TY  - BOOK
AU  - Rivera,Francisco F.
AU  - Pena,Tomás F.
AU  - Cabaleiro,José C.
ED  - SpringerLink (Online service)
TI  - Euro-Par 2017: Parallel Processing: 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28 – September 1, 2017, Proceedings 
T2  - Theoretical Computer Science and General Issues
SN  - 9783319642031
AV  - QA76.7-76.73 
U1  - 005.13 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Programming languages (Electronic computers)
KW  - Algorithms
KW  - Computer programming
KW  - Architecture, Computer
KW  - Special purpose computers
KW  - Programming Languages, Compilers, Interpreters
KW  - Algorithm Analysis and Problem Complexity
KW  - Programming Techniques
KW  - Computer System Implementation
KW  - Special Purpose and Application-Based Systems
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-3-319-64203-1
ER  -