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

K. M. Reddy

dblp:97/5638 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 1995
—ORCID · unresolved

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

Systems, architecture and hardware · 1

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.

Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%

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

TopicWeightPapersLastEvidence papers
Compilers and program optimization › instruction scheduling › software pipelining
modulo scheduling
0.011995
Petri net versus modulo scheduling for software pipelining · MICRO 1995
Compilers and program optimization › instruction scheduling
software pipelining
0.011995
Petri net versus modulo scheduling for software pipelining · MICRO 1995

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

petri nets · 0.0
YearPublicationVenuePosition
1995 Petri net versus modulo scheduling for software pipelining
abstract
Software pipelining is a technique that reforms the loop to improve execution time. Iterations are executed in overlapped fashion to increase parallelism. Modulo scheduling places each operation so that the schedule is legal when replicated and offset by a target initiation interval. This process is repeated with larger initiation intervals until success is achieved. Kernel recognition methods schedule operations as rapidly as possible until a pattern is recognized. These two distinctly different methods have various strengths and weaknesses. This paper explores the benefits and draw-backs of each.
Vicki H. Allan, U. R. Shah, K. M. Reddy
MICRO3