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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.

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All sourcesNASA NTRSDOE OSTI
DOE OSTI2015

Scalable Out-of-Core Solvers on Xeon Phi Cluster

This paper documents the implementation of a distributive out-of-core (OOC) solver for performing LU and Cholesky factorizations of a large dense matrix on clusters of many-core programmable co-processors. The out-of- core algorithm combines both the left-looking and right-looking schemes aimed to minimize the movement of data between the CPU host and the co-processor, optimizing data locality as well as computing throughput. The OOC solver is built to align with the format of the ScaLAPACK software library, making it readily portable to any existing codes using ScaLAPACK. A runtime analysis conducted on Beacon (an Intel Xeon plus Intel Xeon Phi cluster which composed of 48 nodes of multi-core CPU and MIC) at the Na- tional Institute for Computational Sciences is presented. Comparison of the performance on the Intel Xeon Phi and GPU clusters are also provided.

D'Azevedo, Ed F↗
DOE OSTI2016

Towards a Scalable Group Vehicle-based Security System

In August 2014, the National Highway Traffic Safety Administration (NHTSA) proposed new rulemaking to require V2V communication in light vehicles. To establish trust in the basic safety messages (BSMs) that are exchanged by vehicles to improve driver safety, a vehicle public key infrastructure (VPKI) is required. We outline a system where a group or groups of vehicles manage and generate their own BSM signing keys and authenticating certificates -- a Vehicle-Based Security System (VBSS). Based on our preliminary examination, we assert the mechanisms exist to implement a VBSS that supports V2V communications; however, maintaining uniform trust throughout the system while protecting individual privacy does require reliance on nascent group signature technology which may require a significant amount of communication overhead for trust maintenance. To better evaluate the VBSS approach, we compare it to the proposed Security Credential Management System (SCMS) in four major areas including bootstrapping, pseudonym provisioning, BSM signing and authentication, and revocation. System scale, driver privacy, and the distribution and dynamics of participants make designing an effective VPKI an interesting and challenging problem; no clear-cut strategy exists to satisfy the security and privacy expectations in a highly efficient way. More work is needed in VPKI research, so the life-saving promise of V2V technology can be achieved.

Carter, Jason M↗
DOE OSTI2012

Scalable, Secure Analysis of Social Sciences Data on the Azure Platform

Human activity and interaction data is beginning to be collected at population scales through the pervasiveness of social media and willingness of people to volunteer information. This can allow social science researchers to understand and model human behavior with better accuracy and prediction power. Political and social scientists are starting to correlate such large scale social media datasets with events that impact society as evidence abound of the virtual and physical public spaces intersecting and influencing each other [1,2]. Managers of Cyber Physical Systems such as Smart Power Grid utilities are investigating the impact of consumer behavior on power consumption, and the possibility of influencing the usage profile [3]. Data collection is also made easier through technology such as mobile apps, social media sites and search engines that directly collect data, and sensors such smart meters and room occupancy sensors that indirectly measure human activity. These technology platforms also provide a convenient framework for “human sensors” to record and broadcast data for behavioral studies, as a form of crowd sourced citizen science. This has the added advantage of engaging the broader public in STEM activities and help influence public policy.

Simmhan, Yogesh↗