Demo Data from EDBT 2026 / reviewers in the wild / expert
Michael Fertig
dblp:97/2478
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Processor architecture and microarchitecture
instruction-level parallelism |
0.0 | 1 | 2003 | Dynamic Optimization of Micro-Operations · HPCA 2003 |
Processor architecture and microarchitecture › instruction set architecture › CISC
x86 |
0.0 | 1 | 2003 | Dynamic Optimization of Micro-Operations · HPCA 2003 |
Methods — techniques the papers use, named apart from their topics
trace-driven simulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Dynamic Optimization of Micro-OperationsabstractInherent 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 |
HPCA | 4 |