Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Terence K. Rodrigues

dblp:78/7993 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Processor architecture and microarchitecture · 50% Integrated circuit design · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Processor architecture and microarchitecture › arithmetic unit
arithmetic unit design
0.112010
Adaptive CORDIC: Using Parallel Angle Recoding to Accelerate Rotations · IEEE Trans. Computers 2010
Integrated circuit design › digital arithmetic circuits
CORDIC
0.112010
Adaptive CORDIC: Using Parallel Angle Recoding to Accelerate Rotations · IEEE Trans. Computers 2010

Methods — techniques the papers use, named apart from their topics

sections · 0.1parallel angle recoding · 0.1
YearPublicationVenuePosition
2010 Adaptive CORDIC: Using Parallel Angle Recoding to Accelerate Rotations
abstract
The CORDIC algorithm is used in the evaluation of a wide variety of elementary functions. It is a simple and elegant method, but it suffers from long latency. The Angle Recoding method is able to reduce the number of iterations by more than 50 percent, but its implementation in hardware requires a large increase in cycle time, to accommodate its complex angle selection function. This restricts its use to those cases where the angle of rotation is fixed and known in advance, so that the angle selection can be performed offline. This paper presents a simpler implementation of the angle selection scheme that does not require an increase in cycle time, thus allowing the Angle Recoding method to be used dynamically for arbitrary angles. The method also has the advantage that all the angle constants are found in parallel, in a single step, by testing only the initial rotation angle, without having to perform successive CORDIC iterations. This dynamic Angle Recoding method can be formulated to use ¿sections,¿ to limit the number of range comparators needed, to a reasonable value. There is an increase in the number of adaptive CORDIC iterations needed, but this problem can be mitigated by using a buffer in conjunction with the method of sections.
Terence K. Rodrigues, Earl E. Swartzlander Jr.
IEEE Trans. Computers1