Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Charles Siegel"'
Autor:
Strube Jan, Bhattacharya Kolahal, Church Eric, Daily Jeff, Malachi Schram, Charles Siegel, Kevin Wierman
Publikováno v:
EPJ Web of Conferences, Vol 214, p 06016 (2019)
Measurements in Liquid Argon Time Projection Chamber neutrino detectors feature large, high fidelity event images. Deep learning techniques have been extremely successful in classification tasks of photographs, but their application to these event im
Externí odkaz:
https://doaj.org/article/3d1ab29c01764a58931ead37c64be78b
Publikováno v:
Future Generation Computer Systems. 108:1162-1172
Deep Learning (DL) algorithms have become ubiquitous in data analytics. As a result, major computing vendors – including NVIDIA, Intel, AMD, and IBM – have architectural road maps influenced by DL workloads. Furthermore, several vendors have rece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15d4c8cdfdbeea00e08f8d19527a7932
https://doi.org/10.1016/j.future.2018.04.073
https://doi.org/10.1016/j.future.2018.04.073
Autor:
Tyler Peryea, Ahsan Habib Polash, Alessandra Roncaglioni, Daniel M. Wilson, Warren Casey, Patricia Ruiz, Nathalie Alépée, Sherif Farag, Giovanna J. Lavado, Kimberley M. Zorn, Alexey V. Zakharov, Davide Ballabio, Katrina M. Waters, Risa Sayre, Giuseppe Felice Mangiatordi, Orazio Nicolotti, Nicole Kleinstreuer, Pankaj R. Daga, Sean Ekins, Kamel Mansouri, Liguo Wang, Judy Strickland, Matthew J. Hirn, Sudin Bhattacharya, Dac-Trung Nguyen, Emilio Benfenati, Ignacio J. Tripodi, Amanda K. Parks, Garett Goh, Dennis G. Thomas, Glenn J. Myatt, Prachi Pradeep, Gergely Zahoranszky-Kohalmi, Anton Simeonov, Arthur C. Silva, Grace Patlewicz, Timothy Sheils, Stephen Boyd, Agnes L. Karmaus, Ahmed Sayed, Alex M. Clark, Todd M. Martin, Pavel Karpov, Jeffery M. Gearhart, Robert Rallo, D Allen, Charles Siegel, Zhen Zhang, Zijun Xiao, Alexander Tropsha, Stephen J. Capuzzi, Alexandru Korotcov, Carolina Horta Andrade, Noel Southall, Viviana Consonni, Igor V. Tetko, Jeremy M. Fitzpatrick, Andrew J. Wedlake, Denis Fourches, Zhongyu Wang, Vinicius M. Alves, Eugene N. Muratov, Timothy E. H. Allen, Andrea Mauri, James B. Brown, Alexandre Varnek, Yun Tang, Sanjeeva J. Wijeyesakere, Daniel P. Russo, Cosimo Toma, Christopher M. Grulke, Michael S. Lawless, Domenico Gadaleta, Paritosh Pande, Thomas Hartung, Jonathan M. Goodman, Kristijan Vukovic, Joyce V. Bastos, Daniela Trisciuzzi, Fagen F. Zhang, Domenico Alberga, Thomas Luechtefeld, Dan Marsh, Tyler R. Auernhammer, Shannon M. Bell, Xinhao Li, Brian J. Teppen, F. Lunghini, Sergey Sosnin, Hao Zhu, Feng Gao, Craig Rowlands, Tongan Zhao, R Todeschini, Valery Tkachenko, Francesca Grisoni, Hongbin Yang, Yaroslav Chushak, Maxim V. Fedorov, Heather L. Ciallella, Gilles Marcou
Publikováno v:
Environmental Health Perspectives
Environmental Health Perspectives, National Institute of Environmental Health Sciences, 2021, 129 (4), pp.047013. ⟨10.1289/EHP8495⟩
Environmental Health Perspectives, National Institute of Environmental Health Sciences, 2021, 129 (4), pp.047013. ⟨10.1289/EHP8495⟩
BACKGROUND: Humans are exposed to tens of thousands of chemical substances that need to be assessed for their potential toxicity. Acute systemic toxicity testing serves as the basis for regulatory hazard classification, labeling, and risk management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f10be9a3f401d14e1b5653e1242ab66
https://www.repository.cam.ac.uk/handle/1810/322114
https://www.repository.cam.ac.uk/handle/1810/322114
Autor:
