Euro-Par 2023: Parallel Processing Workshops (eBook, PDF)

Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 - September 1, 2023, Revised Selected Papers, Part II
Redaktion: Zeinalipour, Demetris; Fürlinger, Karl; Cojean, Terry; Diehl, Patrick; Balouek, Daniel; Trihinas, Demetris; Herodotou, Herodotos; Pallis, George; Blanco Heras, Dora; Di Sanzo, Pierangelo; Nardelli, Matteo; Kirkeby, Maja Hanne

• Format: PDF

Produktbeschreibung

Chapters "1, 2, 3, 4, 5, 6, 7, 13, 20 and 31" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 337
• Erscheinungstermin: 13. April 2024
• Englisch
• ISBN-13: 9783031488030
• Artikelnr.: 70335677

Inhaltsangabe

The 2nd International Workshop on Resource AWareness of Systems and Society (RAW 2023).- Performance and energy aware training of a deep neural network in a multi-GPU environment with power capping.- GPPRMon: GPU Runtime Memory Performance and Power Monitoring Tool.- Towards Resource-Efficient DNN Deployment for Traffic Object Recognition: From Edge to Fog.- The Implementation of Battery Charging Strategy for IoT Nodes.- subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment.- Towards a Simulation as a Service Platform for the Cloud-to-Things Continuum.- Cormas: The Software for Participatory Modelling and its Application for Managing Natural Resources in Senegal.- Asynchronous Many-Task systems for Exascale (AMTE).- Malleable APGAS Programs and their Support in Batch Job Schedulers.- Task-Level Checkpointing for Nested Fork-Join Programs using Work Stealing.- Making Uintah Performance Portable for Department of Energy Exascale Testbeds.- Benchmarking the Parallel 1D Heat Equation Solver in Chapel, Charm++, C++, HPX, Go, Julia, Python, Rust, Swift, and Java.- PECS 2023 - 2-page report.- Parallel auto-scheduling of counting queries in machine learning applications on HPC systems.- Energy Efficiency Impact of Processing in Memory: A Comprehensive Review of Workloads on the UPMEM Architecture.- Enhancing Supercomputer Performance with Malleable Job Scheduling Strategies.- A Performance Modelling-driven Approach to Hardware Resource Scaling.- Applications and Benefits of UPMEM commercial Massively parallel Processing-In-Memory (PIM) Platform (ABUMPIMP) Minisymposium.- Adaptive HPC Input/Output Systems.- Dynamic Allocations in a Hierarchical Parallel Context.- Designing A Sustainable Serverless Graph Processing Tool on the Computing Continuum.- Diorthotis: A Parallel Batch Evaluator for Programming Assignments.- Experiences and Lessons Learned from PHYSICS: A Framework for Cloud Development with FaaS.- Improved IoT Application Placement in Fog Computing through Postponement.- High-Performance Distributed Computing with Smartphones.- Blockchain-based Decentralized Authority for Complex Organizational Structures Management.- Transparent Remote OpenMP Offloading based on MPI.- DAPHNE Runtime: Harnessing Parallelism for Integrated Data Analysis Pipelines.- Exploring Factors Impacting Data Offloading Performance in Edge and Cloud Environments.- HEAppE Middleware: From desktop to HPC.- Towards Energy-Aware Machine Learning in Geo-Distributed IoT Settings.- OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems.- BDDC Preconditioning in the Microcard Project.- Online Job Failure Prediction in an HPC system.- Exploring Mapping Strategies for Co-allocated HPC Applications.- A polynomial-time algorithm for detecting potentially unbounded places in a Petri net-based concurrent system.- Data Assimilation with Ocean Models: A Case Study of Reduced Precision and Machine Learning in the Gulf of Mexico.- Massively parallel EEG algorithms for pre-exascale architectures.- Online Job Failure Prediction in an HPC System.- Transitioning to Smart Sustainable Cities Based on Cutting-Edge Technological Improvements.- Algorithm Selection of MPI Collectives Considering System Utilization.- Service Management in Dynamic Edge Environments.- Path Plan Optimisation for UAV Assisted Data Collection in Large Areas.- Efficiently Distributed Federated Learning.