Big data and HPC ecosystem and convergence / edited by Lucio Grandinetti, Seyedeh Leili Mirtaheri, Reza Shahbazian, Thomas Sterling, and Vladimir Voevodin.

Format Electronic
Publication InfoAmsterdam : IOS Press, [2018]
Descriptionviii, 325 pages : illustrations ; 24 cm.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects
Big data--Congresses.
High performance computing--Congresses.

Other author/creatorGrandinetti, Lucio, 1941-
Other author/creatorMirtaheri, Seyedeh Leili.
Other author/creatorShahbazian, Reza.
Other author/creatorSterling, Thomas.
Other author/creatorVoevodin, Vladimir.
SeriesAdvances in parallel computing, 0927-5452 ; volume 33
Advances in parallel computing ; v. 33. 0927-5452 ^A269428
Contents Intro; Title Page; Preface; Contents; State of the Art and Future Scenarios; Runtime System Architecture for Dynamic Adaptive Execution; High Performance Computing and Big Data Convergence: A Technical Review; Challenges in HPC Evaluation: Towards a Methodology for Scientific Application Requirements; Scaling Big Data Neuroscience: From Interactive Analytics to HPC Platforms; Big Data Challenges; CBIR on Big Data by Use of Deep Learning; APPGRIT: A Parallel Pipeline for Graph Representation in Text Mining; Introduction and Patent Analysis of Signal Processing for Big Data.
Contents Analysis and Design of IoT Based Physical Location Monitoring SystemAutonomous Task Scheduling for Fast Big Data Processing; Adaptive Resource Management for Distributed Data Analytics; HPC Challenges; High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication; Final Parallel and Distributed Computing Assignment for Master Students: Description of the Properties and Parallel Structure of Algorithms; Parallel Motion Estimation Based on GPU and Combined GPU-CPU; GPU-Based Iterative Hill Climbing Algorithm to Solve Symmetric Traveling Salesman Problem.
Contents Reliability-Aware Voltage Scaling of Multicore Processors in Dark Silicon EraTime Collection: An Abstraction for Shared Objects in Parallel Programming; Parallel and Distributed Analysis of Microarray Data; Extracting Distributed Architecture from Source Code Using an Evolutionary Approach; An Architectural Approach to Grid Provisioning; Subject Index; Author Index.
General noteSelected papers from the TopHPC2017 congress on Advances in High-Performance Computing and Big Data Analytics in the Exascale Era, held in Tehran, Iran, in April 2017.
Bibliography noteIncludes bibliographical references.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2018952148
ISBN9781614998815
ISBN1614998817