The READEX projects focuses on flexible runtime tuning by dynamically switching application and system configurations for optimizing energy efficiency. It is based on a design-time analysis that creates a tuning model. This tuning model is used at runtime to guide the switching between configurations. The design-time analysis and the runtime switching are based on Periscope and Score-P.
Scalable Tools for the Analysis and Optimization of Energy Consumption in HPC (2013-2016)
The main objective of the Score-E project, funded under the 3rd “HPC software for scalable parallel computers” call of the Federal Ministry of Education and Research (BMBF), is to provide user-friendly analysis and optimization tools for the energy consumption of HPC applications. TUM focuses on the implementation of tuning support in the Score-P monitoring system and of energy tuning plugins in the Periscope Tuning Framework.
Automatic Online Tuning (2011-2015)
The AutoTune project focuses on extending Periscope to the Periscope Tuning Framework combining performance and energy efficiency analysis with automatic tuning plugins. The project is coordinated by TUM. The project partners are University of Vienna, Universitat Autonoma de Barcelona, CAPS entreprises, Leibniz Computing Centre, and University of Galway.
Performance dynamics of massively parallel codes (2011-2014)
The time-dependent behavior of parallel simulation codes – in particular when adaptive algorithms are employed – is often irregular, making the understanding of performance dynamics an essential prerequisite for program optimization. This project explored means to efficiently handle performance dynamics in state-of-the-art performance analysis tools. PTF was extended with special dynamics performance properties to identify and classify dynamic performance behavior.
Integrated System and Application analysis for massively parallel systems in the petascale Range (2009-2011)
The goal of the three-year BMBF project ISAR is the realization of an integrated scalable system and application analysis software for the use in production environments. This software is based on the Periscope toolkit.
Scalable Infrastructure for the Automated Performance Analysis of Parallel Codes (2009-2011)
Funded by the German Ministry for Education and Research, the goal of the SILC project (Scalable Infrastructure for the Automated Performance Analysis of Parallel Codes) is therefore the design and implementation of a scalable and easy-to-use performance measurement infrastructure for supercomputing applications as a basis for several already existing performance-analysis tools developed by partner institutions.
Performance Analysis Tools for Peta-Scale Computing Systems
Performance Analysis Tools for Peta-Scale Computing Systems (2007-2008)
The goal of this project is to cooperate in the development of performance analysis tools for peta-scale computers. It is a cooperation project between Center for Advanced Computing Research at Caltech, Center for Applied Scientific Computing at Lawrence Livermore National Laboratory, and LRR/TUM. It is funded by BaCaTec.
This Periscope project is funded by DFG. The goal is to further enhance the prototype of an automatic performance analysis environment developed in the PERIDOT project.
PERormance Indication and Detection of bottlenecks Occuring on Teraflop computers (2001-2004)
This Peridot project is funded by KONWIHR. The goal is to implement an automatic performance analysis environment for the Hitachi SR8000.
Automatic Performance Analysis: Resources and Tools (1999-2004)
The Esprit Working Group APART is a group of 7 European and 3 American partners. The working group will explore all issues in automatic performance analysis support for parallel machines and grids.