/pdf/scalable-molecular-dynamics-with-namd-3j7xyc70g4.pdf

Scalable Molecular Dynamics with NAMD

物件導向軟體之架構(Object-Oriented Software Construction)探討

A large number of MPI implementations are currently available, each of which emphasize different aspects of high-performance computing or are intended to solve a specific research problem. The result is a myriad of incompatible MPI implementations, all of which require separate installation, and the combination of which present significant logistical challenges for end users. Building upon prior research, and influenced by experience gained from the code bases of the LAM/MPI, LA-MPI, and FT-MPI projects, Open MPI is an all-new, production-quality MPI-2 implementation that is fundamentally centered around component concepts. Open MPI provides a unique combination of novel features previously unavailable in an open-source, production-quality implementation of MPI. Its component architecture provides both a stable platform for third-party research as well as enabling the run-time composition of independent software add-ons. This paper presents a high-level overview the goals, design, and implementation of Open MPI.

/pdf/open-mpi-goals-concept-and-design-of-a-next-generation-mpi-16i41y4jp9.pdf

Open MPI: Goals, Concept, and Design of a Next Generation MPI Implementation

[서평]「Component Software」 - Beyond Object-Oriented Programming -

The ability of performance technology to keep pace with the growing complexity of parallel and distributed systems depends on robust performance frameworks that can at once provide system-specific performance capabilities and support high-level performance problem solving Flexibility and portability in empirical methods and processes are influenced primarily by the strategies available for instrmentation and measurement, and how effectively they are integrated and composed This paper presents the TAU (Tuning and Analysis Utilities) parallel performance sytem and describe how it addresses diverse requirements for performance observation and analysis

/pdf/the-tau-parallel-performance-system-3fr3lax14z.pdf

The Tau Parallel Performance System

To address the increasing complexity in parallel and distributed systems and software, advances in performance technology towards more robust tools and broader, more portable implementations are needed. In doing so, new challenges for performance instrumentation, measurement, analysis, and visualization arise to address evolving requirements for how performance phenomena is observed and how performance data is used. This paper presents recent advances in the TAU performance system in four areas where improvements in performance technology are important: instrumentation control, performance mapping, performance interaction and steering, and performance databases. In the area of instrumentation control, we are concerned with the removal of instrumentation in cases of high measurement overhead. Our approach applies rule-based analysis of performance data in an iterative instrumentation process. Work on performance mapping focuses on measuring performance with respect to dynamic calling paths when the static callgraph cannot be determined prior to execution. We describe an online performance data access, analysis, and visualization system that will form the basis of a large-scale performance interaction and steering system. Finally, we describe our approach to the management of performance data in a database framework that supports multi-experiment analysis.

/pdf/advances-in-the-tau-performance-system-2a9snhrm29.pdf

Advances in the TAU performance system

A common prerequisite for a number of debugging and performance-analysis techniques is the injection of auxiliary program code into the application under investigation, a process called instrumentation . To accomplish this task, source-code preprocessors are often used. Unfortunately, existing preprocessing tools either focus only on a very specific aspect or use hard-coded commands for instrumentation. In this paper, we examine which basic constructs are required to specify a user-defined routine entry/exit instrumentation. This analysis serves as a basis for a generic instrumentation component working on the source-code level where the instructions to be inserted can be flexibly configured. We evaluate the identified constructs with our prototypical implementation and show that these are sufficient to fulfill the needs of a number of todays' performance-analysis tools.

/pdf/a-generic-and-configurable-source-code-instrumentation-2jud63sgvk.pdf

A Generic and Configurable Source-Code Instrumentation Component

Scientific computing on massively parallel computers presents unique challenges to component-based software engineering (CBSE). While CBSE is at least as enabling for scientific computing as it is for other arenas, the requirements are different. We briefly discuss how these requirements shape the Common Component Architecture, and we describe some recent research on quality-of-service issues to address the computational performance and accuracy of scientific simulations.

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Computational quality of service for scientific components.

The role of instrumentation and mapping in performance measurement

c © 2006 by John von Neumann Institute for Computing Permission to make digital or hard copies of portions of this work for personal or classroom use is granted provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise requires prior specific permission by the publisher mentioned above.

Sameer Shende

Papers

Advances in the TAU performance system

A Generic and Configurable Source-Code Instrumentation Component

Computational quality of service for scientific components.

The role of instrumentation and mapping in performance measurement

Phase-Based Parallel Performance Profiling