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Melissa C. Smith
Melissa C. Smith
Professor in Electrical and Computer Engineering, Clemson University
Verified email at clemson.edu - Homepage
Title
Cited by
Cited by
Year
PHENIX detector overview
K Adcox, SS Adler, M Aizama, NN Ajitanand, Y Akiba, H Akikawa, ...
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2003
10312003
PHENIX calorimeter
L Aphecetche, TC Awes, J Banning, S Bathe, A Bazilevsky, S Belikov, ...
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2003
4122003
PHENIX central arm tracking detectors
K Adcox, NN Ajitanand, J Alexander, D Autrey, R Averbeck, B Azmoun, ...
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2003
3072003
The PHENIX experiment at RHIC
DP Morrison, Y Akiba, O Alford, M Allen, W Allen, G Alley, Y Arai, ...
Nuclear Physics A 638 (1-2), 565c-569c, 1998
1471998
FPGA implementation of Izhikevich spiking neural networks for character recognition
KL Rice, MA Bhuiyan, TM Taha, CN Vutsinas, MC Smith
2009 International Conference on Reconfigurable Computing and FPGAs, 451-456, 2009
1222009
Using FPGA devices to accelerate biomolecular simulations
SR Alam, PK Agarwal, MC Smith, JS Vetter, D Caliga
Computer 40 (3), 66-73, 2007
1152007
PHENIX on-line systems
SS Adler, M Allen, G Alley, R Amirikas, Y Arai, TC Awes, KN Barish, ...
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2003
1032003
Acceleration of spiking neural networks in emerging multi-core and GPU architectures
MA Bhuiyan, VK Pallipuram, MC Smith, T Taha, R Jalasutram
2010 IEEE International Symposium on Parallel & Distributed Processing …, 2010
822010
A generalized deep learning approach for local structure identification in molecular simulations
RS DeFever, C Targonski, SW Hall, MC Smith, S Sarupria
Chemical science 10 (32), 7503-7515, 2019
712019
Generalized value iteration networks: Life beyond lattices
S Niu, S Chen, H Guo, C Targonski, MC Smith, J Kovačević
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
692018
Massive-scale gene co-expression network construction and robustness testing using random matrix theory
SM Gibson, SP Ficklin, S Isaacson, F Luo, FA Feltus, MC Smith
PloS one 8 (2), 2013
652013
Artificial Intelligence and Deep Learning Applications for Automotive Manufacturing
A Luckow, K Kennedy, M Ziolkowski, E Djerekarov, M Cook, E Duffy, ...
2018 IEEE international conference on Big Data (Big Data), 3144-3152, 2018
572018
Parallel application performance on shared high performance reconfigurable computing resources
MC Smith, GD Peterson
Performance Evaluation 60 (1-4), 107-125, 2005
542005
Construction and performance of the PHENIX pad chambers
K Adcox, J Ajitanand, J Alexander, J Barrette, R Belkin, D Borland, ...
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2003
532003
A comparative study of GPU programming models and architectures using neural networks
VK Pallipuram, M Bhuiyan, MC Smith
The Journal of Supercomputing 61 (3), 673-718, 2012
512012
Accelerating scientific applications with the SRC-6 reconfigurable computer: Methodologies and analysis
MC Smith, JS Vetter, X Liang
19th IEEE International Parallel and Distributed Processing Symposium, 8 pp., 2005
492005
Speech enhancement using multi-stage self-attentive temporal convolutional networks
J Lin, AJL van Wijngaarden, KC Wang, MC Smith
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 3440-3450, 2021
462021
Scientific computing beyond CPUs: FPGA implementations of common scientific kernels
MC Smith, JS Vetter, SR Alam
2005 MAPLD International Conference, 2005
412005
Maximizing capture of gene co-expression relationships through pre-clustering of input expression samples: an Arabidopsis case study
FA Feltus, SP Ficklin, SM Gibson, MC Smith
BMC systems biology 7 (1), 44, 2013
312013
An analytical model for multilevel performance prediction of Multi-FPGA systems
B Holland, AD George, H Lam, MC Smith
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 4 (3), 1-28, 2011
282011
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