Parallel Computing Education Through Simulation

We conducted the first national survey of computing education at Japanese universities in 2016. In this paper, we report the survey result of the computing education at non-IT departments and faculties whose major subject is not computing. The survey covers various aspects of computing education including program organization, quality and quantity of educational achievement, students, teaching staff and computing environment. We collected 994 answers through the survey. At least 87,000 non-ICT students are taking computing education in Japan. Although computing education is carried out at every major academic discipline, teaching effort greatly differs depending on the academic discipline. We also find shortage of teaching staff for computing education. The analysis result will be an essential input to develop reasonable curriculum guidelines and accreditation criteria to improve computing education at non-IT departments.

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Methods and Technologies of Parallel Computing for Mathematical Modeling of Stress-Strain State of Constructions Taking into Account Ductile Fracture

Journal of Automation and Information Sciences ◽

10.1615/jautomatinfscien.v46.i11.30 ◽

2014 ◽

Vol 46 (11) ◽

pp. 23-35 ◽

Cited By ~ 6

Author(s):

Elena A. Velikoivanenko ◽

Alexey S. Milenin ◽

Alexander V. Popov ◽

Vladimir A. Sidoruk ◽

Alexander N. Khimich

Keyword(s):

Mathematical Modeling ◽

Parallel Computing ◽

Ductile Fracture ◽

Strain State ◽

Stress Strain ◽

Stress Strain State

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Matlab and Parallel Computing

Image Processing & Communications ◽

10.2478/v10248-012-0048-5 ◽

2012 ◽

Vol 17 (4) ◽

pp. 207-216 ◽

Cited By ~ 5

Author(s):

Magdalena Szymczyk ◽

Piotr Szymczyk

Keyword(s):

Image Processing ◽

Signal Processing ◽

Parallel Computing ◽

Distributed Computing ◽

Control Systems ◽

High Performance ◽

Parallel Applications ◽

Process Simulations ◽

Key Features ◽

Financial Process

Abstract The MATLAB is a technical computing language used in a variety of fields, such as control systems, image and signal processing, visualization, financial process simulations in an easy-to-use environment. MATLAB offers "toolboxes" which are specialized libraries for variety scientific domains, and a simplified interface to high-performance libraries (LAPACK, BLAS, FFTW too). Now MATLAB is enriched by the possibility of parallel computing with the Parallel Computing ToolboxTM and MATLAB Distributed Computing ServerTM. In this article we present some of the key features of MATLAB parallel applications focused on using GPU processors for image processing.

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