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Alireza Khalafi

dblp:46/5532 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2002
—ORCID · none

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

Systems, architecture and hardware · 2

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 · 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
Compilers and program optimization
code layout optimization
0.011999
Analysis of Temporal-Based Program Behavior for Improved Instruction Cache Performance · IEEE Trans. Computers 1999
Memory systems
cache
0.011999
Analysis of Temporal-Based Program Behavior for Improved Instruction Cache Performance · IEEE Trans. Computers 1999
Memory systems › cache management
cache interference
0.011999
Analysis of Temporal-Based Program Behavior for Improved Instruction Cache Performance · IEEE Trans. Computers 1999
Memory systems › cache › CPU cache
instruction cache
0.011999
Analysis of Temporal-Based Program Behavior for Improved Instruction Cache Performance · IEEE Trans. Computers 1999

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

profile-guided optimization · 0.0conflict miss graph · 0.0call graph · 0.0cache line coloring · 0.0
YearPublicationVenuePosition
2002 Realizing High IPC Using Time-Tagged Resource-Flow Computing
Augustus K. Uht, Alireza Khalafi, David Morano, Marco Rubén de Alba Rosano, David R. Kaeli
Euro-Par2
1999 Analysis of Temporal-Based Program Behavior for Improved Instruction Cache Performance
abstract
In this paper, we examine temporal-based program interaction in order to improve layout by reducing the probability that program units will conflict in an instruction cache. In that context, we present two profile-guided procedure reordering algorithms. Both techniques use cache line coloring to arrive at a final program layout and target the elimination of first generation cache conflicts (i.e., conflicts between caller/callee pairs). The first algorithm builds a call graph that records local temporal interaction between procedures. We will describe how the call graph is used to guide the placement step and present methods that accelerate cache line coloring by exploring aggressive graph pruning techniques. In the second approach, we capture global temporal program interaction by constructing a Conflict Miss Graph (CMG). The CMG estimates the worst-case number of misses two competing procedures can inflict upon one another and reducing higher generation cache conflicts. We use a pruned CMG graph to guide cache line coloring. Using several C and C++ benchmarks, we show the benefits of letting both types of graphs guide procedure reordering to improve instruction cache hit rates. To contrast the differences between these two forms of temporal interaction, we also develop new characterization streams based on the Inter-Reference Gap (IRG) model.
John Kalamatianos, Alireza Khalafi, David R. Kaeli, Waleed Meleis
IEEE Trans. Computers2