Search Results - "D'Imperio, Nicholas"

Survival analysis of localized prostate cancer with deep learning by Dai, Xin, Park, Ji Hwan, Yoo, Shinjae, D’Imperio, Nicholas, McMahon, Benjamin H., Rentsch, Christopher T., Tate, Janet P., Justice, Amy C.

“…In recent years, data-driven, deep-learning-based models have shown great promise in medical risk prediction. By utilizing the large-scale Electronic Health…”
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Numerical methods for simulation of high-intensity hadron synchrotrons by Luccio, Alfredo U., D’Imperio, Nicholas, Malitsky, Nikolay

“…Numerical algorithms for PIC simulation of beam dynamics in a high-intensity synchrotron on a parallel computer are presented. We introduce numerical solvers…”
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Accelerated impurity solver for DMFT and its diagrammatic extensions by Melnick, Corey, Sémon, Patrick, Yu, Kwangmin, D'Imperio, Nicholas, Tremblay, André-Marie, Kotliar, Gabriel

“…Here, we present ComCTQMC, a GPU accelerated quantum impurity solver. It uses the continuous-time quantum Monte Carlo (CTQMC) algorithm wherein the partition…”
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Accelerated impurity solver for DMFT and its diagrammatic extensions by Melnick, Corey, Sémon, Patrick, Yu, Kwangmin, D'Imperio, Nicholas, Tremblay, André-Marie, Kotliar, Gabriel

“…We present ComCTQMC, a GPU accelerated quantum impurity solver. It uses the continuous-time quantum Monte Carlo (CTQMC) algorithm wherein the partition…”
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Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network Training by Yu, Kwangmin, Flynn, Thomas, Yoo, Shinjae, D'Imperio, Nicholas

“…Stochastic Gradient Descent (SGD) is the most popular algorithm for training deep neural networks (DNNs). As larger networks and datasets cause longer training…”
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Accelerated impurity solver for DMFT and its diagrammatic extensions by Melnick, Corey, Sémon, Patrick, Yu, Kwangmin, D'Imperio, Nicholas, Tremblay, André-Marie, Kotliar, Gabriel

“…We present ComCTQMC, a GPU accelerated quantum impurity solver. It uses the continuous-time quantum Monte Carlo (CTQMC) algorithm wherein the partition…”
Get full text

Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool by Ha, Sungsoo, Jeong, Wonyong, Matyasfalvi, Gyorgy, Xie, Cong, Huck, Kevin, Choi, Jong Youl, Malik, Abid, Tang, Li, Van Dam, Hubertus, Pouchard, Line, Xu, Wei, Yoo, Shinjae, D'Imperio, Nicholas, Van Dam, Kerstin Kleese

“…Because of the limits input/output systems currently impose on high-performance computing systems, a new generation of workflows that include online data…”
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