • Universidad Complutense de Madrid, Madrid, Spain

    Katzalin Olcoz

  • Université Grenoble Alpes, Saint Martin d'Hères, France

    Martin Schreiber

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