An LLVM Instrumentation Plug-in for Score-P

Reducing application runtime, scaling parallel applications to higher numbers of processes/threads, and porting applications to new hardware architectures are tasks necessary in the software development process. Therefore, developers have to investigate and understand application runtime behavior. Tools such as monitoring infrastructures that capture performance relevant data during application execution assist in this task. The measured data forms the basis for identifying bottlenecks and optimizing the code. Monitoring infrastructures need mechanisms to record application activities in order to conduct measurements. Automatic instrumentation of the source code is the preferred method in most application scenarios. We introduce a plug-in for the LLVM infrastructure that enables automatic source code instrumentation at compile-time. In contrast to available instrumentation mechanisms in LLVM/Clang, our plug-in can selectively include/exclude individual application functions. This enables developers to fine-tune the measurement to the required level of detail while avoiding large runtime overheads due to excessive instrumentation.Comment: 8 page

Chancengerechtigkeit durch Bildung – Chancengerechtigkeit in der Bildung (Auszug)

Der hier mit freundlicher Genehmigung des AWO Bundesverbands abgedruckte Text ist ein Auszug aus der Broschüre: Arbeiterwohlfahrt Bundesverband (Hrsg.): Standpunkte 2006. Chancengerechtigkeit durch Bildung – Chancengerechtigkeit in der Bildung, Bonn 2006. Unser Bildungssystem für die Kinder im Alter von 6 bis 16 Jahren wird den Herausforderungen der Zukunft nicht gerecht. Ein Umsteuern ist dringend notwendig, da ohne Bildung der Wandel in die Wissensgesellschaft nicht zu bewältigen ist. Bildung, Qualifikation und Kompetenzen und das Erlernen von Diskurs- und Konfliktfähigkeit entscheiden über die beruflichen und gesellschaftlichen Chancen eines jeden Menschen und davon abhängig über seine Zukunftschancen. Bildung bedeutet Entwicklung der Persönlichkeit, der Identität. Bildung bedeutet aber auch, die gemeinschaftsfähige Persönlichkeit zu gestalten. Und somit bekommt Bildung gerade in der Lebensphase der 6- bis 16-Jährigen über die eher traditionelle Dimension hinaus auch einen emanzipatorischen Charakter. Wenn Bildung also für den Einzelnen diese entscheidende Rolle spielt, dann bekommt die öffentliche Verantwortung für dieses Bildungswesen eine ganz zentrale Bedeutung. (DIPF/Orig.

Performance Analysis of the CFD Solver CODA - Harnessing Synergies between Application and Performance Tools Developers

Accurate prediction of fluid flows remains an important field of research and engineering. To this end, computational fluid dynamics (CFD) is widely employed. Due to their high demands on computational resources CFD applications benefit from HPC systems. Continuous performance analysis and optimization is key to efficient utilization of HPC resources. This paper demonstrates the beneficial cooperation between developers of HPC software and performance tools in the context of the CFD solver CODA and the sparse linear system solver Spliss. We investigate concepts used by CODA/Spliss to achieve high scalability and evaluate their effectiveness with performance analysis tools. This example illustrates profits obtained from a close collaboration between HPC application and tool developers. On the one hand, tools support application developers in analyzing and tuning their applications. On the other hand, feedback and requests of application developers inspire tools enhancements. In this work we highlight these aspects with an extended support of non-blocking collectives in performance tools and emphasize the need for sophisticated tool support of multi-threaded MPI applications

Practical Hybrid Parallel Application Performance Engineering

This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on the community-developed Score-P instrumentation and measurement infrastructure, demonstrating how they can be used for performance engineering of effective scientific applications based on standard MPI, OpenMP, hybrid combination of both, and increasingly common usage of accelerators. Parallel performance tools from the Virtual Institute – High Productivity Supercomputing (VI-HPS) are introduced and featured in demonstrations with Scalasca, Vampir, and TAU. We present the complete workflow of performance engineering, including instrumentation, measurement (profiling and tracing, timing and PAPI hardware counters), data storage, analysis, and visualization. Emphasis is placed on how tools are used in combination for identifying performance problems and investigating optimization alternatives. An HPC Linux [http://www.hpclinux.org] OVA image containing all of the necessary tools will be available to the participants for use on their own notebook computers (running within a virtual machine). The knowledge gained in this tutorial will help participants to locate and diagnose performance bottlenecks in their own parallel programs

