HIGH-LEVEL PARALLEL SOFTWARE DEVELOPMENT WITH PYTHON AND BSP

2003 ◽  
Vol 13 (03) ◽  
pp. 473-484 ◽  
Author(s):  
KONRAD HINSEN
Keyword(s):  
Parallel Computing ◽  
Software Development ◽  
Parallel Computation ◽  
Programming Language ◽  
Rapid Development ◽  
Parallel Programs ◽  
Computational Science ◽  
Computation Model ◽  
High Level ◽  
Parallel Software Development

One of the main obstacles to a more widespread use of parallel computing in computational science is the difficulty of implementing, testing, and maintaining parallel programs. The combination of a simple parallel computation model, BSP, and a high-level programming language, Python, simplifies these tasks significantly. It allows the rapid development facilities of Python to be applied to parallel programs, providing interactive development as well as interactive debugging of parallel programs.

scholarly journals Comparison of Serial and Parallel Computation on Predicting Missing Data with EM Algorithm

2021 ◽  
Vol 18 (1) ◽  
pp. 22-30
Author(s):  
Erna Nurmawati ◽  
Robby Hasan Pangaribuan ◽  
Ibnu Santoso
Keyword(s):  
Parallel Computing ◽  
Missing Data ◽  
Data Processing ◽  
Em Algorithm ◽  
Parallel Computation ◽  
Incomplete Data ◽  
Parallel Programs ◽  
Missing Value ◽  
Speed Up ◽  
Compute Time

One way to deal with the presence of missing value or incomplete data is to impute the data using EM Algorithm. The need for large and fast data processing is necessary to implement parallel computing on EM algorithm serial program. In the parallel program architecture of EM Algorithm in this study, the controller is only related to the EM module whereas the EM module itself uses matrix and vector modules intensively. Parallelization is done by using OpenMP in EM modules which results in faster compute time on parallel programs than serial programs. Parallel computing with a thread of 4 (four) increases speed up, reduces compute time, and reduces efficiency when compared to parallel computing by the number of threads 2 (two).

scholarly journals On Rapid Development of Reactive Wireless Sensor Systems

2019 ◽  
Vol 1 (1) ◽  
pp. 574-582
Author(s):  
Paweł Gburzyński ◽  
Elżbieta Kopciuszewska
Keyword(s):  
Operating System ◽  
Software Development ◽  
Programming Language ◽  
Independent Living ◽  
Rapid Development ◽  
Wireless Sensor ◽  
Sensors And Actuators ◽  
Execution Platform ◽  
Small Footprint ◽  
Set Up

AbstractWe present a software platform for designing and testing wireless networks of sensors and actuators (WSNs). The platform consists of three components: an operating system for small-footprint microcontrollers (dubbed PicOS), a software development kit (SDK) amounting to a C-based, event-oriented (reactive) programming language, and a virtual execution platform (VUE2) capable of emulating complete deployment environments for WSNs and thus facilitating their rapid development.1 Its most recent incarnation introduced in the present paper is a component of the WSN lab being currently set up at Vistula in collaboration with Olsonet Communications Corporation.2 We highlight the platform’s most interesting features within the context of a production WSN installed at independent-living facilities.

Analysis of Buffer Overflow Exploits and Prevention Strategies

2014 ◽  
Vol 513-517 ◽  
pp. 1701-1704 ◽  
Author(s):  
Shu Xin Xu ◽  
Jun Zhang Chen
Keyword(s):  
Network Security ◽  
Software Development ◽  
Programming Language ◽  
Rapid Development ◽  
Buffer Overflow ◽  
Network Technology ◽  
Prevention Strategies ◽  
General Process ◽  
Security Issues ◽  
Network Applications

With the rapid development of network technology and the emergence of a variety of applications,network security issues became the top priority of the network applications. This article first explains the concept of buffer overflow,and then from the programming language itself flawed,not robust perspective on the emergence,to the emergence of buffer overflow attacks and principle are analyzed in detail,described hackers using buffer overflow attacks the general process,and according to the type of buffer overflow attacks,software development and program runs from two aspects of proposed buffer overflow attack prevention strategy.

scholarly journals Evolution of Visualization Methods for Research Publication Collections

2020 ◽  
Vol 23 (4) ◽  
pp. 788-807
Author(s):  
Alexander Ivanovich Legalov ◽  
Igor Alexandrovich Legalov ◽  
Ivan Vasilievich Matkovsky
Keyword(s):  
Parallel Computing ◽  
Parallel Programming ◽  
Programming Language ◽  
Functional Model ◽  
Parallel Programs ◽  
Instrumental Support ◽  
Static System ◽  
Research Publication ◽  
Computing Systems ◽  
Static Typing

It is proposed to add a static system of types to the dataflow functional model of parallel computing and the dataflow functional parallel programming language developed on its basis. The use of static typing increases the possibility of transforming dataflow functional parallel programs into programs running on modern parallel computing systems. Language constructions are proposed. Their syntax and semantics are described. It is noted that the need to use the single assignment principle in the formation of data storages of a particular type. The features of instrumental support of the proposed approach are considered.

scholarly journals On the Performance of the Python Programming Language for Serial and Parallel Scientific Computations

2005 ◽  
Vol 13 (1) ◽  
pp. 31-56 ◽  
Author(s):  
Xing Cai ◽  
Hans Petter Langtangen ◽  
Halvard Moe
Keyword(s):  
Programming Language ◽  
Numerical Experiments ◽  
Parallel Programs ◽  
Scientific Applications ◽  
Language Implementation ◽  
Parallel Performance ◽  
Python Programming Language ◽  
Programming Techniques ◽  
High Level ◽  
Python Programming

This article addresses the performance of scientific applications that use the Python programming language. First, we investigate several techniques for improving the computational efficiency of serial Python codes. Then, we discuss the basic programming techniques in Python for parallelizing serial scientific applications. It is shown that an efficient implementation of the array-related operations is essential for achieving good parallel performance, as for the serial case. Once the array-related operations are efficiently implemented, probably using a mixed-language implementation, good serial and parallel performance become achievable. This is confirmed by a set of numerical experiments. Python is also shown to be well suited for writing high-level parallel programs.

scholarly journals Software complex for modeling and optimization of program implementation on parallel calculation systems

2018 ◽  
Vol 8 (1) ◽  
pp. 228-234
Author(s):  
Valery Bakanov
Keyword(s):  
Parallel Computing ◽  
Programming Language ◽  
Program Implementation ◽  
Parallel Programs ◽  
Software Environment ◽  
Computing Systems ◽  
Plan Execution ◽  
Modeling And Optimization ◽  
Software Complex

Abstract The paper considers the problem of developing rational methods for the creation of a framework (a plan, execution timetable) of parallel programs for real parallel computing systems. To solve this problem, a software environment (software stand) has been developed that allows implementing different strategies for building a framework for parallel programs and assessing the quality of these strategies. The built-in script Lua programming language is used to increase the flexibility of modeling and optimization capabilities. Results of applying some of the proposed strategies for constructing rational plans for parallel programming are outlined.

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