Award Data

Next generation network applications will require high, dynamically-stable transport throughputs at the application level, in order to support such tasks as computational monitoring and steering on supercomputers, massive wide-area data transfers between storage systems, and remote instrument control. However, the current shared IP infrastructure is unsuited for providing the unimpeded stable ban ...

This project will develop software particularly well suited for applications requiring large-scale file transfers, visualization/remote steering, grid computing, and other high-end functionalities on dedicated ultra-high-speed networks. Storage and computing systems are facing growing challenges when inter-connecting across large wide-area network infrastructures. In particular, current technolog ...

An estimated 70% of supercomputing cycles are dedicated to solving large-scale least squares problems, which are at the core of important DOE computational problems in energy fusion research, bioinformatics, geodetics, structural analysis, tomography, and astrophysics. This project will extend the already successful Sca/LAPACKrc FPGA-accelerated solver suite for linear equations, with added functi ...

Over 70% of supercomputing usage today is dedicated to solving large systems of linear equations. Linear equations are at the core of the most important DOE computational problems in energy fusion research, accelerator simulations, weather modeling, oil & gas exploration, chemistry, materials, and astrophysics, among others. This project will provide computational power to the solution of large de ...

Many industrial processes in the chemical, petroleum, and pharmaceutical industries involve the transfer of heat from one medium to another. Usually, this transfer occurs within heat exchangers, which use thermal fluids to conduct the heat. However, most thermal fluids have thermal properties that require large heat exchangers or pumps. This project will develop a new class of fluids, PCM nanof ...

Cellulose is a highly sustainable global resource with considerable relevance to bio-ethanol production. Lignocellulose is a naturally occurring complex of plant-derived materials that includes the hydrophilic sugar polymers cellulose and hemicellulose, and the hydrophobic organic polymer lignin. Although lignocellulose is one of the most abundant and widespread bioenergy feedstocks available on E ...

The generation of a strong shock wave in the Spallation Neutron Source (SNS) can lead to cavitation and significant erosion on the vessel wall containing the liquid mercury target. Based on preliminary numerical and experimental work at various laboratories, it has been proposed that strategies such as inserting a cloud of small gas bubbles or a gas layer in the mercury target could absorb and de ...

The generation of a strong shock wave in the Spallation Neutron Source (SNS) can lead to cavitation and significant erosion on the vessel wall containing the liquid mercury target. Based on preliminary numerical and experimental work at various laboratories, it has been proposed that a cloud of small gas bubbles in the mercury target could absorb and deflect the shock waves and protect the walls ...

Traditional knowledge sources, such as thesauri and subject headings lists, are helpful for manual use, but the format of the encoded semantic information and the prevalent indexing and search tools are not well suited for Web retrieval applications. Classic examples of such knowledge sources are the ETDE/INIS Joint Thesaurus for energy information, the Library of Congress Subject Headings, and th ...

Traditional thesauri typically have entries with semantic relationships that are helpful for manual use, but the format of the semantic information is usually not conducive to their incorporation in Web retrieval applications. In addition, the number of thesaurus entries and relationships are limited, compared to the much larger and richer concept space of the scientific domain that a given thesau ...