Talks

Invited

  1. High Performance Statistical Computing with R, ROBUST 2022 International Statistical Conference, June 12, 2022, Volyne, Czechia.
  2. Harnessing the Power of Supercomputers for R Workflows, SIAM Conference on Computational Science and Engineering, March 1-5, 2021, Virtual pdf
  3. Advanced Statistics Meets Machine Learning III Workshop, Argonne National Laboratory, November 13-15, 2019, Chicago, IL pdf
  4. ISI2019 62nd World Statistics Congress, August 18-23, 2019, Kuala Lumpur, Malaysia pdf
  5. Joint Statistical Meetings, July 28 - August 2, 2018, Vancouver, British Columbia, Canada pdf
  6. Intel HPC Developer Conference, November 11-12, 2017, Denver, Colorado, USA pdf People's Choice Award in High Productivity Languages Track
  7. Intel HPC Developer Conference, November 12-13, 2016, Salt Lake City, Utah, USA
  8. University of Waterloo, Department of Statistics and Actuarial Science Seminar, June 2, 2016, Waterloo, Ontario, Canada
  9. 44th Annual Meeting of the Statistical Society of Canada, May 29 - June 1, 2016, St. Catharines, Ontario, Canada
  10. University of Memphis, Department of Mathematical Sciences Colloquium, December 4, 2016, Memphis, Tennessee, USA
  11. ISM HPCCON 2015 / ISM HPC on R Workshop, Oct. 9-12, 2015, Tokyo, Japan pdf
  12. Spring Research Conference, May 20-22, 2015, Cincinnati, Ohio, USA
  13. Workshop on Distributed Computing in R, January 26-27, 2015, Palo Alto, California, USA
  14. Faculty of Mathematics and Physics, Charles University, January 16, 2015, Praha, Czechia
  15. HPTCDL - First Workshop for High Performance Technical Computing in Dynamic Languages, Keynote, Nov. 17, 2014, New Orleans, Louisiana, USA
  16. BioC 2014, Developer Day Keynote, Jul. 30, 2014, Boston, Massachusetts, USA
  17. Institute of Statistical Mathematics, Feb. 17, 2014, Tokyo, Japan
  18. University of Tennessee booth at SC13, Nov. 19 2013, Denver, Colorado, USA
  19. 59th World Statistics Congress, Aug. 25-30 2013, Hong Kong, China
  20. WSC Satellite meeting of the IASC, Aug. 22-23 2013, Seoul, Korea
  21. Joint Statistical Meetings 2013, Aug. 3-8 2013, Montreal, Quebec, Canada
  22. SIAM Conference on Computational Science and Engineering, Feb. 25-Mar. 1, 2013, Boston, Massachusetts, USA

Contributed

  1. "Parallel Statistical Computing with R: An Illustration on Two Architectures", ISI2017 61st World Statistics Congress, July 16-21, 2017, Marrakech, Morocco pdf
  2. "Introducing a New Client/Server Framework for Big Data Analytics with the R Language", XSEDE16, July 17-21 2016, Miami, Florida, USA
  3. "Interactive Terabytes with pbdR", R User Conference, June 27-30 2016, Stanford University, Stanford, California, USA GitHub
  4. "Elevating R to Supercomputers", Knoxville R Users Group, November 1 2013, Knoxville, Tennessee, USA
  5. "Elevating R to Supercomputers", R User Conference, July 10-12 2013, Albacete, Spain
  6. "Tight Coupling of R and Distributed Linear Algebra for High-Level Programming with Big Data", Petascale Data Analytics: Challenges and Opportunities Workshop, SC12, November 12 2012, Salt Lake City, Utah, USA

Tutorials

  1. OLCF/CADES/ALCF/NERSC Workshop, August 17 & 19, 2022, Oak Ridge National Lab, USA
  2. Joint Statistical Meetings, August 1, 2017, Baltimore, MD, USA html
  3. Intel HPC Developer Conference, November 12-13, 2016, Salt Lake City, Utah, USA
  4. IT4Innovations National Supercomputing Center, October 6-7, 2016, Technical University Ostrava, Czechia
  5. King Mongkut's University of Technology Thonburi (KMUTT), August 8-11, 2016, Bangkok, Thailand
  6. ISI2015 60th World Statistics Congress, July 26-31 (Short Courses July 23-25), 2015, Rio de Janeiro, Brazil
  7. XSEDE @ Vanderbilt University, June 11, 2015, Nashville, Tennessee, USA
  8. NIMBioS/NICS/XSEDE, February 27, 2015, Knoxville, Tennessee, USA
  9. PRACE Winter School 2015, January 12-15, Technical University Ostrava, Czechia
  10. SC14, November 17, 2014, New Orleans, Louisiana, USA
  11. UseR! 2014, June 30, 2014, Los Angeles, California, USA
  12. National Institute for Mathematical and Biological Synthesis, April 6-8 2014, Knoxville, Tennessee, USA
  13. Institute of Statistical Mathematics, Feb. 17-18, 2014, Tokyo, Japan
  14. SC13, November 18, 2013, Denver, Colorado, USA
  15. XSEDE13, Jul. 22, 2013, San Diego, California, USA
  16. UseR! 2013, Jul. 9, 2013, Albacete, Spain
  17. OLCF Workshop, June 17, 2013, Oak Ridge National Lab, USA
  18. NICS Spring Training Tutorial, Mar. 26, 2013, University Tennessee, Knoxville, USA

Publications

  1. D. Schmidt, W.-C. Chen, M. A. Matheson, and G. Ostrouchov. Programming with BIG Data in R: Scaling Analytics from One to Thousands of Nodes. Big Data Research 2016. doi: 2016.10.002.
  2. D. Schmidt, W.-C. Chen, and G. Ostrouchov. Introducing a New Client/Server Framework for Big Data Analytics with the R Language. Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale, 2016, 38:1-38:9.
  3. G. Ostrouchov, D. Schmidt, W.-C. Chen, and P. Patel. Combining R with scalable libraries to get the best of both for big data. International Association for Statistical Computing Satellite Conference for the 59th ISI World Statistics Congress, August 2013.
  4. D. Schmidt, G. Ostrouchov, W.-C. Chen, and P. Patel. Tight Coupling of R and Distributed Linear Algebra for High-Level Programming with Big Data, High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:, 811-815.
  5. G. Ostrouchov, W.-C. Chen, D. Schmidt, and P. Patel. Programming with Big Data in R. 6th Extremely Large Databases Conference (XLDB), Stanford, CA, USA, September 2012.

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