Programming Tools | ScienceGate

Model-based programming tools for integrated monitoring, simulation, diagnosis and control

10.2514/6.1993-4578 ◽

1993 ◽

Cited By ~ 1

Author(s):

Gabor Karsai ◽

Samir Padalkar ◽

Hubertus Franke ◽

Janos Sztipanovits

Keyword(s):

Integrated Monitoring ◽

Model Based ◽

Programming Tools ◽

And Control

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Middleware based on XML technologies for achieving true interoperability between PLC programming tools

IFAC Proceedings Volumes ◽

10.3182/20080706-5-kr-1001.01430 ◽

2008 ◽

Vol 41 (2) ◽

pp. 8461-8466

Author(s):

E. Estévez ◽

M. Marcos ◽

D. Orive ◽

F. López ◽

E. Irisarri ◽

...

Keyword(s):

Programming Tools ◽

Xml Technologies ◽

Plc Programming

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A Reconfigurable Platform and Programming Tools for High-Level Network Applications Demonstrated as a Hardware Honeypot

IEEE Journal on Selected Areas in Communications ◽

10.1109/jsac.2014.2358838 ◽

2014 ◽

Vol 32 (10) ◽

pp. 1919-1932 ◽

Cited By ~ 2

Author(s):

Sascha Muhlbach ◽

Andreas Koch

Keyword(s):

Network Applications ◽

Programming Tools ◽

Reconfigurable Platform ◽

High Level

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Educational computer programming tools

Proceedings of the Workshop on Open Source and Design of Communication - OSDOC '12 ◽

10.1145/2316936.2316947 ◽

2012 ◽

Author(s):

Martinha Piteira ◽

Carlos Costa ◽

Samir R. Haddad

Keyword(s):

Computer Programming ◽

Programming Tools ◽

Educational Computer

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Studying the Novice’s Perception of Visual Vs. Command Line Programming Tools in CS1

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181312561126 ◽

2012 ◽

Vol 56 (1) ◽

pp. 605-609

Author(s):

Edward Dillon ◽

Monica Anderson-Herzog ◽

Marcus Brown

Keyword(s):

Command Line ◽

Programming Tools

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Effects of programming tools with different degrees of embodiment on learning Boolean operations

Education and Information Technologies ◽

10.1007/s10639-021-10884-7 ◽

2022 ◽

Author(s):

Baichang Zhong ◽

Liying Xia ◽

Siyu Su

Keyword(s):

Boolean Operations ◽

Programming Tools

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Parallel Object-Oriented Computation Applied to a Finite Element Problem

Scientific Programming ◽

10.1155/1993/859092 ◽

1993 ◽

Vol 2 (4) ◽

pp. 133-144 ◽

Cited By ~ 2

Author(s):

Jon B. Weissman ◽

Andrew S. Grimshaw ◽

R.D. Ferraro

Keyword(s):

Finite Element ◽

Message Passing ◽

Large Scale ◽

Processing System ◽

Object Oriented ◽

Data Parallel ◽

Programming Tools ◽

Comparable Performance ◽

Oriented Parallel ◽

Performance Results

The conventional wisdom in the scientific computing community is that the best way to solve large-scale numerically intensive scientific problems on today's parallel MIMD computers is to use Fortran or C programmed in a data-parallel style using low-level message-passing primitives. This approach inevitably leads to nonportable codes and extensive development time, and restricts parallel programming to the domain of the expert programmer. We believe that these problems are not inherent to parallel computing but are the result of the programming tools used. We will show that comparable performance can be achieved with little effort if better tools that present higher level abstractions are used. The vehicle for our demonstration is a 2D electromagnetic finite element scattering code we have implemented in Mentat, an object-oriented parallel processing system. We briefly describe the application. Mentat, the implementation, and present performance results for both a Mentat and a hand-coded parallel Fortran version.

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