Euro-Par 2019: Parallel Processing : 25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, August 26-30, 2019, Proceedings / edited by Ramin Yahyapour.

Format:

Book

Contributor:

Yahyapour, Ramin, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 11725.

Theoretical Computer Science and General Issues ; 11725

Language:

English

Subjects (All):

Software engineering.

Logic design.

Computer organization.

Computers.

Data structures (Computer science).

Artificial intelligence.

Software Engineering/Programming and Operating Systems.

Logic Design.

Computer Systems Organization and Communication Networks.

Information Systems and Communication Service.

Data Structures and Information Theory.

Artificial Intelligence.

Local Subjects:

Software Engineering/Programming and Operating Systems.

Logic Design.

Computer Systems Organization and Communication Networks.

Information Systems and Communication Service.

Data Structures and Information Theory.

Artificial Intelligence.

Physical Description:

1 online resource (XXVIII, 524 pages) : 625 illustrations, 152 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

This book constitutes the proceedings of the 25th International Conference on Parallel and Distributed Computing, Euro-Par 2019, held in Göttingen, Germany, in August 2019. The 36 full papers presented in this volume were carefully reviewed and selected from 142 submissions. They deal with parallel and distributed computing in general, focusing on support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; data management, analytics and deep learning; cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces, and languages; multicore and manycore parallelism; theory and algorithms for parallel computation and networking; parallel numerical methods and applications; accelerator computing; algorithms and systems for bioinformatics; and algorithms and systems for digital humanities. .

Contents:

Online Fault Classification in HPC Systems through Machine Learning

Accelerating Data-Dependence Profiling with Static Hints

Multi-Valued Expression Analysis for Collective Checking

Towards Portable Online Prediction of Network Utilization using MPI-level Monitoring

A Comparison of Random Task Graph Generation Methods for Scheduling Problems

Code Region Characterization Using a Reduced Space of Hardware Counters

Combining checkpointing and data compression to accelerate adjoint-based optimization problems

Linear Time Algorithms for Multiple Cluster Scheduling and Multiple Strip Packing

Scheduling on Two Unbounded Resources with Communication Costs

Improving Fairness in a Large Scale HTC System Through Workload Analysis and Simulation

Contention-aware Task Scheduler for Concurrent Hierarchical Operations

Load-Balancing for Parallel Delaunay Triangulations

Design-Space Exploration with Multi-Objective Resource-Aware Modulo Scheduling

Implementing YewPar: a Framework for Parallel Tree Search

PLB-HAC: Dynamic Load-Balancing for Heterogeneous Accelerator Clusters

Enhancing the Programmability and Performance Portability of GPU Tensor Operations

Unified and Scalable Incremental Recommenders with Consumed Item Packs

Declarative Big Data Analysis for High-Energy Physics: TOTEM Use Case

Clustering as Approximation Method to Optimize Hydrological Simulations

YOLO: Speeding up VM and Docker Boot Time by reducing I/O operations

Celerity: High-level C++ for Accelerator Clusters

Dataflow Execution of Hierarchically Tiled Arrays

Scalable FIFO Channels for Programming via Communicating Sequential Processes

TWA - Ticket Locks Augmented with a Waiting Array

Enabling Resilience in Asynchronous Many-Task Programming Models

Avoiding Scalability Collapse by Restricting Concurrency

Graph Coloring using GPUs

Featherlight Speculative Task Parallelism

One Table to Count Them All: Parallel Frequency Estimation on Single-Board Computers

Fine-grained MPI+OpenMP plasma simulations: communication overlap with dependent tasks

Parallel Adaptive Sampling with almost no Synchronization

Parallel Streaming Random Sampling

Cholesky and Gram-Schmidt Orthogonalization for Tall-and-Skinny QR Factorizations on Graphic Processors

Automatic exploration of reduced floating-point representations in iterative methods

Linear Systems Solvers for Distributed Memory Machines with GPU Accelerators

Radio-Astronomical Imaging: FPGAs vs GPUs.

Other Format:

Printed edition:

ISBN:

978-3-030-29400-7

9783030294007

Access Restriction:

Restricted for use by site license.