Performance Analysis of Linear Algebraic Functions using Reconfigurable Computing
Issam Damaj (1), Hassan Diab (2) ((1) London South Bank University,, (2) American University of Beirut)
TL;DR
This paper evaluates the performance of new mapping techniques for linear algebraic and geometrical transformation functions on the MorphoSys reconfigurable system, demonstrating their efficiency through simulation and analysis.
Contribution
It introduces novel mapping methods for geometrical transformations on the MorphoSys RC system and assesses their performance with numerical validation.
Findings
New mapping techniques improve transformation performance on M1 system
Simulation confirms the efficiency of the proposed algorithms
Performance analysis provides insights into RC system capabilities
Abstract
This paper introduces a new mapping of geometrical transformation on the MorphoSys (M1) reconfigurable computing (RC) system. New mapping techniques for some linear algebraic functions are recalled. A new mapping for geometrical transformation operations is introduced and their performance on the M1 system is evaluated. The translation and scaling transformation addressed in this mapping employ some vector-vector and vector-scalar operations [6-7]. A performance analysis study of the M1 RC system is also presented to evaluate the efficiency of the algorithm execution. Numerical examples were simulated to validate our results, using the MorphoSys mULATE program, which emulates M1 operations.
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