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

Michael Fertig

dblp:97/2478 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2003
—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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Processor architecture and microarchitecture · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Processor architecture and microarchitecture
instruction-level parallelism
0.012003
Dynamic Optimization of Micro-Operations · HPCA 2003
Processor architecture and microarchitecture › instruction set architecture › CISC
x86
0.012003
Dynamic Optimization of Micro-Operations · HPCA 2003

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

trace-driven simulation · 0.0
YearPublicationVenuePosition
2003 Dynamic Optimization of Micro-Operations
abstract
Inherent within complex instruction set architectures such as /spl times/86 are inefficiencies that do not exist in a simpler ISA. Modern /spl times/86 implementations decode instructions into one or more micro-operations in order to deal with the complexity of the ISA. Since these micro-operations are not visible to the compiler the stream of micro-operations can contain redundancies even in statically optimized /spl times/86 code. Within a processor implementation, however barriers at the ISA level do not apply, and these redundancies can be removed by optimizing the micro-operation stream. In this paper we explore the opportunities to optimize code at the micro-operation granularity. We execute these micro-operation optimizations using the rePLay Framework as a microarchitectural substrate. Using a simple set of seven optimizations, including two that aggressively and speculatively attempt to remove redundant load instructions, we examine the effects of dynamic optimization of micro-operations using a trace-driven simulation environment. Simulation reveals that across a sampling of SPECint 2000 and real /spl times/86 applications, rePLay is able to reduce micro-operation count by 21% and, in particular load micro-operation count by 22%. These reductions correspond to a boost in observed instruction-level parallelism on an 8-wide optimizing rePLay processor by 17% over a non-optimizing configuration.
Brian Slechta, David Crowe, Brian Fahs, Michael Fertig, Gregory A. Muthler, Justin Quek, Francesco Spadini, Sanjay J. Patel, Steven S. Lumetta
HPCA4