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ORCIDMelissa C. Smith
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2020 – today
- 2023
[j20]Megan Hickman Fulp
, Dakota Fulp, Changfeng Zou, Cooper Sanders, Ayan Biswas, Melissa C. Smith, Jon C. Calhoun:
Accelerated dynamic data reduction using spatial and temporal properties. Int. J. High Perform. Comput. Appl. 37(5): 539-559 (2023)- [c23]Max Henry Faykus, Jon Calhoun, Melissa C. Smith:
Lossy and Lossless Compression for BioFilm Optical Coherence Tomography (OCT). SC Workshops 2023: 281-288 - 2022
- [j19]Josh J. R. Burns, Benjamin T. Shealy, Mitchell S. Greer, John A. Hadish, Matthew McGowan, Tyler Biggs, Melissa C. Smith, F. Alex Feltus, Stephen P. Ficklin:
Addressing noise in co-expression network construction. Briefings Bioinform. 23(1) (2022) - [j18]John A. Hadish, Tyler Biggs, Benjamin T. Shealy, M. Reed Bender, Coleman McKnight, Connor Wytko, Melissa C. Smith, F. Alex Feltus, Loren A. Honaas, Stephen P. Ficklin:
GEMmaker: process massive RNA-seq datasets on heterogeneous computational infrastructure. BMC Bioinform. 23(1): 156 (2022) - [c22]Max H. Faykus, Bradley Selee, Jon C. Calhoun, Melissa C. Smith:
Lossy Compression to Reduce Latency of Local Image Transfer for Autonomous Off-Road Perception Systems. IEEE Big Data 2022: 3146-3152 - 2021
- [j17]Benjamin T. Shealy, Mehrdad Yousefi, Ashwin Trikuta Srinath, Melissa C. Smith, Ulf D. Schiller:
GPU Acceleration of the HemeLB Code for Lattice Boltzmann Simulations in Sparse Complex Geometries. IEEE Access 9: 61224-61236 (2021) - [j16]Ju Lin, Adriaan J. de Lind van Wijngaarden, Kuang-Ching Wang, Melissa C. Smith:
Speech Enhancement Using Multi-Stage Self-Attentive Temporal Convolutional Networks. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3440-3450 (2021) - [j15]Afshin Ahmadi, Felice Manganiello, Amin Khademi, Melissa C. Smith:
A Parallel Jacobi-Embedded Gauss-Seidel Method. IEEE Trans. Parallel Distributed Syst. 32(6): 1452-1464 (2021) - [c21]Brad Green, Dillon Todd, Jon C. Calhoun, Melissa C. Smith:
TIGRA: A Tightly Integrated Generic RISC-V Accelerator Interface. CLUSTER 2021: 779-782 - [c20]Ju Lin, Adriaan J. de Lind van Wijngaarden, Melissa C. Smith, Kuang-Ching Wang:
Speaker-Aware Speech Enhancement with Self-Attention. EUSIPCO 2021: 486-490 - [c19]Snigdhaswin Kar, Prabodh Mishra, Ju Lin, Min-Jae Woo, Nicholas Deas, Caleb Linduff, Sufeng Niu, Yuzhe Yang, Jerome McClendon, D. Hudson Smith, Melissa C. Smith, Ronald W. Gimbel, Kuang-Ching Wang:
Systematic Evaluation and Enhancement of Speech Recognition in Operational Medical Environments. IJCNN 2021: 1-8 - [c18]Benjamin T. Shealy, F. Alex Feltus, Melissa C. Smith:
Intelligent Resource Provisioning for Scientific Workflows and HPC. WORKS 2021: 9-16 - [i4]Ju Lin, Adriaan J. de Lind van Wijngaarden, Kuang-Ching Wang, Melissa C. Smith:
Speech Enhancement Using Multi-Stage Self-Attentive Temporal Convolutional Networks. CoRR abs/2102.12078 (2021) - [i3]Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun, Franck Cappello, Melissa C. Smith:
Towards Aggregated Asynchronous Checkpointing. CoRR abs/2112.02289 (2021) - 2020
- [j14]Colin Targonski, M. Reed Bender, Benjamin T. Shealy, Benafsh Husain, Bill Paseman, Melissa C. Smith, F. Alex Feltus:
