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Copyright 2017 FUJITSU LIMITED
Arm HPC Workshop
Application Development Tools
for Post-K Supercomputer
13th December 2017
Tomotake NAKAMURA
Performance Analysis Dept. Compiler Development Div.
Next Generation Technical Computing Unit
FUJITSU LIMITED
0
Copyright 2017 FUJITSU LIMITED
 Profiler, debugger and IDE for K computer
 Direction of tools’ enhancements for Post-K
 Cases of collaboration with OSS
 mpiP
 Eclipse PTP
 Exporting profilers’ data in XML format
 Summary
Outline
1
Copyright 2017 FUJITSU LIMITED
 Mainly provided by FUJITSU
 With support for K’s original hardware
 Profiler: rich performance counters in CPU &
Tofu interconnect
 Debugger: extension of SIMD instructions,
increased # of registers
 Good reputation, especially for the profiler
 Applicable to optimized executables
 Detailed performance report for precise analysis
•Leads to loop transformations, data prefetching, ...
 But, Post-K adopt Armv8-A with SVE
 Not “only one” architecture
 Software ecosystem will help application
development more
Profiler, Debugger and IDE for K computer
2
Copyright 2017 FUJITSU LIMITED
 Many OSS middleware on K computer
 Linux OS, Lustre file system (customized), Open MPI (customized), GCC, ...
 As profilers: mpiP (customized), VampirTrace (integrated), Score-P, TAU, ...
 Advantages of OSS-based development tools
 Lowering barrier for new users by compatibility and existing know-how
 Various attempts in user interfaces for usability
 For Post-K, while enhancing own profilers’ capability,
Fujitsu will integrate OSS technologies for the above advantages
Direction of Tools’ Enhancements for Post-K
3
IDE for K computer
Eclipse PTP
Copyright 2017 FUJITSU LIMITED
 mpiP: lightweight profiling library for MPI applications
 Generates simple report in text format, in contrast to much info. by Fujitsu’s one
 Customized and provided by Fujitsu since PRIMEHPC FX100
 Enhancement: additional MPI_Barrier before/after collective communications
•To distinguish wasted time caused by load imbalance among processes
 More than one choice is reasonable for profilers
 Degree of richness of generated reports
 Various attempts in user interfaces for performance analysis
Cases of Collaboration with OSS: mpiP
4
Communication Statistics by Fujitsu’s Profiler Example of mpiP Report
Copyright 2017 FUJITSU LIMITED
 Eclipse PTP: IDE for development of parallel applications
 Editing source code, job submission & monitoring, …
 Adopted to simplify workflow of development & perf. analysis
 Key feature: “synchronized project” functionality
 Switching from WWW-based framework, offline work becomes easy
 Integration of profilers is under development
Cases of Collaboration with OSS: Eclipse PTP
5
(Source: Eclipse PTP Tutorial)
Copyright 2017 FUJITSU LIMITED
 Fujitsu’s profilers gather much data and generate detailed reports
 But, there could be too many analysis views to be covered by the
product
 On Post-K, profilers’ data can be exported in XML as well as text
and CSV formats
 Tool developers and perf. engineers are welcome to collaborate on UIs
Exporting Profilers’ Data in XML Format
6
Performance Report by Fujitsu’s Profiler
Breakdown of execution time
OPRT_divergence:1634 OPRT_gradient:1741 OPRT_divdamp:2779
OPRT3D_divdamp:218 advlim_thuburn_v:801 Others
Example of User-defined Report
Colored according to bottlenecks
red: cache&memory blue: calculation
green: well-executed
Copyright 2017 FUJITSU LIMITED
 For Post-K, Fujitsu will provide enhanced application development
tools with integration of OSS technologies
 Lowering barrier for new users, various attempts in UIs
 Also we expect the success of OpenHPC activity in terms of
development tools, which will satisfy basic needs of many users
 Score-P, TAU and other tools are ready to use by RPM-provided packages
Summary
7
8 Copyright 2017 FUJITSU LIMITED

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Post-K: Building the Arm HPC Ecosystem

