perc.nersc
1
http://perc.nersc.gov Performance Science and Engineering Measuring memory hierarchy performance Analytic Performance Bounds for a PETSc Kernel Mflop/s 0 100 200 300 400 500 600 700 800 900 SP O rigin T3E Pentium U ltra II TheoreticalP eak M em BW P eak O per.Issue P eak O bserved Bounding performance based on fundamental application characteristics Bloc k # Procedure Name Memory Ref. Mem. Ref. % L1 hit Rate L2 hit Rate Ratio Random Memory Bandwidt h Weighted Bandwidt h 1801 55 dgemv_n 4.82E+0 9 0.919 8 93.4 7 93.4 8 0.07 4166.0 3831.7 1801 59 dgemv_n 1.42E+0 8 0.027 1 90.3 3 90.3 9 0.00 1809.2 49.1 1801 60 dgemv_n 1.22E+0 8 0.023 2 94.8 1 99.8 9 0.00 5561.3 129.3 5885 MatSetVal ues 6.56E+0 7 0.012 5 77.3 2 90.0 0 0.20 1522.6 19.0 MAPS for TCSini for random and non-random loads Block # Bandwidth 180155 180159 180160 5885 2831.7 49.1 129.3 19.0 Convolving application & machine to predict performance Compiler framework to optimize high-level abstractions Infrastructure for accessing hardware performance monitors Infrastructure for dynamic instrumentation Tools for measuring & understanding application performance ENABLING TECHNOLOGIES C O N V O L U T I O N S Enhanced Simulations & Experiments Application Signatures Machine Signatures Bound Models Phase Models PAPI Sigma++ DynInst Scientific Simulations & Experiments ROSE SvPablo Tau Cache Simulator Prediction Tool Memory Ref Tool dumpMap .addr source files .lst files trace files Program Execution Instrumented binary Sigma Compile/Link Infrastructure for capturing & analyzing memory accesses Lawrence Livermore National Laboratory Dan Quinlan Bronis de Supinski University of Maryland Jeff Hollingsworth Oak Ridge National Laboratory Patrick Worley Jeffrey Vetter San Diego Supercomputing Center Allan Snavely University of North Carolina Dan Reed Argonne National Laboratory Paul Hovland Boyana Norris University of Tennessee Jack Dongarra Lawrence Berkeley National Laboratory David Bailey Erich Strohmaier imary participants: Supplementary participants: Technical University of Catalonia Jesús Labarta Los Alamos National Laboratory Adolfy Hoisie Harvey Wasserman Portland State University Karen Karavanic University of Oregon Allen Malony Rice University J. Mellor-Crummey University of Wisconsin Barton P. Miller Thomas J . Watson Research Center PO Box 218 Yorktown H eights, NY 10598 IBM Research Luiz DeRose
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Block #. Procedure Name. Memory Ref. Mem. Ref. %. L1 hit Rate. L2 hit Rate. Ratio Random. Memory Bandwidth. Weighted Bandwidth. Block #. Bandwidth. 180155. dgemv_n. 4.82E+09. 0.9198. 93.47. 93.48. 0.07. 4166.0. 3831.7. source files. 180159. dgemv_n. 1.42E+08. - PowerPoint PPT Presentation
Transcript of perc.nersc
http://perc.nersc.gov
Performance Science and Engineering
Measuring memoryhierarchy performance
Analytic Performance Bounds for a PETSc Kernel
Mfl
op/s
0
100
200
300
400
500
600
700
800
900
SP Origin T3E Pentium Ultra II
Theoretical Peak Mem BW PeakOper. Issue Peak Observed
Bounding performancebased on fundamental
application characteristics
Block#
ProcedureName
Memory
Ref. Mem. Ref. %
L1 hit
Rate
L2 hit
RateRatio
Random
Memory Bandwidth
WeightedBandwidth
180155 dgemv_n 4.82E+09 0.9198 93.47 93.48 0.07 4166.0 3831.7
180159 dgemv_n 1.42E+08 0.0271 90.33 90.39 0.00 1809.2 49.1
180160 dgemv_n 1.22E+08 0.0232 94.81 99.89 0.00 5561.3 129.3
5885 MatSetValues 6.56E+07 0.0125 77.32 90.00 0.20 1522.6 19.0
MAPS for TCSini for random and non-random loads
Block #
Bandwidth180155180159180160
5885
2831.749.1
129.319.0
Convolvingapplication &
machine topredict
performance
Compilerframeworkto optimizehigh-level
abstractions
Infrastructurefor accessing
hardwareperformance
monitors
Infrastructurefor dynamic
instrumentation
Tools formeasuring &understanding
applicationperformance
ENABLING TECHNOLOGIESC O N V O L U T I O
N S
Enhanced Simulations
& Experiments
ApplicationSignatures
MachineSignatures
BoundModels
PhaseModels
PAPI Sigma++ DynInst
Scientific Simulations
& ExperimentsROSE SvPablo Tau
CacheSimulator
PredictionTool
MemoryRef Tool
dumpMap .addr
sourcefiles
.lstfiles
tracefiles
ProgramExecution
InstrumentedbinarySigma
Compile/Link
Infrastructurefor capturing& analyzing
memory accesses
Lawrence LivermoreNational LaboratoryDan QuinlanBronis de Supinski
Universityof Maryland
Jeff Hollingsworth
Oak RidgeNational LaboratoryPatrick Worley Jeffrey Vetter
San DiegoSupercomputing Center
Allan Snavely
University ofNorth Carolina
Dan Reed
ArgonneNational LaboratoryPaul HovlandBoyana Norris
Universityof Tennessee
Jack Dongarra
Lawrence BerkeleyNational LaboratoryDavid BaileyErich Strohmaier
Primary participants:
Supplementaryparticipants:
Technical Universityof Catalonia
Jesús Labarta
Los AlamosNational LaboratoryAdolfy HoisieHarvey Wasserman
Portland StateUniversity
Karen Karavanic
Universityof Oregon
Allen Malony
RiceUniversity
J. Mellor-Crummey
Universityof Wisconsin
Barton P. Miller
Thomas J. Watson Research CenterPO Box 218Yorktown Heights, NY 10598
IBMResearch
Luiz DeRose