Cellular State Transformations Using Deep Learning for Precision Medicine Applications. Patterns 1(6): 100087 (2020) - [c17]Ju Lin, Sufeng Niu, Adriaan J. de Lind van Wijngaarden, Jerome L. McClendon, Melissa C. Smith, Kuang-Ching Wang:
Improved Speech Enhancement Using a Time-Domain GAN with Mask Learning. INTERSPEECH 2020: 3286-3290
2010 – 2019
- 2019
- [j13]Benjamin T. Shealy, Josh J. R. Burns, Melissa C. Smith, F. Alex Feltus, Stephen P. Ficklin:
GPU Implementation of Pairwise Gaussian Mixture Models for Multi-Modal Gene Co-Expression Networks. IEEE Access 7: 160845-160857 (2019) - [c16]Ju Lin, Sufeng Niu, Zice Wei, Xiang Lan, Adriaan J. de Lind van Wijngaarden, Melissa C. Smith, Kuang-Ching Wang:
Speech Enhancement Using Forked Generative Adversarial Networks with Spectral Subtraction. INTERSPEECH 2019: 3163-3167 - [i2]Colin Targonski, Benjamin T. Shealy, Melissa C. Smith, F. Alex Feltus:
Cellular State Transformations using Generative Adversarial Networks. CoRR abs/1907.00118 (2019) - 2018
- [c15]Sufeng Niu, Siheng Chen, Hanyu Guo, Colin Targonski, Melissa C. Smith, Jelena Kovacevic:
Generalized Value Iteration Networks: Life Beyond Lattices. AAAI 2018: 6246-6253 - [c14]André Luckow, Ken Kennedy, Marcin Ziolkowski, Emil Djerekarov, Matthew Cook, Edward B. Duffy, Michael Schleiss, Bennie Vorster, Edwin Weill, Ankit Kulshrestha, Melissa C. Smith:
Artificial Intelligence and Deep Learning Applications for Automotive Manufacturing. IEEE BigData 2018: 3144-3152 - 2017
- [i1]Sufeng Niu, Siheng Chen, Hanyu Guo, Colin Targonski, Melissa C. Smith, Jelena Kovacevic:
Generalized Value Iteration Networks: Life Beyond Lattices. CoRR abs/1706.02416 (2017) - 2016
- [c13]Zahra Ronaghi, Karan Sapra, Ryan Izard, Edward B. Duffy, Melissa C. Smith, Kuang-Ching Wang, David M. Kwartowitz:
HPC enabled real-time remote processing of laparoscopic surgery. Medical Imaging: Image-Guided Procedures 2016: 97861U - 2015
- [j12]Vivek K. Pallipuram, Melissa C. Smith, Nilim Sarma, Ranajeet Anand, Edwin Weill, Karan Sapra:
Subjective versus objective: classifying analytical models for productive heterogeneous performance prediction. J. Supercomput. 71(1): 162-201 (2015) - [c12]Keerthan Jaic, Melissa C. Smith:
Enhancing Hardware Design Flows with MyHDL. FPGA 2015: 28-31 - 2014
- [j11]Vivek K. Pallipuram, Melissa C. Smith, Nimisha Raut, Xiaoyu Ren:
A regression-based performance prediction framework for synchronous iterative algorithms on general purpose graphical processing unit clusters. Concurr. Comput. Pract. Exp. 26(2): 532-560 (2014) - [j10]Melissa C. Smith, Kubilay Atasu:
Guest Editorial: Application Specific Processors and Architectures. J. Signal Process. Syst. 77(1-2): 1-3 (2014) - [c11]Keerthan Jaic, Melissa C. Smith, Nilim Sarma:
A practical network intrusion detection system for inline FPGAs on 10GbE network adapters. ASAP 2014: 180-181 - [c10]Sufeng Niu, Guangyu Yang, Nilim Sarma, Pengfei Xuan, Melissa C. Smith, Pradip K. Srimani, Feng Luo:
Combining Hadoop and GPU to preprocess large Affymetrix microarray data. IEEE BigData 2014: 692-700 - 2013
- [j9]F. Alex Feltus, Stephen P. Ficklin, Scott M. Gibson, Melissa C. Smith:
Maximizing capture of gene co-expression relationships through pre-clustering of input expression samples: an Arabidopsis case study. BMC Syst. Biol. 7: 44 (2013) - [c9]Karan Sapra, Benafsh Husain, Richard R. Brooks, Melissa C. Smith:
