Cross-Platform Performance Prediction of Parallel Applications - SC
Applications Using Partial Execution. Leo T. Yang∗ ... HPC users need cross- platform performance prediction to compare the efficiency of .... head: in most cases, with a short execution that takes 1% or less of the total ... tiple supercomputers. However, data ...... Conference on Supercomputing, pages 111 –120, June 2005.
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Predicting Parallel Applications' Performance Across Platforms
Predicting Parallel Applications' Performance Across Platforms Using Partial. Execution. Tao Yang∗ ... wide choices in execution platforms, cross-machine execu- tion time ... 1. Introduction. Users of high-performance computing (HPC) platforms tend to have ...... of the International Conference on Supercomputing, 1993.
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Performance Prediction of Weather Forecasting Software - PIRE
using our prediction model to predict the execution times. Prediction ... each of the systems and later cross-cluster prediction tests were ... clock speed of the execution platform affects the execution time. ... Figure 1. Overview of the performance prediction methodology. Application ... Large clusters (or supercomputers).
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Performance prediction with skeletons | SpringerLink
Specifically, the execution time of the performance skeleton is a small fixed fraction ... References. 1. Linux man pages. 2. Almesberger, W.: Linux network traffic ... M.: Cross-platform performance prediction of parallel applications using partial execution. In: Proceedings of Supercomputing '05, Seattle, WA, November 2005.
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Statistical Power and Performance Modeling for Optimizing the
modeling can be used for predicting the HPL configuration ... The list ranks the supercomputers based on ... performance using several feature selection techniques. .... tuning on the HPL benchmark, we use a cluster platforms ..... IEEE Computer Society, 2005. ... Prediction of Parallel Applications Using Partial Execution. In.
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Accurate Cross-Architecture Performance Modeling for Sparse
predict cross-architecture SpMV kernel performance with much less user's effort. ... execution times for CSR, ELL, COO, and HYB SpMV kernels are 3.1%, 5.1%, .... for parallel application based on inter-platform relative performance and partial ...... Proceedings of the 2005 ACM/IEEE conference on Supercomputing, SC '05, ...
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Performance Prediction with Skeletons - Department of Computer
construction of performance skeletons of a specified execution time and ....  show that performance translation and prediction derived from very short partial execu- ... of the application it represents; if the execution time of a skeleton is 1/ 1000th of ...... Cross-platform performance prediction of parallel applications using.
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A Modeling Approach for Estimating Execution Time of Long
cross-platform; it enables prediction without the need for the application to be profiled ... with a complex codebase and little to no documentation.1. We use it to ...
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Predicting parallel application performance via machine learning
Exper. 2006; 00:1–7 Prepared using cpeauth.cls [Version: 2002/09/19 v2.02] ... automatically build models based on execution samples. ... application performance prediction problems , and our techniques are ...... Yang, T., Ma, X., Mueller, F. Cross-platform performance prediction of parallel applications using partial.
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Methods of Inference and Learning for Performance Modeling of
predict performance with median errors ranging from 3.6 to. 10.5 percent. ... Nodes Used. 512. 64. Table 1. Specifications of Experimental Platforms demonstrate ...
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A Regression-Based Approach to Scalability Prediction - Computer
Jun 12, 2008 ... subset of the processors to predict execution time on larger num- ... Figure 1: Median time for a short application to commence ex- ecution on ... To the supercomputer center, it wastes the system in ... ity interferes with expected performance  or when non-uniform ...... partial executions. .... Cross-platform.
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Using Focused Regression for Accurate Time-Constrained Scaling
... systems with tens or hundreds of thousands of processors, such as ORNL's Jaguar , ... regression to predict execution time using strong scaling. (rather than ...
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Modeling and Predicting Performance of High Performance
supercomputers use accelerators. However, in ... Keywords-accelerators;GPU; FPGA;performance prediction; ... studies of two accelerator devices: 1) FPGAs on a Convey ......  L. Yang, et al., "Cross-Platform Performance Prediction of. Parallel Applications Using Partial Execution," presented at ... Supercomputing, 2005.
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How Well Can Simple Metrics Represent the Performance of HPC
Nov 12, 2005 ... San Diego Supercomputer Center. CSE Dept. ... methodology can predict performance with an average accuracy of ... system attributes (as well as cross- terms encountered when multiple ... of the target workload defined by the DoD HPCMP 2005 .... application test case can require 1-4 hours to execute.
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Energy-efficient parallel software for mobile hand-held - Usenix
performance and energy consumption behavior increas- ingly non intuitive. ... Cross-platform simulators are often used in the soft- ... Also, using partial execution for per- ... formance prediction and regression models have been ... Figure 1: Clock speed per power for a collection of ARM pro- ..... Supercomputing (2005).
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Reducing the time to tune parallel dense linear algebra routines with
algebra routines with partial execution and performance modelling ... predict time to run dense linear algebra calculation. We report .... Figure 1 gives a visual indication that DGEMM and HPL are ... time as the number of cores of recent supercomputers started to rapidly ...... cross-platform performance predictions of scientific.
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Job Scheduling on Parallel Systems - Computer Science and
require unperturbed performance are executed on dedicated processors using space-sharing. Supercomputing facilities often meet the requirements of both ...
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Learning Application Models for Utility Resource - Duke University
work for model-guided utility resource planning.1 NIMO is. 1This research is .... partial execution of each candidate application on each target system. Remote ...
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Identifying Energy-Efficient Concurrency Levels Using - CiteSeerX
Matthew Curtis-Maury 1,3, Karan Singh 2,3, Sally A. McKee 2, Filip Blagojevic 1 .... resulting performance with various levels of concurrency. The ... prediction- based approach succeeds on applications with as ...  present a cross-platform performance ... formance through partial execution of a parallel application.
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Exploiting performance counters to predict and improve energy - Hal
Mar 5, 2015 ... tion and cross platform energy prediction – are used for energy optimization and .... Power/energy estimation using hardware performance counters ... ular the processor and memory) during the workload execution ..... 3.2.1. Partial phase recognition. Phase identification is an ..... Computer Society, 2005.
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