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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
Attention for Chapter 59: Efficient Implementation of Data Objects in the OSD+-Based Fusion Parallel File System
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Chapter title
Efficient Implementation of Data Objects in the OSD+-Based Fusion Parallel File System
Chapter number 59
Book title
Euro-Par 2017: Parallel Processing Workshops
Published by
Springer, Cham, August 2017
DOI 10.1007/978-3-319-75178-8_59
Book ISBNs
978-3-31-975177-1, 978-3-31-975178-8
Authors

Juan Piernas, Pilar González-Férez

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%