Real-time 3D Graphics rendering consumes significant power because of its very high computation and memory access rate. Due to variation in workload and perceptual tolerance, power-awareness can optimize this power consumption significantly, thus facilitating migration to future power-constrained devices such as PDAs, tablets, wearables, phones etc. This work proposes such a low power system ba...

In this paper a parallel implementation of the SVD{updating algorithm using approximate rotations is presented. In its original form the SVD{updating algorithm had numerical problems if no reorthogonalization steps were applied. Representing the orthogonal matrix V (right singular vectors) using its parameterization in terms of the rotation angles of n(n?1)=2 plane rotations these reorthogonali...

Faculty of Physical Sciences and Engineering, University of Southampton, United Kingdom, SO17 1BJ Email: [email protected] K. Maharatna Faculty of Physical Sciences and Engineering, University of Southampton, United Kingdom, SO17 1BJ Email: [email protected], Telephone: +44(0)2380599322 Abstract: In this paper we present a carry-save arithmetic (CSA) based Coordinate Rotation Digital Com...

Each coordinate rotation digital computer iteration selects the rotation direction by analyzing the results of the previous iteration. In this paper, we introduce two arctangent radices and show that about 2/3 of the rotation directions can be derived in parallel without any error. Some architectures exploiting these strategies are proposed.

The very earliest history of the CORDIC computing technique—a highly efficient method to compute elementary functions—is presented. The CORDIC technique was born out of necessity, the incentive being the replacement of the analog navigation computer of the B-58 aircraft by a high accuracy, high-performance digital computer. The revolutionary development of the CORDIC technique is presented, alo...

Singular value decomposition has been used in signal processing, image processing, principal component analysis, robotics and my other real time applications. These applications demand fast processing of large datasets. SVD needs large amount of computation. In this paper, we present the parallel implementation of Singular Value Decomposition in FGPA. SVD is implemented using two sided Jacobi a...