Search Results - "Gawande, Nitin A."

Modeling microbiological and chemical processes in municipal solid waste bioreactor, part I: Development of a three-phase numerical model BIOKEMOD-3P by Gawande, Nitin A., Reinhart, Debra R., Yeh, Gour-Tsyh

“…The numerical computer models that simulate municipal solid waste (MSW) bioreactor landfills have mainly two components – a biodegradation process module and a…”
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Modeling microbiological and chemical processes in municipal solid waste bioreactor, part II: Application of numerical model BIOKEMOD-3P by Gawande, Nitin A., Reinhart, Debra R., Yeh, Gour-Tsyh

“…Biodegradation process modeling of municipal solid waste (MSW) bioreactor landfills requires the knowledge of various process reactions and corresponding…”
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Field evaluation of resistivity sensors for in situ moisture measurement in a bioreactor landfill by Kumar, Dinesh, Jonnalagadda, Sreeram, Jain, Pradeep, Gawande, Nitin A., Townsend, Timothy G., Reinhart, Debra R.

“…The ability of resistance-based sensors to measure in situ waste moisture content in a landfill was examined. One hundred and thirty-five resistance-based…”
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Municipal solid waste in situ moisture content measurement using an electrical resistance sensor by Gawande, Nitin A., Reinhart, Debra R., Thomas, Philip A., McCreanor, Philip T., Townsend, Timothy G.

“…Moisture content (MC) is a crucial parameter for degradation of solid waste in landfills. Present MC measurement techniques suffer from several drawbacks. A…”
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Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing by Gawande, Nitin A., Daily, Jeff A., Siegel, Charles, Tallent, Nathan R., Vishnu, Abhinav

“…Deep Learning (DL) algorithms have become ubiquitous in data analytics. As a result, major computing vendors – including NVIDIA, Intel, AMD, and IBM – have…”
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Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing by Gawande, Nitin A., Daily, Jeff A., Siegel, Charles, Tallent, Nathan R., Vishnu, Abhinav

“…Deep Learning (DL) algorithms have become ubiquitous in data analytics. As a result, major computing vendors—including NVIDIA, Intel, AMD, and IBM—have…”
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Power and performance trade-offs for Space Time Adaptive Processing by Gawande, Nitin A., Manzano, Joseph B., Tumeo, Antonino, Tallent, Nathan R., Kerbyson, Darren J., Hoisie, Adolfy

“…Power efficiency - performance relative to power - is one of the most important concerns when designing RADAR processing systems. This paper analyzes power and…”
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Algorithm and Architecture Independent Benchmarking with SEAK by Tallent, Nathan R., Manzano, Joseph B., Gawande, Nitin A., Seunghwa Kang, Kerbyson, Darren J., Hoisie, Adolfy, Cross, Joseph K.

“…Many applications of high performance embedded computing are constrained by performance or power bottlenecks. We designed a new benchmark suite, the Suite for…”
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Accelerating subsurface transport simulation on heterogeneous clusters by Villa, Oreste, Gawande, Nitin, Tumeo, Antonino

“…Reactive transport numerical models simulate chemical and microbiological reactions that occur along a flow-path. These models have to compute reactions for a…”
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Modeling microbiological and chemical processes in municipal solid waste bioreactor: Development and applications of a three-phase numerical model BIOKEMOD-3P by Gawande, Nitin A

“…The numerical computer models that simulate municipal solid waste (MSW) bioreactor landfills have mainly two components—a biodegradation process module and a…”
Get full text

Scaling Deep Learning Workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing by Gawande, Nitin A., Landwehr, Joshua B., Daily, Jeff A., Tallent, Nathan R., Vishnu, Abhinav, Kerbyson, Darren J.

“…Deep Learning (DL) algorithms have become ubiquitous in data analytics. As a result, major computing vendors - including NVIDIA, Intel, AMD and IBM - have…”
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Accelerating the Global Arrays ComEx Runtime Using Multiple Progress Ranks by Gawande, Nitin, Kowalski, Karol, Palmer, Bruce, Krishnamoorthy, Sriram, Apra, Edoardo, Manzano, Joseph, Amatya, Vinay, Crawford, Jonathan

“…Partitioned Global Address Space (PGAS) models are a part of system software that is being designed to support communication runtimes for exascale…”
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