Rosni Abdullah
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PARALLEL MATRIX-MULTIPLICATION ALGORITHM ON NETWORK OF WORKSTATIONS Aminuddin, Rusdi Md; Abdullah, Rosni; Hassan, Suhaidi
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 4, No 2 (2004)
Publisher : Program Studi Statistika Unisba

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Abstract

Matrix multiplication is one of the important operations in scientific and engineering application. However, it is also one ofthe operations that are time consuming. Continuous researches have been conducted to improve this operation. One of thealternatives is to have the operation performed in parallel. However, these types of algorithms often carried out onexpensive supercomputers or multiprocessing systems. With the advancement of personal computers and networking, theuse of network of computers has become an advantage to the computing community. Although programming in suchenvironment is relatively harder compared to that of in shared memory multiprocessing environment, its advantagesoutweigh its complexity. In this paper, we introduce the concept of Network of Computers (NOW) or Cluster computingand present its advantages. We discuss matrix-multiplication algorithm and highlight one of the parallel matrixmultiplicationalgorithms. We present the comparison in terms of speed between serial algorithm and the parallel algorithmwhen we run them on our cluster. We end our discussion by outlining our future works.
PARALLEL MATRIX-MULTIPLICATION ALGORITHM ON NETWORK OF WORKSTATIONS Aminuddin, Rusdi Md.; Abdullah, Rosni; Hassan, Suhaidi
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 4, No 2 (2004)
Publisher : Program Studi Statistika Unisba

Show Abstract | Original Source | Check in Google Scholar | Full PDF (10.281 KB)

Abstract

Matrix multiplication is one of the important operations in scientific and engineering application. However, it is also one ofthe operations that are time consuming. Continuous researches have been conducted to improve this operation. One of thealternatives is to have the operation performed in parallel. However, these types of algorithms often carried out onexpensive supercomputers or multiprocessing systems. With the advancement of personal computers and networking, theuse of network of computers has become an advantage to the computing community. Although programming in suchenvironment is relatively harder compared to that of in shared memory multiprocessing environment, its advantagesoutweigh its complexity. In this paper, we introduce the concept of Network of Computers (NOW) or Cluster computingand present its advantages. We discuss matrix-multiplication algorithm and highlight one of the parallel matrixmultiplicationalgorithms. We present the comparison in terms of speed between serial algorithm and the parallel algorithmwhen we run them on our cluster. We end our discussion by outlining our future works.
Mathematics Curriculum Review by Advancing the Use of Learning Design Map and Subjects Classification Fathurrohman, Maman; Porter, Anne; Worthy, Annette; Abdullah, Rosni; Supriyanto, Supriyanto; Pamungkas, Aan Subhan
International Journal on Emerging Mathematics Education IJEME, Vol. 3 No. 1, March 2019
Publisher : Universitas Ahmad Dahlan

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Abstract

Curriculum review is a long process. Typically, the people responsible for these activities are one or two people (coordinators) who are responsible for this and it can be burdensome. Authors propose a new computer-based method for mathematics curriculum review by advancing the use of Learning Designs Maps (LDMaps). The LDMaps have already been developed by authors to document expected mathematics teaching and learning experiences as expected by curriculum. The proposed method can disperse the process allowing the responsible coordinators to conduct the simple task of collating available LDMaps for the review. In this paper, an example of mathematics curriculum review in counting mathematics subjects classification entries is presented.