Melissa C. Smith

发表

Combining Hadoop and GPU to preprocess large Affymetrix microarray data

Feng Luo, Sufeng Niu, Pradip K. Srimani, 2014, 2014 IEEE International Conference on Big Data (Big Data).

High performance reconfigurable computing systems

Gregory D. Peterson, Melissa C. Smith, M. C. Smith, 2001, Proceedings of the 44th IEEE 2001 Midwest Symposium on Circuits and Systems. MWSCAS 2001 (Cat. No.01CH37257).

Exploration of a Research Roadmap for Application Development and Execution on Field-Programmable Gate Array (FPGA)-Based Systems

Tarek El-Ghazawi, Alan D. George, Herman Lam, 2008 .

HPC enabled real-time remote processing of laparoscopic surgery

Kuang-Ching Wang, Zahra Ronaghi, Edward B. Duffy, 2016, SPIE Medical Imaging.

Balancing FPGA Resource Utilities

Jeffrey S. Vetter, Melissa C. Smith, Arthur S. Bland, 2005, ERSA.

Speech Enhancement Using Forked Generative Adversarial Networks with Spectral Subtraction

Kuang-Ching Wang, Sufeng Niu, Melissa C. Smith, 2019, INTERSPEECH.

An Application Specific Memory Characterization Technique for Co-processor Accelerators

Sadaf R. Alam, Jeffrey S. Vetter, Melissa C. Smith, 2007, 2007 IEEE International Conf. on Application-specific Systems, Architectures and Processors (ASAP).

A regression‐based performance prediction framework for synchronous iterative algorithms on general purpose graphical processing unit clusters

Vivek K. Pallipuram, Melissa C. Smith, M. C. Smith, 2014, Concurr. Comput. Pract. Exp..

Maximizing capture of gene co-expression relationships through pre-clustering of input expression samples: an Arabidopsis case study

Stephen P. Ficklin, Melissa C. Smith, M. C. Smith, 2013, BMC Systems Biology.

Optimization and performance study of large-scale biological networks for reconfigurable computing

Vivek K. Pallipuram, Melissa C. Smith, M. C. Smith, 2010, 2010 FOURTH INTERNATIONAL WORKSHOP ON HIGH-PERFORMANCE RECONFIGURABLE COMPUTING TECHNOLOGY AND APPLICATIONS (HPRCTA).

An analytical model for multilevel performance prediction of Multi-FPGA systems

Alan D. George, Herman Lam, Melissa C. Smith, 2011, TRETS.

Analytical modeling of high performance reconfigurable computers: prediction and analysis of system performance

Gregory D. Peterson, Melissa C. Smith, M. C. Smith, 2003 .

Parallel Power Flow based on OpenMP

Afshin Ahmadi, Shuangshuang Jin, Melissa C. Smith, 2018, 2018 North American Power Symposium (NAPS).

GPU Implementation of Pairwise Gaussian Mixture Models for Multi-Modal Gene Co-Expression Networks

Stephen P. Ficklin, Melissa C. Smith, M. C. Smith, 2019, IEEE Access.

Classification ofApplication Development forFPGA- BasedSystems

Tarek El-Ghazawi, Melissa C. Smith, Saumil G. Merchant, 2008 .

Throughput Improvement of Molecular Dynamics Simulations Using Reconfigurable Computing

Sadaf R. Alam, Jeffrey S. Vetter, Melissa C. Smith, 2001, Scalable Comput. Pract. Exp..

A practical network intrusion detection system for inline FPGAs on 10GbE network adapters

Nilim Sarma, Melissa C. Smith, Keerthan Jaic, 2014, 2014 IEEE 25th International Conference on Application-Specific Systems, Architectures and Processors.

Circumventing keyloggers and screendumps

Richard R. Brooks, Karan Sapra, Melissa C. Smith, 2013, 2013 8th International Conference on Malicious and Unwanted Software: "The Americas" (MALWARE).

Guest Editorial: Application Specific Processors and Architectures

Melissa C. Smith, Kubilay Atasu, 2014, J. Signal Process. Syst..

Improved Speech Enhancement Using a Time-Domain GAN with Mask Learning

Kuang-Ching Wang, Sufeng Niu, Melissa C. Smith, 2020, INTERSPEECH.

Evaluation of GPU Architectures Using Spiking Neural Networks

Vivek K. Pallipuram, Melissa C. Smith, M. C. Smith, 2011, 2011 Symposium on Application Accelerators in High-Performance Computing.

FPGA Implementation of Izhikevich Spiking Neural Networks for Character Recognition

Tarek M. Taha, Kenneth L. Rice, Christopher N. Vutsinas, 2009, 2009 International Conference on Reconfigurable Computing and FPGAs.

