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https://doi.org/10.1109/ispass...
Article . 2006 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2023
Data sources: DBLP
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Accelerating architectural exploration using canonical instruction segments

Authors: Rose F. Liu; Krste Asanovic;

Accelerating architectural exploration using canonical instruction segments

Abstract

Detailed microarchitectural simulators are not well suited for exploring large design spaces due to their excessive simulation times. We introduce AXCIS, a framework for fast and accurate design space exploration. AXCIS achieves fast simulation times by exploiting repetitions in program behavior to reduce the number of instructions simulated. For each dynamic instruction encountered during an initial full run of a benchmark, AXCIS builds an instruction segment, which concisely represents performance-critical information. AXCIS then compresses the string of dynamic segments into a table of canonical instruction segments (CIST) to give a compact representation of the entire benchmark trace. Given a precompiled CIST and a target microarchitecture configuration, AXCIS can quickly and accurately estimate performance metrics such as instructions per cycle (IPC). For the SPEC CPU2000 benchmarks and all simulated configurations, AXCIS achieves an average IPC error of 2.6%. While cycle-accurate simulators can take many hours to simulate billions of dynamic instructions, AXCIS can complete the same simulation on the corresponding CIST within seconds.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average