Circumventing keyloggers and screendumps. MALWARE 2013: 103-108 - 2012
- [j8]Melissa C. Smith, Gregory D. Peterson:
Optimization of Shared High-Performance Reconfigurable Computing Resources. ACM Trans. Embed. Comput. Syst. 11(2): 36:1-36:22 (2012) - [j7]Vivek K. Pallipuram, Mohammad Ashraf Bhuiyan, Melissa C. Smith:
A comparative study of GPU programming models and architectures using neural networks. J. Supercomput. 61(3): 673-718 (2012) - 2011
- [j6]Mohammad Ashraf Bhuiyan, Melissa C. Smith, Vivek K. Pallipuram:
Performance, optimization, and fitness: Connecting applications to architectures. Concurr. Comput. Pract. Exp. 23(10): 1066-1100 (2011) - [j5]Greg Stitt, Alan D. George, Herman Lam, Melissa C. Smith, Vikas Aggarwal, Gongyu Wang, Casey Reardon, Brian Holland, Seth Koehler, James Coole:
An End-to-End Tool Flow for FPGA-Accelerated Scientific Computing. IEEE Des. Test Comput. 28(4): 68-77 (2011) - [j4]Brian Holland, Alan D. George, Herman Lam, Melissa C. Smith:
An analytical model for multilevel performance prediction of Multi-FPGA systems. ACM Trans. Reconfigurable Technol. Syst. 4(3): 27:1-27:28 (2011) - 2010
- [c8]Ananth Nallamuthu, Melissa C. Smith, Scott S. Hampton, Pratul K. Agarwal, Sadaf R. Alam:
Energy efficient biomolecular simulations with FPGA-based reconfigurable computing. Conf. Computing Frontiers 2010: 83-84 - [c7]Mohammad Ashraf Bhuiyan, Vivek K. Pallipuram, Melissa C. Smith:
Acceleration of spiking neural networks in emerging multi-core and GPU architectures. IPDPS Workshops 2010: 1-8 - [c6]Mohammad Ashraf Bhuiyan, Ananth Nallamuthu, Melissa C. Smith, Vivek K. Pallipuram:
Optimization and performance study of large-scale biological networks for reconfigurable computing. HPRCTA@SC 2010: 1-9
2000 – 2009
- 2009
- [c5]Kenneth L. Rice, Mohammad Ashraf Bhuiyan, Tarek M. Taha, Christopher N. Vutsinas, Melissa C. Smith:
FPGA Implementation of Izhikevich Spiking Neural Networks for Character Recognition. ReConFig 2009: 451-456 - 2007
- [j3]Sadaf R. Alam, Pratul K. Agarwal, Melissa C. Smith, Jeffrey S. Vetter, David Caliga:
Using FPGA Devices to Accelerate Biomolecular Simulations. Computer 40(3): 66-73 (2007) - [j2]Sadaf R. Alam, Pratul K. Agarwal, Jeffrey S. Vetter, Melissa C. Smith:
Throughput Improvement of Molecular Dynamics Simulations Using Reconfigurable Computing. Scalable Comput. Pract. Exp. 8(4) (2007) - [c4]Sadaf R. Alam, Jeffrey S. Vetter, Melissa C. Smith:
An Application Specific Memory Characterization Technique for Co-processor Accelerators. ASAP 2007: 353-358 - 2006
- [c3]Rajagopal Subramaniyan, Ian A. Troxel, Alan D. George, Melissa C. Smith:
Simulative analysis of dynamic scheduling heuristics for reconfigurable computing of parallel applications. FPGA 2006: 230 - 2005
- [j1]Melissa C. Smith, Gregory D. Peterson:
Parallel application performance on shared high performance reconfigurable computing resources. Perform. Evaluation 60(1-4): 107-125 (2005) - [c2]Xuejun Liang, Jeffrey S. Vetter, Melissa C. Smith, Arthur S. Bland:
Balancing FPGA Resource Utilities. ERSA 2005: 156-162 - [c1]Melissa C. Smith, Jeffrey S. Vetter, Xuejun Liang:
Accelerating Scientific Applications with the SRC-6 Reconfigurable Computer: Methodologies and Analysis. IPDPS 2005
Coauthor Index
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