Towards high-level programming support for scientific computing on clusters

2001 ◽  
Author(s):  
H.P. Zima
Keyword(s):  
Scientific Computing ◽  
Programming Support ◽  
High Level

A framework for architecting and high-level programming support of CORBA applications

2004 ◽  
Vol 64 (6) ◽  
pp. 725-739 ◽  
Author(s):  
Jiannong Cao ◽  
Min Cao ◽  
Alvin S.T. Chan ◽  
Gengfeng Wu ◽  
Sajal K. Das
Keyword(s):  
Programming Support ◽  
High Level

The Simulation Investigation of Matlab in Intelligent Control Course

2014 ◽  
Vol 511-512 ◽  
pp. 648-651
Author(s):  
Mei Yang ◽  
Man Hua Li ◽  
Ren Xiu Qu ◽  
Zhi Gang Zhang
Keyword(s):  
Intelligent Control ◽  
Scientific Computing ◽  
High Level Language ◽  
High Level

Matlab is the most popular high-level language in the engineering, scientific computing and mathemsatical analysis. In this paper, the content and characteristics of Matlab are introduced and the simulation and applications study are described in teaching of the intelligent control course.

scholarly journals Scientific Computing on the Itanium® Processor

2002 ◽  
Vol 10 (4) ◽  
pp. 329-337 ◽  
Author(s):  
Bruce Greer ◽  
John Harrison ◽  
Greg Henry ◽  
Wei Li ◽  
Peter Tang
Keyword(s):  
Linear Algebra ◽  
High Performance ◽  
Scientific Computing ◽  
Peak Performance ◽  
Low Level ◽  
Architectural Features ◽  
Transcendental Functions ◽  
High Performance Computer ◽  
High Level ◽  
Engineering Computing

The 64-bit Intel® Itanium® architecture is designed for high-performance scientific and enterprise computing, and the Itanium processor is its first silicon implementation. Features such as extensive arithmetic support, predication, speculation, and explicit parallelism can be used to provide a sound infrastructure for supercomputing. A large number of high-performance computer companies are offering Itanium® -based systems, some capable of peak performance exceeding 50 GFLOPS. In this paper we give an overview of the most relevant architectural features and provide illustrations of how these features are used in both low-level and high-level support for scientific and engineering computing, including transcendental functions and linear algebra kernels.

Evaluating high level parallel programming support for irregular applications in ICC++

1998 ◽  
Vol 28 (11) ◽  
pp. 1213-1243 ◽  
Author(s):  
Andrew A. Chien ◽  
Julian Dolby ◽  
Bishwaroop Gangul ◽  
Vijay Karamcheti ◽  
Xingbin Zhang
Keyword(s):  
Parallel Programming ◽  
Irregular Applications ◽  
Programming Support ◽  
High Level

scholarly journals An Investigation of the Role Programming Support Services Have for Mature Students.

2020 ◽  
Author(s):  
Keith Nolan ◽  
Aidan Mooney ◽  
Amy Thompson ◽  
Mark Noone
Keyword(s):  
Computer Science ◽  
Support Services ◽  
Support Service ◽  
Future Research ◽  
Common Trend ◽  
Science Domain ◽  
Programming Support ◽  
High Level ◽  
Intensive Course ◽  
Programming Ability

Programming support services for introductory programmers have seen a rise in popularity in recent years with third level institutions around the world providing “safe spaces” for students to practice their programming skills and get supports without the risk of being judged by anyone. These services appear in many different structures including Support Centres, Software Studios and help desks. The common trend however is that all the users of these services, in general, report that the service has helped them in their studies and garnered them with more confidence in their ability. This paper examines the role which our Computer Science Centre played for students who attended the support service during an intensive higher diploma course. The intensive course is a 3-week course tailored to students who have previously completed a degree in a field not related to CS, and covers CS1 and CS2 material. The structure and design of the support service is outlined in this paper along with the supports offered. A high-level survey was conducted to investigate the effect of the service on students programming self-efficacy. Study design and methodology are described in detail. Early findings suggest that the support services offered to these students improved their belief in their own programming ability which in turn improved their exam grade outcome. The findings provide valuable evidence to justify future research into the functions of support services with the computer science domain.

scholarly journals Using the High-Level Based Program Interface to Facilitate the Large Scale Scientific Computing

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yizi Shang ◽  
Ling Shang ◽  
Chuanchang Gao ◽  
Guiming Lu ◽  
Yuntao Ye ◽  
...  
Keyword(s):  
Large Scale ◽  
Scientific Computing ◽  
Scientific Applications ◽  
Desktop Grid ◽  
Migration Mechanism ◽  
Block Based ◽  
High Level ◽  
Scientific Platform ◽  
Program Interface ◽  
Grid Platform

This paper is to make further research on facilitating the large-scale scientific computing on the grid and the desktop grid platform. The related issues include the programming method, the overhead of the high-level program interface based middleware, and the data anticipate migration. The block based Gauss Jordan algorithm as a real example of large-scale scientific computing is used to evaluate those issues presented above. The results show that the high-level based program interface makes the complex scientific applications on large-scale scientific platform easier, though a little overhead is unavoidable. Also, the data anticipation migration mechanism can improve the efficiency of the platform which needs to process big data based scientific applications.

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