Search: WFRF:(Edman Fredrik) >
Implementation of a...
Implementation of a Highly Scalable Architecture for Fast Inversion of Triangular Matrices
-
- Edman, Fredrik (author)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
-
- Öwall, Viktor (author)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
-
(creator_code:org_t)
- 2003
- 2003
- English.
-
In: ; , s. 1137-1140
- Related links:
-
http://ieeexplore.ie...
-
show more...
-
https://lup.lub.lu.s...
-
show less...
Abstract
Subject headings
Close
- In this paper, an F'F'GA implementation of a novel and highly scalable hardware architecture for fast inversion of triangular matrices is presented. An integral part of modem signal processing and communications applications involves manipulation of large matrices. Therefore, scalable and flexible hardware architectures are increasingly sought for. In this paper, the traditional triangular shaped array architecture with n(n+1)/2 communicating processors, with n being the number of inputs, is mapped to a linear structure with only n processors, The linear and the triangular shaped architectures are compared in aspect of area consumption, latencies, and maximum clocking speed. This paper also show that the linear array structure avoids drawhacks such as non-scalability, large area, and large power consumption. The implementation is based on a numerically stahle recurrence algorithm, which has excellent properties for hardware implementation.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Publication and Content Type
- kon (subject category)
- ref (subject category)
To the university's database