Euro-Par 2018: Parallel Processing Workshops : Euro-Par 2018 International Workshops, Turin, Italy, August 27-28, 2018, Revised Selected Papers / edited by Gabriele Mencagli, Dora B. Heras, Valeria Cardellini, Emiliano Casalicchio, Emmanuel Jeannot, Felix Wolf, Antonio Salis, Claudio Schifanella, Ravi Reddy Manumachu, Laura Ricci, Marco Beccuti, Laura Antonelli, José Daniel Garcia Sanchez, Stephen L. Scott.

Format:

Book

Contributor:

Mencagli, Gabriele, editor.

B. Heras, Dora, editor.

Cardellini, Valeria, 1973- editor.

Casalicchio, Emiliano, editor.

Jeannot, Emmanuel, editor.

Wolf, Felix (Editor), editor.

Salis, Antonio, editor.

Schifanella, Claudio, editor.

Manumachu, Ravi Reddy, editor.

Ricci, Laura, editor.

Beccuti, Marco, editor.

Antonelli, Laura, editor.

García Sánchez, José Daniel, editor.

Scott, Stephen L., editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 11339.

Theoretical Computer Science and General Issues ; 11339

Language:

English

Subjects (All):

Computer organization.

Operating systems (Computers).

Logic design.

Computers.

Artificial intelligence.

Computer security.

Computer Systems Organization and Communication Networks.

Operating Systems.

Logic Design.

Information Systems and Communication Service.

Artificial Intelligence.

Systems and Data Security.

Local Subjects:

Computer Systems Organization and Communication Networks.

Operating Systems.

Logic Design.

Information Systems and Communication Service.

Artificial Intelligence.

Systems and Data Security.

Physical Description:

1 online resource (XVII, 841 pages) : 398 illustrations, 227 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 revised selected papers from the workshops held at 24th International Conference on Parallel and Distributed Computing, Euro-Par 2018, which took place in Turin, Italy, in August 2018. The 64 full papers presented in this volume were carefully reviewed and selected from 109 submissions. Euro-Par is an annual, international conference in Europe, covering all aspects of parallel and distributed processing. These range from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-edged applications, from architecture, compiler, language and interface design and implementation to tools, support infrastructures, and application performance aspects.

Contents:

Auto-DaSP - Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing

TPICDS: A Two-phase Parallel Approach for Incremental Clustering of Data Streams

Cost of Fault-tolerance on Data Stream Processing

Autonomic and Latency-Aware Degree of Parallelism Management in Spar

Consistency of the Fittest: Towards Dynamic Staleness Control for Edge Data Analytics

A Multi-level Elasticity Framework for Distributed Data Stream Processing

CBDP - Workshop on Container-based Systems for Big Data, Distributed and Parallel Computing

A Resource Allocation Framework with Qualitative and Quantitative SLA Classes

Automated Multi-Swarm Networking with Open Baton NFV MANO Framework

The Impact of the Storage Tier: A Baseline Performance Analysis of containerized DBMS

Towards Vertically Scalable Spark Applications

COLOC - Workshop on Data Locality

Progress Thread Placement for Overlapping MPI Non-Blocking Collectives using Simultaneous Multi-Threading

A Methodology for Handling Data Movements by Anticipation: Position Paper

Scalable Work-Stealing Load-Balancer for HPC Distributed Memory Systems

NUMAPROF, A NUMA Memory Profiler

ASPEN: An Efficient Algorithm for Data Redistribution Between Producer and Consumer Grids

Euro-EDUPAR - Workshop on Parallel and Distributed Computing Education for Undergraduate Students

Getting Started with CAPI SNAP: Hardware Development for Software Engineers

Studying the Structure of Parallel Algorithms as a Key Element of High-Performance Computing Education

From Mathematical Model to Parallel Execution to Performance Improvement: Introducing Students to a Workflow for Scientific Computing

Integrating Parallel Computing in the Curriculum of the University Politehnica of Bucharest

