Euro-Par 2017: Parallel Processing [electronic resource] : 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28 – September 1, 2017, Proceedings / edited by Francisco F. Rivera, Tomás F. Pena, José C. Cabaleiro.
Вид матеріалу:
Текст Серія: Theoretical Computer Science and General Issues ; 10417Публікація: Cham : Springer International Publishing : Imprint: Springer, 2017Видання: 1st ed. 2017Опис: XXXII, 725 p. 261 illus. online resourceТип вмісту: - text
- computer
- online resource
- 9783319642031
- Programming languages (Electronic computers)
- Algorithms
- Computer programming
- Architecture, Computer
- Special purpose computers
- Programming Languages, Compilers, Interpreters
- Algorithm Analysis and Problem Complexity
- Programming Techniques
- Computer System Implementation
- Special Purpose and Application-Based Systems
- 005.13 23
- QA76.7-76.73
- QA76.76.C65
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Support tools and environments -- Performance and power modeling, Prediction and evaluation -- Scheduling and load balancing -- High performance architectures and compilers -- Parallel and distributed data management and analytics -- Cluster and cloud computing -- Distributed systems and algorithms -- Parallel and distributed programming, Interfaces and languages -- Multicore and manycore parallelism -- Theory and algorithms for parallel computation and networking -- Parallel numerical methods and applications -- Accelerator computing.
This book constitutes the proceedings of the 23rd International Conference on Parallel and Distributed Computing, Euro-Par 2017, held in Santiago de Compostela, Spain, in August/September 2017. The 50 revised full papers presented together with 2 abstract of invited talks and 1 invited paper were carefully reviewed and selected from 176 submissions. The papers are organized in the following topical sections: support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; parallel and distributed data management and analytics; cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces and languages; multicore and manycore parallelism; theory and algorithms for parallel computation and networking; prallel numerical methods and applications; and accelerator computing.
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