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Qudus B. Olaniran

dblp:56/585 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none

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

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

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

TopicWeightPapersLastEvidence papers
Processor architecture and microarchitecture › instruction set architecture
EPIC architecture
0.011998
Integrated Predicated and Speculative Execution in the IMPACT EPIC Architecture · ISCA 1998
Processor architecture and microarchitecture › instruction-level parallelism
predicated execution
0.011998
Integrated Predicated and Speculative Execution in the IMPACT EPIC Architecture · ISCA 1998
Processor architecture and microarchitecture
speculative execution
0.011998
Integrated Predicated and Speculative Execution in the IMPACT EPIC Architecture · ISCA 1998
Compilers and program optimization › instruction scheduling
instruction-level parallelism
0.011998
Integrated Predicated and Speculative Execution in the IMPACT EPIC Architecture · ISCA 1998
YearPublicationVenuePosition
1998 Integrated Predicated and Speculative Execution in the IMPACT EPIC Architecture
abstract
Explicitly Parallel Instruction Computing (EPIC) architectures require the compiler to express program instruction level parallelism directly to the hardware. EPIC techniques which enable the compiler to represent control speculation, data dependence speculation, and predication have individually been shown to be very effective. However these techniques have not been studied in combination with each other. This paper presents the IMPACT EPIC Architecture to address the issues involved in designing processors based on these EPIC concepts. In particular we focus on new execution and recovery models in which microarchitectural support for predicated execution is also used to enable efficient recovery from exceptions caused by speculatively executed instructions. This paper demonstrates that a coherent framework to integrate the three techniques can be elegantly designed to achieve much better performance than each individual technique could alone provide.
David I. August, Daniel A. Connors, Scott A. Mahlke, John W. Sias, Kevin M. Crozier, Ben-Chung Cheng, Patrick R. Eaton, Qudus B. Olaniran, Wen-Mei W. Hwu
ISCA8