F2C-DP - Workshop on Fog-to-Cloud Distributed Processing

Benefits of a fog-to-cloud approach in proximity marketing

Multi-tenant Pub/Sub Processing for Real-time Data Streams

A Review of Mobility Prediction Models Applied in Cloud/Fog Environments

An Architecture for Resource Management in a Fog-to-Cloud Framework

Enhancing Service Management Systems with Machine Learning in Fog-to-Cloud Networks

A knowledge-based IoT Security Checker

MAD-C: Multi-stage Approximate Distributed Cluster-combining for obstacle detection and localization

FPDAPP - Workshop on Future Perspective of Decentralised Applications

A Suite of Tools for the Forensic Analysis of Bitcoin Transactions: Preliminary Report

On and Off-Blockchain Enforcement Of Smart Contracts

MaRSChain: Framework for a Fair Manuscript Review System Based on Permissioned Blockchain

Tamper-Proof Volume Tracking in Supply Chains with Smart Contracts

A blockchain based system to ensure transparency and reliability in food supply chain

Selecting Effective Blockchain Solutions

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

Evaluation through Realistic Simulations of File Replication Strategies for Large Heterogeneous Distributed Systems

Modeling and Optimizing data transfer in GPU-Accelerated Optical Coherence Tomography

A Modular Precision Format for decoupling Arithmetic Format and Storage Format

Benchmarking the NVIDIA V100 GPU and Tensor Cores

SiL: An Approach for Adjusting Applications to Heterogeneous Systems Under Perturbations

Merging the Publish-Subscribe Pattern with the Shared Memory Paradigm

Towards Application-Centric Parallel Memories

Fast Heuristic-Based GPU Compiler Sequence Specialization

Accelerating Online Change-Point Detection Algorithm using 10GbE FPGA NIC

OS-ELM-FPGA: An FPGA-Based Online Sequential Unsupervised Anomaly Detector

LSDVE - Workshop on Large Scale Distributed Virtual Environments

The Drivers Behind Blockchain Adoption: The Rationality of Irrational Choices

Field Experiment on the Performance of an Android-based Opportunistic Network

Distributed computation of mobility patterns in a smart city environment

Exploiting community detection to recommend privacy policies in Decentralized Online Social Networks

ComeHere: exploiting Ethereum for secure sharing of health-care data

Med-HPC - Workshop on Advances in High-Performance Bioinformatics, Systems Biology

BaaS - Bioinformatics as a Service

Disaggregating Non-Volatile Memory for Throughput-Oriented Genomics Workloads

GPU accelerated analysis of Treg-Teff cross regulation in relapsing-remitting multiple sclerosis

Cross-Environment comparison of a bioinformatics pipeline: perspectives for hybrid computations

High Performance Computing for Haplotyping: Models and Platforms

PCDLifeS - Workshop on Parallel and Distributed Computing for Life Sciences: Algorithms, Methodologies and Tools

Effect of Spatial Decomposition on the Efficiency of k Nearest Neighbors Search in Spatial Interpolation

Understanding chromatin structure: efficient computational implementation of polymer physics models

Towards Heterogeneous Network Alignment: Design and Implementation of a large-scale data processing framework

A Parallel Cellular Automaton Model For Adenocarcinomas in Situ with Java: Study of One Case

Performance evaluation for a PETSc Parallel-in-Time Solver based on MGRIT algorithm

RePara - Workshop on Reengineering for Parallelism in Heterogeneous Parallel Platforms

Programmable HSA Accelerators for Zynq UltraScale+ MPSoC Systems

Service Level Objectives via C++11 Attributes

InKS, a Programming Model to Decouple Performance from Semantics in HPC Codes

Refactoring Loops with Nested IFs for SIMD Extensions without Masked Instructions

Resilience - Workshop on Resiliency in High Performance Computing with Clouds, Grids, and Clusters

Do moldable applications perform better on failure-prone HPC platforms

FINJ: A Fault Injection Tool for HPC Systems

Performance Efficient Multiresilience using Checkpoint Recovery in Iterative Algorithms.

Other Format:

Printed edition:

ISBN:

978-3-030-10549-5

9783030105495

Access Restriction:

Restricted for use by site license.