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Euro-Par 2022: Parallel Processing

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Cover of 'Euro-Par 2022: Parallel Processing'

Table of Contents

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    Book Overview
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    Chapter 1 CrossDBT: An LLVM-Based User-Level Dynamic Binary Translation Emulator
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    Chapter 2 MARTINI: The Little Match and Replace Tool for Automatic Application Rewriting with Code Examples
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    Chapter 3 Accurate Fork-Join Profiling on the Java Virtual Machine
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    Chapter 4 Characterization of Different User Behaviors for Demand Response in Data Centers
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    Chapter 5 On-the-Fly Calculation of Model Factors for Multi-paradigm Applications
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    Chapter 6 Relative Performance Projection on Arm Architectures
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    Chapter 7 Exploring Scheduling Algorithms for Parallel Task Graphs: A Modern Game Engine Case Study
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    Chapter 8 Decentralized Online Scheduling of Malleable NP-hard Jobs
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    Chapter 9 A Bi-Criteria FPTAS for Scheduling with Memory Constraints on Graphs with Bounded Tree-Width
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    Chapter 10 mCAP: Memory-Centric Partitioning for Large-Scale Pipeline-Parallel DNN Training
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    Chapter 11 Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models
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    Chapter 12 Accelerating Parallel Operation for Compacting Selected Elements on GPUs
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    Chapter 13 A Methodology to Scale Containerized HPC Infrastructures in the Cloud
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    Chapter 14 Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads
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    Chapter 15 Multi-objective Hybrid Autoscaling of Microservices in Kubernetes Clusters
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    Chapter 16 Two-Agent Scheduling with Resource Augmentation on Multiple Machines
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    Chapter 17 $$\mathtt {IP.LSH.DBSCAN}$$ IP . LSH . DBSCAN : Integrated Parallel Density-Based Clustering Through Locality-Sensitive Hashing
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    Chapter 18 GraphGuess : Approximate Graph Processing System with Adaptive Correction
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    Chapter 19 Deterministic Parallel Hypergraph Partitioning
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    Chapter 20 OmpSs-2@Cluster: Distributed Memory Execution of Nested OpenMP-style Tasks
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    Chapter 21 Generating Work Efficient Scan Implementations for GPUs the Functional Way
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    Chapter 22 Automatic Parallelization of Python Programs for Distributed Heterogeneous Computing
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    Chapter 23 A Hybrid Piece-Wise Slowdown Model for Concurrent Kernel Execution on GPU
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    Chapter 24 Accelerating Brain Simulations with the Fast Multipole Method
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    Chapter 25 High-Performance Spatial Data Compression for Scientific Applications
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Title
Euro-Par 2022: Parallel Processing
Published by
Springer International Publishing, August 2022
DOI 10.1007/978-3-031-12597-3
ISBNs
978-3-03-112596-6, 978-3-03-112597-3
Editors

Cano, José, Trinder, Phil

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