Euro-Par 2022: Parallel Processing Workshops : Euro-Par 2022 International Workshops, Glasgow, UK, August 22–26, 2022, Revised Selected Papers / edited by Jeremy Singer, Yehia Elkhatib, Dora Blanco Heras, Patrick Diehl, Nick Brown, Aleksandar Ilic.

Format:

Book

Author/Creator:

Singer, Jeremy.

Contributor:

Elkhatib, Yehia.

Blanco Heras, Dora.

Diehl, Patrick.

Brown, Nick.

Ilić, Aleksandar.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13835

Language:

English

Subjects (All):

Computer engineering.

Computer networks.

Computer Engineering and Networks.

Local Subjects:

Computer Engineering and Networks.

Physical Description:

1 online resource (313 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2023.

Summary:

This book constitutes revised selected papers from the workshops held at the 28th International European Conference on Parallel and Distributed Computing, Euro-Par 2022, which took place in Glasgow, UK, in August 22–26, 2022 Out of a total of 35 submissions 24 papers have been accepted, 19 of these are included in this book. They stem from the following workshops: - Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar) - Workshop on Asynchronous Many-Task systems for Exascale (AMTE) - Workshop on Domain Specific Languages for High-Performance Computing (DSL-HPC) - Workshop on Distributed and Heterogeneous Programming in C and C++ (DHPCC++) - Workshop on Resiliency in High Performance Computing in Clouds, Grids, and Clusters (Resilience) In addition, the proceedings alsocontains 6 extended abstracts from the PhD Symposium. .

Contents:

AMTE – Asynchronous Many-Task Systems for Exascale

Quantifying Overheads in Charm++ and HPX using Task Bench

A Portable and Heterogeneous LU Factorization on IRIS

Halide Code Generation Framework in Phylanx

DSL-HPC – Domain Specific Languages for High-Performance Computing

Exploring the suitability of the Cerebras Wafer Scale Engine for stencil-based computation codes

Performance of the Vipera framework for DSLs on micro-core architectures

FFTc: An MLIR Dialect for Developing HPC Fast Fourier Transform Libraries

HeteroPar – Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms

Programming Heterogeneous Architectures Using Hierarchical Tasks

A C++ library for memory layout and performance portability of scientific applications

Implementation and Performance Evaluation of Memory System using Addressable Cache for HPC applications on HBM2 equipped FPGAs

Programming abstractions for preemptive scheduling in FPGAs using partial reconfiguration

Modeling Task Mapping for Data-intensive Applications in Heterogeneous Systems

Mapping Tree-shaped Workflows on Memory-heterogeneous Architectures

Hetero-Vis: A Framework for Latency Optimized Deployment of Convolutional Neural Networks on Heterogeneous Architectures

Rapid development of OS support with PMCSched for scheduling on asymmetric multicore systems

HIPLZ: Enabling Performance Portability for Exascale Systems

StorAlloc: A Simulator for Job Scheduling on Heterogeneous Storage Resources

Performance and scalability analysis of AI-accelerated CFD simulations across various computing platforms

Miscellaneous Workshops

Performance Portability Assessment: Non-negative Matrix Factorization as a case study

Task-level Checkpointing System for Task-based Parallel Workflows

Euro-Par PhD Symposium

A Stochastic Programming Approach for an Enhanced Performance of a Multi-committees Byzantine Fault Tolerant Algorithm

Coupe: a modular, multi-threaded mesh partitioning platform

Preliminary study of resource allocation in wireless communications

Benchmarking Parallelism in Unikernels

Machine Learning methodologies to support HPC systems operations: Anomaly detection

FPGAs in supercomputers: performance through dataflow programming and flexibility.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Singer, Jeremy Euro-Par 2022: Parallel Processing Workshops

ISBN:

9783031312090

OCLC:

1378936227