Mahadevan Rajagopalan

dblp:79/6940 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none

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
Memory systems · 87% Processor architecture and microarchitecture · 13%
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
Compilers and program optimization › prefetching
software prefetching
0.012004
Processor Aware Anticipatory Prefetching in Loops · HPCA 2004
Memory systems
cache
0.012004
Processor Aware Anticipatory Prefetching in Loops · HPCA 2004
Memory systems › cache
prefetching
0.012004
Processor Aware Anticipatory Prefetching in Loops · HPCA 2004
Processor architecture and microarchitecture › microprocessor design › processor core design
in-order execution
0.012004
Processor Aware Anticipatory Prefetching in Loops · HPCA 2004

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

prefetch scheduling · 0.1locality analysis · 0.1
YearPublicationVenuePosition
2004 Processor Aware Anticipatory Prefetching in Loops
abstract
As microprocessor speeds increase, a large fraction of the execution time is often lost to cache miss penalties. This loss can be particularly severe in processors such as the UltraSPARC-IIICu which have in-order execution and block on cache misses. Such processors rely greatly on the compiler to reduce stalls and achieve high performance. This paper describes a compiler technique for software prefetching that is aware of the specific prefetch behaviors of the target processor. The implementation targets loops containing control-flow and strided or irregular memory access patterns. A two phase locality analysis, capable of handling complex subscript expressions, is used for enhanced identification of prefetch candidates. Prefetch instructions are scheduled with careful consideration of the prefetch behaviors in the target system. Compared to a previous implementation, our technique produced performance improvements of 9% on the geometric mean, and up to 44% on individual tests, in Sun’s first UltraSPARC-IIICu based SPEC CPU2000 submission [5] and has been used in all later submissions to date.
Spiros Kalogeropulos, Mahadevan Rajagopalan, Vikram Rao, Yonghong Song, Partha Tirumalai
HPCA2