scholarly journals Preface

2020 ◽  
Vol 20 (6) ◽  
pp. 3-4
Author(s):  
Aneta Karaivanova ◽  
Svetozar Margenov
Keyword(s):  
High Performance Computing ◽  
Peer Review ◽  
High Performance ◽  
Information Technologies ◽  
State Of The Art ◽  
Scientific Journal ◽  
Special Issue ◽  
New Developments ◽  
Scalable Computing ◽  
Performance Computing

AbstractWe are pleased to present the special issue “New developments in scalable computing” of the scientific journal “Cybernetics and Information Technologies”. For this issue (Volume 20, No 6 – December 2020), we have selected 19 papers which have gone through peer review and represent novel results in the field of Scalable Computing using state-of-the-art high-performance computing infrastructures.

Parallelism in computational biology

2016 ◽  
Vol 32 (3) ◽  
pp. 317-320 ◽  
Author(s):  
Miguel A Vega-Rodríguez ◽  
Álvaro Rubio-Largo
Keyword(s):  
Computational Biology ◽  
High Performance Computing ◽  
High Performance ◽  
State Of The Art ◽  
International Workshop ◽  
Special Issue ◽  
High Quality ◽  
The Third ◽  
Points Of View ◽  
Performance Computing

Computational biology allows and encourages the application of many different parallelism-based technologies. This special issue brings together high-quality state-of-the-art contributions about parallelism-based technologies in computational biology, from different points of view or perspectives, that is, from diverse high-performance computing applications. The special issue collects considerably extended and improved versions of the best papers, accepted and presented in PBio 2015 (the Third International Workshop on Parallelism in Bioinformatics, and part of IEEE ISPA 2015 ). The domains and topics covered in these seven papers are timely and important, and the authors have done an excellent job of presenting the material.

scholarly journals Preface

2014 ◽  
Vol 17 (1) ◽  
Author(s):  
A. Marcela Printista ◽  
Carlos García Garino
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
State Of The Art ◽  
The State ◽  
Electronic Journal ◽  
Special Issue ◽  
Performance Computing

This Special Issue of CLEI Electronic Journal presents the invited contributions selected fromthe best evaluated papers presented in VI HPCLatAm 2013. These communications that havebeen conveniently extended and properly evaluated. In this way the selected papers are avaluable contributions to the development of high performance computing in Latin Americaand summarizes the state of the art of HPC in our region.

Architecture for the Integration of High Performance Computing Applications in PLM

2007 ◽  
Author(s):  
Reiner Anderl ◽  
Orkun Yaman
Keyword(s):  
Data Management ◽  
High Performance Computing ◽  
High Performance ◽  
State Of The Art ◽  
Reference Information ◽  
Simulation Domain ◽  
Architectural Framework ◽  
Industrial Context ◽  
Performance Computing ◽  
Integrate Data

High Performance Computing (HPC) has become ubiquitous for simulations in the industrial context. To identify the requirements for integration of HPC-relevant data and processes a survey has been conducted concerning the German car manufacturers and service and component suppliers. This contribution presents the results of the evaluation and suggests an architecture concept to integrate data and workflows related with CAE and HPC-facilities in PLM. It describes the state of the art of HPC-applications within the simulation domain. Intensive efforts are currently invested on CAE-data management. However, an approach to systematic data management of HPC does not exist. This study states importance of an integrating approach for data management of HPC-applications and develops an architectural framework to implement HPC-data management into the existing PLM landscape. Requirements on key functionalities and interfaces are defined as well as a framework for a reference information model is conceptualized.

Special Issue: High‐Performance Computing and Physics

Physics Today ◽  
1993 ◽  
Vol 46 (3) ◽  
pp. 22-22 ◽  
Author(s):  
Steven A. Orszag ◽  
Norman J. Zabusky
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Special Issue ◽  
Performance Computing
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