Christian Siever, Fabian J. Theis, Sathyanarayanan Manamohan, Kristian Haendler, Saikat Mukherjee, Anna Drews, Joachim L. Schultze, Maria Saridaki, Sofia Ktena, Evangelos J. Giamarellos-Bourboulis, Eng Lim Goh, Melanie Nuesch-Germano, Monique M.B. Breteler, Woodacre Michael S, Milind Desai, N. Ahmad Aziz, Vishesh Garg, Stefanie Warnat-Herresthal, Michael Kraut, Anna C. Aschenbrenner, Ravi Sarveswara, Mihai G. Netea, German Covid Omics Initiative, Peter Pickkers, Matthias Becker, Thomas Ulas, Matthijs Kox, Sorin Cheran, Heidi Theis, Krishna Prasad Lingadahalli Shastry, Charles Siegel, Bruno Monet, Hartmut Schultze
Identification of patients with life-threatening diseases including leukemias or infections such as tuberculosis and COVID-19 is an important goal of precision medicine. We recently illustrated that leukemia patients are identified by machine learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df12633f9332d32db330f1342c1fe62b
https://doi.org/10.1101/2020.06.25.171009
https://doi.org/10.1101/2020.06.25.171009
Publikováno v:
IPDPS Workshops
Sparse Matrix-Vector multiplication (SpMV) is a key kernel for many applications in computational science and data analytics. Several efforts have addressed the optimization of SpMV on GPUs, and a number of compact sparse-matrix representations have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f1753cee1b45ed4a61b3a23bf1e680b
https://doi.org/10.29007/lnnt
https://doi.org/10.29007/lnnt
Routing questions in Community Question Answer services (CQAs) such as Stack Exchange sites is a well-studied problem. Yet, cold-start -- a phenomena observed when a new question is posted is not well addressed by existing approaches. Additionally, c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e332f609de1977efefb50f30ed578580
http://arxiv.org/abs/1807.00462
http://arxiv.org/abs/1807.00462
Publikováno v:
HPDC
Today's large-scale supercomputers encounter faults on a daily basis. Exascale systems are likely to experience even higher fault rates due to increased component count and density. Triggering resilience-mitigating techniques remains a challenge due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f95472c31182de7ca49d8f3391e432e
https://doi.org/10.1145/3208040.3208051
https://doi.org/10.1145/3208040.3208051
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319729701
PMBS@SC
PMBS@SC
Scaling deep learning workloads across multiple GPUs on a single node has become increasingly important in data analytics. A key question is how well a PCIe-based GPU interconnect can perform relative to a custom high-performance interconnect such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35c7774e0668de4011e4f919fc09aa13
https://doi.org/10.1007/978-3-319-72971-8_1
https://doi.org/10.1007/978-3-319-72971-8_1
Publikováno v:
ICMLA
Buildings consume almost 40\% of energy in the US. In order to optimize the operation of buildings, models that describe the relationship between energy consumption and control knobs such as set-points with high predictive capability are required. Da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7141b76316cbce833614bc4dfa525a5
https://doi.org/10.1109/icmla.2017.00079
https://doi.org/10.1109/icmla.2017.00079
Publikováno v:
EuroMPI/USA
Deep Learning (DL) algorithms have become the de facto Machine Learning (ML) algorithm for large scale data analysis. DL algorithms are computationally expensive - even distributed DL implementations which use MPI require days of training (model lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb996124e736a2c12c47db559b56bdcf
http://arxiv.org/abs/1709.03316
http://arxiv.org/abs/1709.03316