Christopher Aoki

dblp:04/355 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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
Performance modeling and evaluation · 67% Memory systems · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems › cache
cache performance
0.012003
Memory Profiling using Hardware Counters · SC 2003
Performance modeling and evaluation › performance monitoring
hardware performance counters
0.012003
Memory Profiling using Hardware Counters · SC 2003
Performance modeling and evaluation › profiling
memory profiling
0.012003
Memory Profiling using Hardware Counters · SC 2003

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

hardware performance counters · 0.0
YearPublicationVenuePosition
2003 Memory Profiling using Hardware Counters
abstract
Although memory performance is often a limiting factor in application performance, most tools only show performance data relating to the instructions in the program, not to its data. In this paper, we describe a technique for directly measuring the memory profile of an application. We describe the tools and their user model, and then discuss a particular code, the MCFbenchmark from SPEC CPU 2000. We show performance data for the data structures and elements, and discuss the use of the data to improve program performance. Finally, we discuss extensions to the work to provide feedback to the compiler for prefetching and to generate additional reports from the data.
Marty Itzkowitz, Brian J. N. Wylie, Christopher Aoki, Nicolai Kosche
SC3