Euro-Par 2020: Parallel Processing : 26th International Conference on Parallel and Distributed Computing, Warsaw, Poland, August 24-28, 2020, Proceedings

Euro-Par 2020: Parallel Processing : 26th International Conference on Parallel and Distributed Computing, Warsaw, Poland, August 24-28, 2020, Proceedings / Maciej Malawski, Krzysztof Rzadca (eds.).

This book constitutes the proceedings of the 26th International Conference on Parallel and Distributed Computing, Euro-Par 2020, held in Warsaw, Poland, in August 2020. The conference was held virtually due to the coronavirus pandemic. The 39 full papers presented in this volume were carefully revie...

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Bibliographic Details
Corporate Author: International EURO-PAR Conference Online
Other Authors: Malawski, Maciej, Rzadca, Krzysztof
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, [2020]
Series:Lecture notes in computer science ; 12247.
Lecture notes in computer science. Advanced research in computing and software science.
LNCS sublibrary. Theoretical computer science and general issues.
Subjects:
Parallel processing (Electronic computers) > Congresses.
Electronic data processing > Distributed processing > Congresses.
Software engineering.
Computer organization.
Logic design.
Computer networking & communications.
Algorithms & data structures.
Computer architecture & logic design.
Software Engineering.
Computers > Networking > General.
Computers > Hardware > General.
Computers > Data Transmission Systems > Electronic Data Interchange.
Computers > Online Services > General.
Computers > Logic Design.
Computers > Software Development & Engineering > General.
Parallel processing (Electronic computers)
Electronic data processing > Distributed processing
Computer input-output equipment
Computer organization
Computers
Logic design
Microprogramming
Software engineering
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • Support Tools and Environments
  • Skipping Non-essential Instructions Makes Data-dependence Profiling Faster
  • A Toolchain to Verify the Parallelization of OmpSs-2 Applications
  • Performance and Power Modeling, Prediction and Evaluation
  • Towards a Model to Estimate the Reliability of Large-scale Hybrid Supercomputers
  • A Learning-Based Approach for Evaluating the Capacity of Data Processing Pipelines
  • Operation-Aware Power Capping
  • A Comparison of the Scalability of OpenMP Implementations
  • Evaluating the Effectiveness of a Vector-Length-Agnostic Instruction Set
  • Scheduling and Load Balancing
  • Parallel Scheduling of Data-Intensive Tasks
  • A Makespan Lower Bound for the Scheduling of the Tiled Cholesky Factorization Based on ALAP Scheduling
  • Optimal GPU-CPU Offloading Strategies for Deep Neural Network Training
  • Improving mapping for sparse direct solvers: A trade-off between data locality and load balancing
  • High Performance Architectures and Compilers
  • Modelling Standard and Randomized Slimmed Folded Clos Networks
  • OmpMemOpti: Optimized Memory Movement for Heterogeneous Computing
  • Data Management, Analytics and Machine Learning
  • Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs
  • Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing
  • Optimizing FFT-based convolution on ARMv8 multi-core CPUs
  • Maximizing I/O Bandwidth for Reverse Time Migration on Heterogeneous Large-Scale Systems
  • Cluster, Cloud and Edge Computing
  • TorqueDB: Distributed Querying of Time-series Data from Edge-local Storage
  • Data-Centric Distributed Computing on Networks Mobile Devices
  • WPSP: a multi-correlated weighted policy for VM selection and migration for Cloud computing
  • Theory and Algorithms for Parallel and Distributed Processing
  • LCP-Aware Parallel String Sorting
  • Mobile RAM and Shape Formation by Programmable Particles
  • Approximation Algorithm for Estimating Distances in Distributed Virtual Environments
  • On the Power of Randomization in Distributed Algorithms in Dynamic Networks with Adaptive Adversaries
  • 3D Coded SUMMA: Communication-Efficient and Robust Parallel Matrix Multiplication
  • Parallel and Distributed Programming, Interfaces, and Languages
  • Managing Failures in task-based parallel workflows in distributed computing environments
  • Accelerating Nested Data Parallelism: Preserving Regularity
  • Using Dynamic Broadcasts to improve Task-Based Runtime Performances
  • A Compression-Based Design for Higher Throughput in a Lock-Free Hash Map
  • Multicore and Manycore Parallelism
  • NVPhTM: An Efficient Phase-Based Transactional System for Non-Volatile Memory
  • Enhancing Resource Management through Prediction-based Policies
  • Accelerating Overlapping Community Detection: Performance Tuning a Stochastic Gradient Markov Chain Monte Carlo Algorithm
  • Parallel Numerical Methods and Applications
  • A Prediction Framework for Fast Sparse Triangular Solves
  • Multiprecision block-Jacobi for Iterative Triangular Solves
  • Efficient Ephemeris Models for Spacecraft Trajectory Simulations on GPUs
  • Parallel Finite Cell Method with Adaptive Geometric Multigrid
  • Accelerator Computing
  • cuDTW++: Ultra-Fast Dynamic Time Warping on CUDA-enabled GPUs
  • Heterogeneous CPU+iGPU Processing for Efficient Epistasis Detection
  • SYCL-Bench: A Versatile Single-Source Benchmark Suite for Heterogeneous Computing.

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