Hands-on Practical Hybrid Parallel Application Performance Engineering

This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on the Score-P community instrumentation and measurement infrastructure, demonstrating how they can be used for performance engineering of effective scientific applications based on standard MPI, OpenMP, hybrid MPI+OpenMP, and increasingly common usage of accelerators. Parallel performance evaluation tools from the VI-HPS (Virtual Institute High Productivity Supercomputing) are introduced and featured in hands-on exercises with Scalasca, Vampir and TAU. We present the complete workflow of performance engineering, including instrumentation, measurement (profiling and tracing, timing and PAPI hardware counters), data storage, analysis, and visualization. Emphasis is placed on how tools are used in combination for identifying performance problems and investigating optimization alternatives. Using their own notebook computers with a provided Linux Live-ISO image containing the tools (booted from DVD/USB or within a virtual machine) will help to prepare participants to locate and diagnose performance bottlenecks in their own parallel programs

Hands-On Practical Hybrid Parallel Application Performance Engineering

This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on the community-developed Score-P instrumentation and measurement infrastructure, demonstrating how they can be used for performance engineering of effective scientific applications based on standard MPI, OpenMP, hybrid combination of both, and increasingly common usage of accelerators. Parallel performance tools from the Virtual Institute – High Productivity Supercomputing (VI-HPS) are introduced and featured in hands-on exercises with Scalasca, Vampir, and TAU. We present the complete workflow of performance engineering, including instrumentation, measurement (profiling and tracing, timing and PAPI hardware counters), data storage, analysis, and visualization. Emphasis is placed on how tools are used in combination for identifying performance problems and investigating optimization alternatives. Using their own notebook computers with a provided HPC Linux [http://www.hpclinux.org] OVA image containing all of the necessary tools (running within a virtual machine), participants will conduct exercises on the Stampede system at TACC where remote access to Intel Xeon and Intel Xeon Phi accelerator-based nodes will be provided for the hands-on sessions. This will help to prepare participants to locate and diagnose performance bottlenecks in their own parallel programs

Hands-On Practical Hybrid Parallel Application Performance Engineering

This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on the Score-P community-developed instrumentation and measurement infrastructure, demonstrating how they can be used for performance engineering of effective scientific applications based on standard MPI, OpenMP, hybrid combination of both, and increasingly common usage of accelerators. Parallel performance tools from the Virtual Institute - High Productivity Supercomputing (VI-HPS) are introduced and featured in hands-on exercises with Scalasca, Vampir, and TAU. We present the complete workflow of performance engineering, including instrumentation, measurement (profiling and tracing, timing and PAPI hardware counters), data storage, analysis, and visualization. Emphasis is placed on how tools are used in combination for identifying performance problems and investigating optimization alternatives. Using their own notebook computers with a provided Linux Live-ISO image containing all of the tools (running within a virtual machine or booted directly from DVD/USB) will help to prepare participants to locate and diagnose performance bottlenecks in their own parallel programs

Hands-on Practical Hybrid Parallel Application Performance Engineering

This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on the community-developed Score-P instrumentation and measurement infrastructure, demonstrating how they can be used for performance engineering of effective scientific applications based on standard MPI, OpenMP, hybrid combination of both, and increasingly common usage of accelerators. Parallel performance tools from VI-HPS.org are introduced and featured in hands-on exercises with Score-P, Scalasca, Vampir and TAU. We present the complete workflow of performance engineering, including instrumentation, measurement (profiling and tracing, timing and PAPI hardware counters), data storage, analysis, tuning and visualization. Emphasis is placed on how tools are used together for identifying performance problems and investigating optimization alternatives. Using an AWS instance of E4S with all of the necessary tools, participants will conduct exercises with support for a remote desktop session for GUI tools. This will help to prepare participants to locate and diagnose performance bottlenecks in their own parallel programs

Hands-on Practical Hybrid Parallel Application Performance Engineering

This tutorial presents state-of-the-art performance tools for leading HPC systems founded on the community-developed Score-P instrumentation and measurement infrastructure, demonstrating how they can be used for performance engineering of effective scientific applications based on standard MPI, OpenMP, hybrid combination of both, and increasingly common usage of accelerators. Parallel performance tools from the Virtual Institute – High Productivity Supercomputing (VI-HPS) are introduced and featured in hands-on exercises with Score-P, Scalasca, Vampir, and TAU. These platform-agnostic tools are installed and supported on many of the HPC systems coordinated via PRACE, ECP, XSEDE/ACCESS, and others. We present the complete workflow of performance engineering, including instrumentation, measurement (profiling and tracing, timers and hardware counters), data storage, analysis, tuning, and visualization. Emphasis is placed on how tools are used in combination for identifying performance problems and investigating optimization alternatives. Participants will use their notebook computer for guided exercises on contemporary CPU+GPU HPC systems which will prepare them to locate and diagnose performance bottlenecks in their own parallel programs