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Melissa C. Smith (Senior Member, IEEE) received the BS and MS degrees in electrical engineering from Florida State University, Tallahassee, Florida, in 1993 and 1994, respectively, and the PhD degree in electrical engineering from the University of Tennessee, Knoxville, Tennessee, in 2003. She is currently an associate professor of electrical and computer engineering at Clemson University, Clemson, South Carolina. She has more than 25 years of experience developing and implementing scientific workloads and machine learning applications across multiple domains, including 12 years as a research associate at Oak Ridge National Laboratory. Her current research focuses on the performance analysis and optimization of emerging heterogeneous computing architectures (GPGPU- and FPGA-based systems) for various application domains including machine learning, high-performance or real-time embedded applications, and image processing. Her group collaborates with researchers in other fields to develop new approaches to the application/architecture interface providing interdisciplinary solutions that enable new scientific advancements and/or capabilities.
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Computational and Systems Oncologyno. 3 (2023): n/a-n/a
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2022 IEEE/ACM Third International Symposium on Checkpointing for Supercomputing (SuperCheck)pp.1-9, (2022)
Joshua J R Burns,Benjamin T Shealy, Mitchell S Greer,John A Hadish,Matthew T McGowan, Tyler Biggs,Melissa C Smith,F Alex Feltus,Stephen P Ficklin
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