Hugendubel.info - Die B2B Online-Buchhandlung 

Merkliste
Die Merkliste ist leer.
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

Euro-Par 2020: Parallel Processing

26th International Conference on Parallel and Distributed Computing, Warsaw, Poland, August 24-28, 2020, Proceedings
BuchKartoniert, Paperback
646 Seiten
Englisch
Springererschienen am16.08.20201st ed. 2020
This book constitutes the proceedings of the 26th International Conference on Parallel and Distributed Computing, Euro-Par 2020, held in Warsaw, Poland, in August 2020. They deal with parallel and distributed computing in general, focusing on support tools and environments; theory and algorithms for parallel and distributed processing;mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR53,49
E-BookPDF1 - PDF WatermarkE-Book
EUR53,49

Produkt

KlappentextThis book constitutes the proceedings of the 26th International Conference on Parallel and Distributed Computing, Euro-Par 2020, held in Warsaw, Poland, in August 2020. They deal with parallel and distributed computing in general, focusing on support tools and environments; theory and algorithms for parallel and distributed processing;
Details
ISBN/GTIN978-3-030-57674-5
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2020
Erscheinungsdatum16.08.2020
Auflage1st ed. 2020
ReiheTheoretical Computer Science and General Issues
Seiten646 Seiten
SpracheEnglisch
IllustrationenXLIII, 646 p. 492 illus., 192 illus. in color.
Artikel-Nr.48972526

Inhalt/Kritik

Inhaltsverzeichnis
Support Tools and Environments.- Skipping Non-essential Instructions Makes Data-dependence Profiling Faster.- A Toolchain to Verify the Parallelization of OmpSs-2 Applications.- Performance and Power Modeling, Prediction and Evaluation.- Towards a Model to Estimate the Reliability of Large-scale Hybrid Supercomputers.- A Learning-Based Approach for Evaluating the Capacity of Data Processing Pipelines.- Operation-Aware Power Capping.- A Comparison of the Scalability of OpenMP Implementations.- Evaluating the Effectiveness of a Vector-Length-Agnostic Instruction Set.- Scheduling and Load Balancing.- Parallel Scheduling of Data-Intensive Tasks.- A Makespan Lower Bound for the Scheduling of the Tiled Cholesky Factorization Based on ALAP Scheduling.- Optimal GPU-CPU Offloading Strategies for Deep Neural Network Training.- Improving mapping for sparse direct solvers: A trade-off between data locality and load balancing.- High Performance Architectures and Compilers.- Modelling Standard and Randomized Slimmed Folded Clos Networks.- OmpMemOpti: Optimized Memory Movement for Heterogeneous Computing.- Data Management, Analytics and Machine Learning.- Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs.- Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing.- Optimizing FFT-based convolution on ARMv8 multi-core CPUs.- Maximizing I/O Bandwidth for Reverse Time Migration on Heterogeneous Large-Scale Systems.- Cluster, Cloud and Edge Computing.- TorqueDB: Distributed Querying of Time-series Data from Edge-local Storage.- Data-Centric Distributed Computing on Networks Mobile Devices.- WPSP: a multi-correlated weighted policy for VM selection and migration for Cloud computing.- Theory and Algorithms for Parallel and Distributed Processing.- LCP-Aware Parallel String Sorting.- Mobile RAM and Shape Formation by Programmable Particles.- Approximation Algorithm for Estimating Distances in Distributed Virtual Environments.- On the Power of Randomization in Distributed Algorithms in Dynamic Networks with Adaptive Adversaries.- 3D Coded SUMMA: Communication-Efficient and Robust Parallel Matrix Multiplication.- Parallel and Distributed Programming, Interfaces, and Languages.- Managing Failures in task-based parallel workflows in distributed computing environments.- Accelerating Nested Data Parallelism: Preserving Regularity.- Using Dynamic Broadcasts to improve Task-Based Runtime Performances.- A Compression-Based Design for Higher Throughput in a Lock-Free Hash Map.- Multicore and Manycore Parallelism.- NVPhTM: An Efficient Phase-Based Transactional System for Non-Volatile Memory.- Enhancing Resource Management through Prediction-based Policies.- Accelerating Overlapping Community Detection: Performance Tuning a Stochastic Gradient Markov Chain Monte Carlo Algorithm.- Parallel Numerical Methods andApplications.- A Prediction Framework for Fast Sparse Triangular Solves.- Multiprecision block-Jacobi for Iterative Triangular Solves.- Efficient Ephemeris Models for Spacecraft Trajectory Simulations on GPUs.- Parallel Finite Cell Method with Adaptive Geometric Multigrid.- Accelerator Computing.- cuDTW++: Ultra-Fast Dynamic Time Warping on CUDA-enabled GPUs.- Heterogeneous CPU+iGPU Processing for Efficient Epistasis Detection.- SYCL-Bench: A Versatile Single-Source Benchmark Suite for Heterogeneous Computing.mehr

Schlagworte