Euro-Par 2018: Parallel Processing
Springer International Publishing (Verlag)
978-3-319-96982-4 (ISBN)
Support Tools and Environments.- Automatic detection of synchronization errors in codes that target the Open Community Runtime.- A Methodology for Performance Analysis of Applications Using Multi-layer I/O.- Runtime Determinacy Race Detection for OpenMP Tasks.- Estimating the impact of external interference on application performance.- GT-Race: Graph Traversal based Data Race Detection for Asynchronous Many-Task Parallelism.- Performance and Power Modeling, Prediction and Evaluation.- Reducing GPU Register File Energy.- Taxonomist: Application Detection through Rich Monitoring Data.- Diagnosing Highly-Parallel OpenMP Programs With Aggregated Grain Graphs.- Characterization of smartphone governor strategies.- HPC Benchmarking: Scaling Right and Looking Beyond the Average.- Combined Vertical and Horizontal Autoscaling Through Model Predictive Control.- Scheduling and Load Balancing.- Early Termination of Failed HPC Jobs Through Machine and Deep Learning.- Peacock: Probe-Based Scheduling of Jobs by Rotating Between Elastic Queues.- Online Scheduling of Task Graphs on Hybrid Platforms.- Interference-Aware Scheduling using Geometric Constraints.- Resource-efficient execution of conditional parallel real-time tasks.- High Performance Architectures and Compilers.- Improving GPU Cache Hierarchy Performance with a Fetch and Replacement Cache.- Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms.- Using Dynamic Compilation to achieve Ninja Performance for CNN training on Many-Core Processors.- Parallel and Distributed Data Management and Analytics.- Privacy-Preserving Top-k Query Processing in Distributed Systems.- Minimizing Network Traffic for Distributed Joins Using Lightweight Locality-Aware Scheduling.- Cluster and Cloud Computing.- VIoLET: A Large-scale Virtual Environment for Internet of Things.- Adaptive Bandwidth-Efficient Recovery Techniques in Erasure-Coded Cloud Storage Systems.- IT Optimization for Datacenters Under Renewable PowerConstraint.- GPU Provisioning: The 80 - 20 Rule.- ECSched: Efficient Container Scheduling on Heterogeneous Clusters.- Combinatorial Auction Algorithm Selection for Cloud Resource Allocation using Machine Learning.- Cloud Federation Formation in Oligopolistic Markets.- Improving Cloud Simulation using the Monte-Carlo Method.- Distributed Systems and Algorithms.- Nobody cares if you liked Star Wars: KNN graph construction on the cheap.- One-Sided Communications for more Efficient Parallel State Space Exploration over RDMA Clusters.- Robust Decentralized Mean Estimation with Limited Communication.- Parallel and Distributed Programming, Interfaces, and Languages.- Snapshot-based Synchronization: A Fast Replacement for Hand-over-Hand Locking.- Measuring Multi-threaded Message Matching Misery.- Global-Local View: Scalable Consistency for Concurrent Data Types.- OpenABL: A Domain-Specific Language for Parallel and Distributed Agent-Based Simulations.- Bulk: a Modern C++ Interface for Bulk-Synchronous Parallel Programs.- SharP Unified Memory Allocator: An Intent-based Memory Allocator for Extreme-scale Systems.- Multi-Granularity Locking in Hierarchies with Synergistic Hierarchical and Fine-Grained Locks.- Efficient Communication/Computation Overlap with MPI+OpenMP Runtimes Collaboration.- Multicore and Manycore Methods and Tools.- Efficient Lock-Free Removing and Compaction for the Cache-Trie Data Structure.- NUMA Optimizations for Algorithmic Skeletons.- Improving System Turnaround Time with Intel CAT by Identifying LLC Critical Applications.- Dynamic Placement of Progress Thread for Overlapping MPI Non-Blocking Collectives on Manycore Processor.- Load balancing strategies for graph traversal applications on GPUs.- Energy Efficient Stencil Computations on the Low-Power Manycore MPPA-256 Processor.- Theory and Algorithms for Parallel Computation and Networking.- High-Quality Shared-Memory Graph Partitioning.- Design Principles for Sparse Matrix Multiplication on the GPU.-Di
| Erscheinungsdatum | 03.08.2018 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
| Zusatzinfo | XLIV, 829 p. 324 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1298 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge |
| Schlagworte | Applications • Artificial Intelligence • Cloud Computing • cluster and cloud computing • Computer Networks • Computer Science • conference proceedings • high-performance computing (HPC) • Informatics • Internet • multi-core processor • parallel processing systems • Parallel Programming • performance modeling • power modelling • Processors • Programming Languages • programming models • Research • Routers • Semantics • shared memories • Telecommunication networks • telecommunication traffic |
| ISBN-10 | 3-319-96982-X / 331996982X |
| ISBN-13 | 978-3-319-96982-4 / 9783319969824 |
| Zustand | Neuware |
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