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Euro-Par 2017: Parallel Processing Workshops

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Table of Contents

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    Book Overview
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    Chapter 1 Moderated Resource Elasticity for Stream Processing Applications
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    Chapter 2 Container-Based Support for Autonomic Data Stream Processing Through the Fog
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    Chapter 3 NOA-AID: Network Overlays for Adaptive Information Aggregation, Indexing and Discovery at the Edge
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    Chapter 4 Nornir: A Customizable Framework for Autonomic and Power-Aware Applications
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    Chapter 5 Supporting Advanced Patterns in GrPPI, a Generic Parallel Pattern Interface
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    Chapter 6 A Topology and Traffic Aware Two-Level Scheduler for Stream Processing Systems in a Heterogeneous Cluster
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    Chapter 7 Stateful Load Balancing for Parallel Stream Processing
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    Chapter 8 Towards Memory-Optimal Schedules for SDF
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    Chapter 9 Towards Hierarchical Autonomous Control for Elastic Data Stream Processing in the Fog
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    Chapter 10 PiCo: A Novel Approach to Stream Data Analytics
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    Chapter 11 Viper: Communication-Layer Determinism and Scaling in Low-Latency Stream Processing
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    Chapter 12 Scalability and State: A Critical Assessment of Throughput Obtainable on Big Data Streaming Frameworks for Applications With and Without State Information
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    Chapter 13 Netloc: A Tool for Topology-Aware Process Mapping
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    Chapter 14 Runtime Support for Distributed Dynamic Locality
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    Chapter 15 Large-Scale Experiment for Topology-Aware Resource Management
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    Chapter 16 SCoPE@Scuola: (In)-formative Paths on Topics Related with High Performance, Parallel and Distributed Computing
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    Chapter 17 A Set of Patterns for Concurrent and Parallel Programming Teaching
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    Chapter 18 Integrating Parallel Computing in Introductory Programming Classes: An Experience and Lessons Learned
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    Chapter 19 Revisiting Flynn’s Classification: The Portfolio Approach
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    Chapter 20 Experience with Teaching PDC Topics into Babeş-Bolyai University’s CS Courses
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    Chapter 21 Cellular ANTomata: A Tool for Early PDC Education
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    Chapter 22 Teaching Software Transactional Memory in Concurrency Courses with Clojure and Java
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    Chapter 23 Benefits of a Coordinated Fog-to-Cloud Resources Management Strategy on a Smart City Scenario
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    Chapter 24 Fog and Cloud in the Transportation, Marine and eHealth Domains
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    Chapter 25 Scalable Linux Container Provisioning in Fog and Edge Computing Platforms
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    Chapter 26 A Hash-Based Naming Strategy for the Fog-to-Cloud Computing Paradigm
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    Chapter 27 An Architecture for Programming Distributed Applications on Fog to Cloud Systems
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    Chapter 28 Making Use of a Smart Fog Hub to Develop New Services in Airports
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    Chapter 29 Approximation Algorithm for Scheduling a Chain of Tasks on Heterogeneous Systems
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    Chapter 30 Software-Distributed Shared Memory over Heterogeneous Micro-server Architecture
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    Chapter 31 A High-Throughput Kalman Filter for Modern SIMD Architectures
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    Chapter 32 Resource Contention Aware Execution of Multiprocessor Tasks on Heterogeneous Platforms
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    Chapter 33 Hybrid CPU-GPU Simulation of Hierarchical Adaptive Random Boolean Networks
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    Chapter 34 Benchmarking Heterogeneous Cloud Functions
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    Chapter 35 Impact of Compiler Phase Ordering When Targeting GPUs
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    Chapter 36 Evaluating Scientific Workflow Execution on an Asymmetric Multicore Processor
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    Chapter 37 Operational Concepts of GPU Systems in HPC Centers: TCO and Productivity
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    Chapter 38 Large Scale Graph Processing in a Distributed Environment
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    Chapter 39 Appraising SPARK on Large-Scale Social Media Analysis
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    Chapter 40 A Spatial Analysis of Multiplayer Online Battle Arena Mobility Traces
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    Chapter 41 Long Transaction Chains and the Bitcoin Heartbeat
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    Chapter 42 Dynamic Community Analysis in Decentralized Online Social Networks
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    Chapter 43 Multi-objective Service Oriented Network Provisioning in Ultra-Scale Systems
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    Chapter 44 Understanding and Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics
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    Chapter 45 Pattern-Based Modeling of High-Performance Computing Resilience
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    Chapter 46 On the Resilience of Conjugate Gradient and Multigrid Methods to Node Failures
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    Chapter 47 It’s Not the Heat, It’s the Humidity: Scheduling Resilience Activity at Scale
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    Chapter 48 Data Partitioning Strategies for Stencil Computations on NUMA Systems
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    Chapter 49 Delivering Fairness on Asymmetric Multicore Systems via Contention-Aware Scheduling
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    Chapter 50 Powernightmares: The Challenge of Efficiently Using Sleep States on Multi-core Systems
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    Chapter 51 Help Your Busy Neighbors: Dynamic Multicasts over Static Topologies
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    Chapter 52 Accelerating the 3-D FFT Using a Heterogeneous FPGA Architecture
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    Chapter 53 Evaluation of a Floating-Point Intensive Kernel on FPGA
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    Chapter 54 Shallow Water Waves on a Deep Technology Stack: Accelerating a Finite Volume Tsunami Model Using Reconfigurable Hardware in Invasive Computing
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    Chapter 55 Linking Application Description with Efficient SIMD Code Generation for Low-Precision Signed-Integer GEMM
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    Chapter 56 A Formula-Driven Scalable Benchmark Model for ABM, Applied to FLAME GPU
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    Chapter 57 PhotoNoCs: Design Simulation Tool for Silicon Integrated Photonics Towards Exascale Systems
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    Chapter 58 On the Effects of Data-Aware Allocation on Fully Distributed Storage Systems for Exascale
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    Chapter 59 Efficient Implementation of Data Objects in the OSD+-Based Fusion Parallel File System
Overall attention for this book and its chapters
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Mentioned by

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7 tweeters

Citations

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Title
Euro-Par 2017: Parallel Processing Workshops
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-75178-8
ISBNs
978-3-31-975177-1, 978-3-31-975178-8
Editors

Dora B. Heras, Luc Bougé

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 14%
Researcher 2 14%
Student > Master 2 14%
Student > Ph. D. Student 2 14%
Professor 1 7%
Other 0 0%
Unknown 5 36%
Readers by discipline Count As %
Computer Science 6 43%
Engineering 2 14%
Nursing and Health Professions 1 7%
Unknown 5 36%