Search NASA⌕ Search

SEARCH · Search NASA

Results for “Infrastructure”

Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,513 records · Page 84
All sourcesNASA NTRSDOE OSTI
DOE OSTI2014

Method and infrastructure for cycle-reproducible simulation on large scale digital circuits on a coordinated set of field-programmable gate arrays (FPGAs)

A plurality of target field programmable gate arrays are interconnected in accordance with a connection topology and map portions of a target system. A control module is coupled to the plurality of target field programmable gate arrays. A balanced clock distribution network is configured to distribute a reference clock signal, and a balanced reset distribution network is coupled to the control module and configured to distribute a reset signal to the plurality of target field programmable gate arrays. The control module and the balanced reset distribution network are cooperatively configured to initiate and control a simulation of the target system with the plurality of target field programmable gate arrays. A plurality of local clock control state machines reside in the target field programmable gate arrays. The local clock state machines are configured to generate a set of synchronized free-running and stoppable clocks to maintain cycle-accurate and cycle-reproducible execution of the simulation of the target system. A method is also provided.

97 MATHEMATICS AND COMPUTING↗
DOE OSTI2014

A Qualitative Readiness-Requirements Assessment Model for Enterprise Big-Data Infrastructure Investment

In the last three decades, there has been an exponential growth in the area of information technology providing the information processing needs of data-driven businesses in government, science, and private industry in the form of capturing, staging, integrating, conveying, analyzing, and transferring data that will help knowledge workers and decision makers make sound business decisions. Data integration across enterprise warehouses is one of the most challenging steps in the big data analytics strategy. Several levels of data integration have been identified across enterprise warehouses: data accessibility, common data platform, and consolidated data model. Each level of integration has its own set of complexities that requires a certain amount of time, budget, and resources to implement. Such levels of integration are designed to address the technical challenges inherent in consolidating the disparate data sources. In this paper, we present a methodology based on industry best practices to measure the readiness of an organization and its data sets against the different levels of data integration. We introduce a new Integration Level Model (ILM) tool, which is used for quantifying an organization and data system s readiness to share data at a certain level of data integration. It is based largely on the established and accepted framework provided in the Data Management Association (DAMA-DMBOK). It comprises several key data management functions and supporting activities, together with several environmental elements that describe and apply to each function. The proposed model scores the maturity of a system s data governance processes and provides a pragmatic methodology for evaluating integration risks. The higher the computed scores, the better managed the source data system and the greater the likelihood that the data system can be brought in at a higher level of integration.

Big data↗
DOE OSTI2015

Promoting Strong ISO 50001 Outcomes with Supportive National Infrastructure

The ISO 50001 standard is a key mechanism for reducing greenhouse gas emissions and improving energy efficiency globally. An increasing number of companies are seeking certification, creating the need for personnel that are competent to conduct ISO 50001 certification audits. The growth of ISO 50001 is expected to accelerate as more companies integrate ISO 50001 into their corporate sustainability strategies and supplier requirements. Robust implementation of ISO 50001 represents an important tool for countries with climate change mitigation goals. Because of its dual focus on continual improvement of an organization’s energy management system (EnMS) and its energy performance improvement, ISO 50001 requires skills of both implementers and certification auditors that are not well-supported by current credentials and training. This paper describes an effort to address skill gaps of certification auditors, a critical factor to ensure that ISO 50001 implementations are robust and result in continued energy performance improvement. A collaboration of governments through the Energy Management Working Group (EMWG), formerly under Global Superior Energy Performance (GSEP), has formed to build workforce capacity for ISO 50001 certification audits. The EMWG is leading the development of an internationally-relevant certification scheme for ISO 50001 Lead Auditor that meets requirements for ISO/IEC 17024 accreditation and ISO 50003 for defining ISO 50001 Lead Auditor competency. Wider availability of competent ISO 50001 Lead Auditors will ultimately increase the impact and market value of ISO 50001 certification and improve consistency of ISO 50001 certification outcomes by establishing a standardized and high level of knowledge and skills globally.

Siciliano, Graziella↗