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Survey methodology / Profiling / Jikes RVM / Market research / Profilers / Sampling / Hardware performance counter / Confidence interval / Statistics / Computing / Software optimization


Using HPM-Sampling to Drive Dynamic Compilation Dries Buytaert† Andy Georges† Michael Hind∗
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Document Date: 2009-01-20 13:40:09

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City

Qu´ebec / Timer / Sampling / /

Company

VM / CVS / AMD / IBM / /

Country

Belgium / Canada / /

Currency

USD / /

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Facility

IBM T.J. Watson Research Center / Ghent University / /

IndustryTerm

online profiling mechanism / online profiling schemes / faster hardware / dynamic compilation systems / microprocessor-based computer systems / /

MusicGroup

Monitors / Java / /

OperatingSystem

VMs / XP / Linux / POSIX / /

Organization

Department of Electronics and Information Systems / Ghent University / /

Person

Andy Georges / Michael Hind / /

Position

collector / lr ant rt / controller / and compiler / mp / rt / Jikes RVM thread scheduler / Setitimer-polling Setitimer-immediate-no-yieldpoints HPM-immediate-no-yieldpoints ge era av pm / Runtime environments General / udo jbb jav ac mp / controller / fop hsq ldb jyt hon pm / HPM driver / OS scheduler / /

Product

Linux/IA32 / SPECjvm98 benchmark suite / Jikes RVM / Athlon XP 3000+ / SPECjvm98 / /

ProgrammingLanguage

Java / /

Technology

virtual machine / LAN / RAM / end Algorithm / av / Java / Linux / operating system / operating systems / /

SocialTag