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HPCPI/Xtools Performance Analysis Toolset

HPCPI/Xtools Performance Analysis Toolset

HPCPI/Xtools Performance Analysis Toolset. David LaFrance-Linden High Performance Computing Division. Overview. HPCPI Statistical sampling profiler From DCPI (Digital Continuous Profiling Infrastructure) Compare (vaguely) to: OProfile (open source): conceptually based on DCPI

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644 views • 39 slides
Profiling S3D on Cray XT3 using TAU

Profiling S3D on Cray XT3 using TAU

Profiling S3D on Cray XT3 using TAU. Sameer Shende tau-team@cs.uoregon.edu. Acknowledgements. Alan Morris [UO] Kevin Huck [UO] Allen D. Malony [UO] Kenneth Roche [ORNL] Bronis R. de Supinski [LLNL]. TAU Parallel Performance System. http://www.cs.uoregon.edu/research/tau/

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396 views • 26 slides
Dynamic Recompilation of Legacy Applications: A Case Study of Prefetching using Dynamic Monitoring

Dynamic Recompilation of Legacy Applications: A Case Study of Prefetching using Dynamic Monitoring

Dynamic Recompilation of Legacy Applications: A Case Study of Prefetching using Dynamic Monitoring. Mauricio Serrano, Jose Castanos, Hubertus Franke. Outline. Overview of the Dynamic Compilation Infrastructure PFLOATRAN Application Delinquent Load Optimization Performance Results

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421 views • 25 slides
Dynamic Recompilation of Legacy Applications: A Case Study of Prefetching using Dynamic Monitoring

Dynamic Recompilation of Legacy Applications: A Case Study of Prefetching using Dynamic Monitoring

Dynamic Recompilation of Legacy Applications: A Case Study of Prefetching using Dynamic Monitoring. Mauricio Serrano, Jose Castanos, Hubertus Franke. Outline. Overview of the Dynamic Compilation Infrastructure PFLOATRAN Application Delinquent Load Optimization Performance Results

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371 views • 25 slides
Computer Architecture Project Team A

Computer Architecture Project Team A

Computer Architecture Project Team A. Sergio Rico, Ertong Zhang, Vlad Chiriacescu , ZhongYin Zhang. Outline. Introduction Motivation Experimental Protocol Results. Introduction.

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245 views • 18 slides
Profile-Guided Optimization Targeting High Performance Embedded Applications

Profile-Guided Optimization Targeting High Performance Embedded Applications

Profile-Guided Optimization Targeting High Performance Embedded Applications. David Kaeli Murat Bicer Efe Yardimci Center for Subsurface Sensing and Imaging Systems (CenSSIS) Northeastern University Jeffrey Smith Mercury Computer. Why Consider Using Profile-Guided Optimization?.

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311 views • 17 slides
Performance Characterization of the Pentium III using Web Workloads

Performance Characterization of the Pentium III using Web Workloads

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187 views • 11 slides

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