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DTSTAMP:20191206T142456Z
LOCATION:Analog 1\, 2
DTSTART;TZID=Europe/Stockholm:20180627T100000
DTEND;TZID=Europe/Stockholm:20180627T110000
UID:isc_hpc_ISC High Performance 2018_sess148_apost105@linklings.com
SUMMARY:(A06) Poster from Korea: Application Characterization by using Har
 dware Performance Counters with Data Mining
DESCRIPTION:HPC in Asia\n\n(A06) Poster from Korea: Application Characteri
 zation by using Hardware Performance Counters with Data Mining\n\nChoi, Pa
 rk, Nam\n\nWith the advent of processors such as Intel Xeon Phi and NVDIA 
 GPUs which has more number of cores than existing multicore processors and
  additional high-bandwidth memory, research on performance analysis of new
  system has received increasing attention from high performance computing 
 community. In addition, computational scientists and engineers who are eag
 er to obtain the best performance of their scientific applications need to
  understand application characteristics in the new system. Hardware Perfor
 mance Counter which is included in modern processors is mainly used to mon
 itor performance-related hardware events. However, a large number of hardw
 are events that are provided differently by vendor make it difficult to fi
 nd performance-related insights. \nIn this paper, we propose a method to s
 imply and quickly classify application characteristics by using a data min
 ing tool without understanding the correlation between hardware events. Ou
 r approach has 3 steps which are event collection, profiling, and applicat
 ion characteristics analysis. We applied the proposed method to NAS Parall
 el Benchmarks (NPB) in a system based on Intel Knights Landing processors.
  Results of classification of application characteristics indicate that ou
 r classification were the same as the authorized NPB categories. We show t
 he effectiveness of the proposed scheme in a case study on analyzing the d
 egree of interference between application characteristics.\n\nPasses: Conf
 erence Pass, Performance Analysis and Optimization, Performance Tools, Sch
 eduling\n\nTag: Conference Pass, Performance Analysis and Optimization, Pe
 rformance Tools, Scheduling
URL:https://2018.isc-program.com/presentation/?id=apost105&sess=sess148
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