  • 1. Copyright 2017 FUJITSU LIMITED Arm HPC Workshop Application Development Tools for Post-K Supercomputer 13th December 2017 Tomotake NAKAMURA Performance Analysis Dept. Compiler Development Div. Next Generation Technical Computing Unit FUJITSU LIMITED 0
  • 2. Copyright 2017 FUJITSU LIMITED  Profiler, debugger and IDE for K computer  Direction of tools’ enhancements for Post-K  Cases of collaboration with OSS  mpiP  Eclipse PTP  Exporting profilers’ data in XML format  Summary Outline 1
  • 3. Copyright 2017 FUJITSU LIMITED  Mainly provided by FUJITSU  With support for K’s original hardware  Profiler: rich performance counters in CPU & Tofu interconnect  Debugger: extension of SIMD instructions, increased # of registers  Good reputation, especially for the profiler  Applicable to optimized executables  Detailed performance report for precise analysis •Leads to loop transformations, data prefetching, ...  But, Post-K adopt Armv8-A with SVE  Not “only one” architecture  Software ecosystem will help application development more Profiler, Debugger and IDE for K computer 2
  • 4. Copyright 2017 FUJITSU LIMITED  Many OSS middleware on K computer  Linux OS, Lustre file system (customized), Open MPI (customized), GCC, ...  As profilers: mpiP (customized), VampirTrace (integrated), Score-P, TAU, ...  Advantages of OSS-based development tools  Lowering barrier for new users by compatibility and existing know-how  Various attempts in user interfaces for usability  For Post-K, while enhancing own profilers’ capability, Fujitsu will integrate OSS technologies for the above advantages Direction of Tools’ Enhancements for Post-K 3 IDE for K computer Eclipse PTP
  • 5. Copyright 2017 FUJITSU LIMITED  mpiP: lightweight profiling library for MPI applications  Generates simple report in text format, in contrast to much info. by Fujitsu’s one  Customized and provided by Fujitsu since PRIMEHPC FX100  Enhancement: additional MPI_Barrier before/after collective communications •To distinguish wasted time caused by load imbalance among processes  More than one choice is reasonable for profilers  Degree of richness of generated reports  Various attempts in user interfaces for performance analysis Cases of Collaboration with OSS: mpiP 4 Communication Statistics by Fujitsu’s Profiler Example of mpiP Report
  • 6. Copyright 2017 FUJITSU LIMITED  Eclipse PTP: IDE for development of parallel applications  Editing source code, job submission & monitoring, …  Adopted to simplify workflow of development & perf. analysis  Key feature: “synchronized project” functionality  Switching from WWW-based framework, offline work becomes easy  Integration of profilers is under development Cases of Collaboration with OSS: Eclipse PTP 5 (Source: Eclipse PTP Tutorial)
  • 7. Copyright 2017 FUJITSU LIMITED  Fujitsu’s profilers gather much data and generate detailed reports  But, there could be too many analysis views to be covered by the product  On Post-K, profilers’ data can be exported in XML as well as text and CSV formats  Tool developers and perf. engineers are welcome to collaborate on UIs Exporting Profilers’ Data in XML Format 6 Performance Report by Fujitsu’s Profiler Breakdown of execution time OPRT_divergence:1634 OPRT_gradient:1741 OPRT_divdamp:2779 OPRT3D_divdamp:218 advlim_thuburn_v:801 Others Example of User-defined Report Colored according to bottlenecks red: cache&memory blue: calculation green: well-executed
  • 8. Copyright 2017 FUJITSU LIMITED  For Post-K, Fujitsu will provide enhanced application development tools with integration of OSS technologies  Lowering barrier for new users, various attempts in UIs  Also we expect the success of OpenHPC activity in terms of development tools, which will satisfy basic needs of many users  Score-P, TAU and other tools are ready to use by RPM-provided packages Summary 7
  • 9. 8 Copyright 2017 FUJITSU LIMITED