Parallel application performance on shared high performance reconfigurable computing resources

Gregory D. Peterson, Melissa C. Smith, 2005, Perform. Evaluation.

A comparative study of GPU programming models and architectures using neural networks

Vivek K. Pallipuram, Melissa C. Smith, Mohammad Ashraf Bhuiyan, 2011, The Journal of Supercomputing.

Using FPGA Devices to Accelerate Biomolecular Simulations

Sadaf R. Alam, Jeffrey S. Vetter, Melissa C. Smith, 2007, Computer.

Generalized Value Iteration Networks: Life Beyond Lattices pdf

Jelena Kovacevic, Sufeng Niu, Siheng Chen, 2017, AAAI.

Simulative analysis of dynamic scheduling heuristics for reconfigurable computing of parallel applications

Alan D. George, Melissa C. Smith, Ian A. Troxel, 2006, FPGA '06.

Optimization of Shared High-Performance Reconfigurable Computing Resources

Gregory D. Peterson, Melissa C. Smith, M. C. Smith, 2012, TECS.

A front-end electronics module for the PHENIX pad chamber

Melissa C. Smith, Anders Nils Erik Oskarsson, W. L. Bryan, 1998 .

Cellular State Transformations Using Deep Learning for Precision Medicine Applications

Melissa C. Smith, M. C. Smith, Benafsh Husain, 2020, Patterns.

Enhancing Hardware Design Flows with MyHDL

Melissa C. Smith, Keerthan Jaic, 2015, FPGA.

Acceleration of spiking neural networks in emerging multi-core and GPU architectures

Vivek K. Pallipuram, Melissa C. Smith, M. C. Smith, 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW).

Strategic Challenges forApplication Development Productivity inReconfigurable Computing

Melissa C. Smith, Saumil G. Merchant, Brian Holland, 2008 .

Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling

Kuang-Ching Wang, Zahra Ronaghi, Edward B. Duffy, 2016 .

Exploring Multi-level Parallelism for Large-Scale Spiking Neural Networks

Vivek K. Pallipuram, Melissa C. Smith, M. C. Smith, 2012 .

Cellular State Transformations using Generative Adversarial Networks pdf

Melissa C. Smith, M. C. Smith, F. Alex Feltus, 2019, ArXiv.

Performance, optimization, and fitness: Connecting applications to architectures

Vivek K. Pallipuram, Melissa C. Smith, M. C. Smith, 2011, Concurr. Comput. Pract. Exp..

Accelerating scientific applications with the SRC-6 reconfigurable computer: methodologies and analysis

Jeffrey S. Vetter, Melissa C. Smith, M. C. Smith, 2005, 19th IEEE International Parallel and Distributed Processing Symposium.

Energy efficient biomolecular simulations with FPGA-based reconfigurable computing

Sadaf R. Alam, Melissa C. Smith, Ananth Nallamuthu, 2010, CF '10.

Scientific Computing Beyond CPUs: FPGA implementations of common scientific kernels

Sadaf R. Alam, Melissa C. Smith, M. C. Smith, 2005 .

Artificial Intelligence and Deep Learning Applications for Automotive Manufacturing

Ken Kennedy, Edward B. Duffy, André Luckow, 2018, 2018 IEEE International Conference on Big Data (Big Data).

A generalized deep learning approach for local structure identification in molecular simulations

Melissa C. Smith, M. C. Smith, Sapna Sarupria, 2019, Chemical science.

Subjective versus objective: classifying analytical models for productive heterogeneous performance prediction

Vivek K. Pallipuram, Karan Sapra, Nilim Sarma, 2014, The Journal of Supercomputing.

An End-to-End Tool Flow for FPGA-Accelerated Scientific Computing

Alan D. George, Herman Lam, James Coole, 2011, IEEE Design & Test of Computers.

A Parallel Jacobi-Embedded Gauss-Seidel Method

Afshin Ahmadi, Melissa C. Smith, Felice Manganiello, 2021, IEEE Transactions on Parallel and Distributed Systems.

Speech Enhancement Using Multi-Stage Self-Attentive Temporal Convolutional Networks

Kuang-Ching Wang, Melissa C. Smith, Adriaan J. van Wijngaarden, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Sparse Matrix-Vector Multiplication Kernel on a Reconfigurable Computer

Sadaf R. Alam, Jeffrey S. Vetter, Richard F. Barrett, 2005 .

Massive-Scale Gene Co-Expression Network Construction and Robustness Testing Using Random Matrix Theory

Stephen P. Ficklin, Melissa C. Smith, M. C. Smith, 2013, PloS one.