NBC News Scripts
WBAP-TV (Television station : Fort Worth, Tex.)
1954-12-31
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12 records were found.
In this project, we proposed to create new technology for performance observation and analysis of large-scale tera-class parallel computer systems and applications in this project.
Large-scale, complex scientific applications are beginning to benefit from the use of component software design methodology and technology for software development. Integral to the success of component-based applications is the ability to achieve high-performing code solutions through the use of performance engineering tools for both intra-component and inter-component analysis and optimization. Our work on this project aimed to develop performance engineering technology for scientific component software in association with the DOE CCTTSS SciDAC project (active during the contract period) and the broader Common Component Architecture (CCA) community. Our specific implementation objectives were to extend the TAU performance system and Program Database Toolkit (PDT) to support performance instrumentation, measurement, and analysis of CCA...
This is the final progress report for the FastOS (Phase 2) (FastOS-2) project with Argonne National Laboratory and the University of Oregon (UO). The project started at UO on July 1, 2008 and ran until April 30, 2010, at which time a six-month no-cost extension began. The FastOS-2 work at UO delivered excellent results in all research work areas: * scalable parallel monitoring * kernel-level performance measurement * parallel I/0 system measurement * large-scale and hybrid application performance measurement * onlne scalable performance data reduction and analysis * binary instrumentation
Our accomplishments over the last three years of the DOE project Application- Specific Performance Technology for Productive Parallel Computing (DOE Agreement: DE-FG02-05ER25680) are described below. The project will have met all of its objectives by the time of its completion at the end of September, 2008. Two extensive yearly progress reports were produced in in March 2006 and 2007 and were previously submitted to the DOE Office of Advanced Scientific Computing Research (OASCR). Following an overview of the objectives of the project, we summarize for each of the project areas the achievements in the first two years, and then describe in some more detail the project accomplishments this past year. At the end, we discuss the relationship of the proposed renewal application to the work done on the current project.
The MOGO project was initiated under in 2008 under the DOE Program Announcement for Software Development Tools for Improved Ease-of-Use on Petascale systems (LAB 08-19). The MOGO team consisted of Oak Ridge National Lab, Argonne National Lab, and the University of Oregon. The overall goal of MOGO was to attack petascale performance analysis by developing a general framework where empirical performance data could be efficiently and accurately compared with performance expectations at various levels of abstraction. This information could then be used to automatically identify and remediate performance problems. MOGO was be based on performance models derived from application knowledge, performance experiments, and symbolic analysis. MOGO was able to make reasonable impact on existing DOE applications and systems. New tools and techniques...
The Workshop on Automatic Performance Analysis (WAPA 2005, Dagstuhl Seminar 05501), held December 13-16, 2005, brought together performance researchers, developers, and practitioners with the goal
of better understanding the methods, techniques, and tools that are needed for the automation of performance
analysis for high performance computing.
From 12.12.05 to 16.12.05, the Dagstuhl Seminar 05501 ``Automatic Performance Analysis'' was held in the International Conference and Research Center (IBFI),
Schloss Dagstuhl.
During the seminar, several participants presented their current
research, and ongoing work and open problems were discussed. Abstracts of
the presentations given during the seminar as well as abstracts of
seminar results and ideas are put together in this paper. The first section
describes the seminar topics and goals in general.
Links to extended abstracts or full papers are provided, if available.
As software complexity increases, the analysis of code behavior during its execution is becoming more important. Instru- mentation techniques, through the insertion of code directly into binaries, are essential to program analyses such as performance evaluation and profiling. In the context of high-performance parallel applications, building an instrumentation framework is quite challenging. One of the difficulties is due to the necessity to capture coarse grain behavior, such as the execution time of different functions, as well as finer-grain behavior in order to pinpoint performance issues. In this paper, we propose a language, MIL, for the development of program analysis tools based on static binary instrumentation. The key feature of MIL is to ease the integration of static, global program analysis with instrumentation. We will sh...
We present MINEMO (Minimal Information for Neural ElectroMagnetic Ontologies), a checklist for the description of event-related potentials (ERP) studies. MINEMO extends MINI (Minimal Information for Neuroscience Investigations)to the ERP domain. Checklist terms are explicated in NEMO, a formal ontology that is designed to support ERP data sharing and integration. MINEMO is also linked to an ERP database and web application (the NEMO portal). Users upload their data and enter MINEMO information through the portal. The database then stores these entries in RDF (Resource Description Framework), along with summary metrics, i.e., spatial and temporal metadata. Together these spatial, temporal, and functional metadata provide a complete description of ERP data and the context in which these data were acquired. The RDF files then serve as inp...
