Michela Taufer

Michela Taufer (born 23 April 1971)[8] is an Italian-American computer scientist and holds the Jack Dongarra Professorship in High Performance Computing within the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. [9] She is an ACM Distinguished Scientist [6] and an IEEE Senior Member. [1]

Michela Taufer
Born (1971-04-23) 23 April 1971
NationalityAmerican
Alma mater ETH Zurich (Swiss Federal Institute of Technology in Zürich)
Known for
Awards
Scientific career
Fields
Institutions
  • The University of Tennessee, Knoxville
Academic advisors
Website

Education

Taufer attended the University of Padua where she obtained a Laurea in Computer Engineering in 1996. She later went on to earn her Ph.D. in computer science at ETH Zurich (Swiss Federal Institute of Technology in Zürich) in 2002. [8] The dissertation for her Ph.D. in computer science from ETH Zurich (Swiss Federal Institute of Technology in Zürich) was titled, Inverting Middleware: Performance Analysis of Layered Application Codes in High Performance Distributed Computing, and was supervised by Thomas M. Stricker and Daniel A. Reed. [8]

Research

Her current research interests [10] include high performance computing, [11] scientific applications, and their programmability on multi-core and many-core platforms. [12] She applies advances in computational and algorithmic solutions for high-performance computing technologies (i.e., volunteer computing, accelerators and GPUs, and in situ analytics workflows) [13] to multi-disciplinary fields including molecular dynamics,[14] ecoinformatics, seismology, and biology.

References
  1. Interview with 2019 Person to Watch Michela Taufer, by HPCwire Editorial Team, in HPCwire; published 18 April 2019; retrieved 26 April 2020
  2. T. Estrada, M.Taufer, and K. Reed, "Modeling Job Lifespan Delays in Volunteer Computing Projects", " CCGRID '09: Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid"; pp. 331-338 (2009)
  3. Julie Stewart, "Computer Scientist Wins NSF Grant", in UDaily; published 11 December 2017; retrieved 26 April 2020
  4. V. Stodden, M. McNutt, D.H. Bailey, E. Deelman, Y. Gil, B. Hanson, M.A. Heroux, J.P.A. Ioannidis, and M. Taufer, "Enhancing reproducibility for computational methods", Science; 354(6317), pp. 1240-1241 (2016)
  5. IBM Faculty awards Recipients, by IBM; published 6 February 2019; retrieved 26 April 2020
  6. ACM's Distinguished Members Cited for Advances in Computing that Will Yield Real World Impact, by Jim Ormond; published 19 November 2015; retrieved 26 April 2020
  7. ACM-W – Supporting, Celebrating, and Advocating for Women in Computing; published 24 August 2014; retrieved 26 April 2020
  8. Michela Taufer. (2002) Inverting Middleware: Performance Analysis of Layered Application Codes in High Performance Distributed Computing(PhD). ETH Zurich (Swiss Federal Institute of Technology in Zürich); retrieved 26 April 2020
  9. "Min H. Kao Department of Electrical Engineering & Computer Science - The University of Tennessee, Knoxville". Eecs.utk.edu. Retrieved 26 April 2020.
  10. "Dr. Michela Taufer, research profile – personal details (GCLab)". Retrieved 27 April 2020.
  11. M. Taufer, C. An, A. Kerstens, and C.L. Brooks III, "Predictor@Home: A Protein Structure Prediction Supercomputer' Based on Global Computing", IEEE Transactions on Parallel and Distributed Systems,; 17(8), pp. 786-796 (2006)
  12. M. Taufer, B. Mohr, and J. M. Kunkel (2016). "High Performance Computing: ISC High Performance 2016 International Workshops, ExaComm, E-MuCoCoS, HPC-IODC, IXPUG, IWOPH, P^3MA, VHPC, WOPSSS, June 19–23, 2016, Revised Selected Papers", Springer, Frankfurt, Germany; ISBN 9783319460796.
  13. M. Taufer, O. Padron, P Saponaro, and S. Patel, "Improving numerical reproducibility and stability in large-scale numerical simulations on GPUs", 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS), Atlanta, GA; pp. 1-9 (2010)
  14. M. Taufer, D.P. Anderson, P. Cicotti, and C.L. Brooks, "Homogeneous Redundancy: a Technique to Ensure Integrity of Molecular Simulation Results Using Public Computing", 19th IEEE International Parallel and Distributed Processing Symposium; 9, pp. - (2005)
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.