Parallel algorithm animations provide graphical illustration of a parallel computer algorithm. Parallel algorithms can be difficult for students to understand, but it is possible with the right tools, to improve student's understanding of such algorithms. This paper presents specific detail for creating pedagogical visualizations of parallel algorithms for dense matrix operations on interconnection-network SIMD computers. Section 1 will discuss the motivation behind building visualizations of parallel algorithms for dense matrix operations on interconnection-network SIMD computers. Section 2 will explain exactly which parallel algorithms this paper addresses. Sections 3 & 4 will discuss many strategies that should be used when cre...
Journal ArticleThis paper introduces a methodology for mapping algorithmic description into a concur...
Methods for simulating multistage interconnection networks using massively parallel SIMD computers a...
Our aim in this book is to present and enlarge upon those aspects of parallel computing that are nee...
Visualization is believed to be an effective technique for learning and understanding algorithms in ...
The benefits of parallel computation particularly the speed factor has brought about the increasing ...
A tool activity diagram is presented. The tool facilitates parallel program development by providing...
Parallel computing on networks of workstations are intensively used in some application areas such a...
©1990 IEEE. We have constructed an animation tool called MaTRIX (Matrix TRace In X) for performance ...
We present our work on building interactive continuous visualisations of distributed algorithms for ...
Matrix multiplication is one of the important operations in scientific and engineering application. ...
Algorithms are often parallelized based on data dependence analysis manually or by means of parallel...
Parallel processing offers enhanced speed of execution to the user and facilitated by different appr...
An efficient algorithm for parallel acquisition of visualization data for large sparse matrices is p...
The main goal of this research is to use OpenMP, Posix Threads and Microsoft Parallel Patterns libra...
In this paper, we introduce a new tool, MatrixPro, intended for illustrating algorithms in action. O...
Journal ArticleThis paper introduces a methodology for mapping algorithmic description into a concur...
Methods for simulating multistage interconnection networks using massively parallel SIMD computers a...
Our aim in this book is to present and enlarge upon those aspects of parallel computing that are nee...
Visualization is believed to be an effective technique for learning and understanding algorithms in ...
The benefits of parallel computation particularly the speed factor has brought about the increasing ...
A tool activity diagram is presented. The tool facilitates parallel program development by providing...
Parallel computing on networks of workstations are intensively used in some application areas such a...
©1990 IEEE. We have constructed an animation tool called MaTRIX (Matrix TRace In X) for performance ...
We present our work on building interactive continuous visualisations of distributed algorithms for ...
Matrix multiplication is one of the important operations in scientific and engineering application. ...
Algorithms are often parallelized based on data dependence analysis manually or by means of parallel...
Parallel processing offers enhanced speed of execution to the user and facilitated by different appr...
An efficient algorithm for parallel acquisition of visualization data for large sparse matrices is p...
The main goal of this research is to use OpenMP, Posix Threads and Microsoft Parallel Patterns libra...
In this paper, we introduce a new tool, MatrixPro, intended for illustrating algorithms in action. O...
Journal ArticleThis paper introduces a methodology for mapping algorithmic description into a concur...
Methods for simulating multistage interconnection networks using massively parallel SIMD computers a...
Our aim in this book is to present and enlarge upon those aspects of parallel computing that are nee...