## Talks #### Invited 1. [Intel HPC Developer Conference](http://www.intel.com/content/www/us/en/events/hpcdevcon/technical-sessions.html), November 12-13, 2016, Salt Lake City, Utah, USA 1. University of Waterloo, Department of Statistics and Actuarial Science Seminar, June 2, 2016, Waterloo, Ontario, Canada 1. [44th Annual Meeting of the Statistical Society of Canada](http://ssc.ca/en/meetings/2016-annual-meeting), May 29 - June 1, 2016, St. Catharines, Ontario, Canada 1. University of Memphis, Department of Mathematical Sciences Colloquium, December 4, 2016, Memphis, Tennessee, USA 1. [ISM HPCCON 2015 / ISM HPC on R Workshop](http://ura3.c.ism.ac.jp/hpccon/), Oct. 9-12, 2015, Tokyo, Japan [pdfbutton](tutorials/ism2015/pbdr_ISM_HPCCON.pdf) 1. [Spring Research Conference](http://www.cvent.com/events/2015-spring-research-conference/agenda-b7b5867fe2f6400bba4542da092df210.aspx), May 20-22, 2015, Cincinnati, Ohio, USA 1. [Workshop on Distributed Computing in R](http://www.hpl.hp.com/research/systems-research/R-workshop), January 26-27, 2015, Palo Alto, California, USA 1. Faculty of Mathematics and Physics, Charles University, January 16, 2015, Praha, Czechia 1. [HPTCDL - First Workshop for High Performance Technical Computing in Dynamic Languages](http://hptcdl.github.io/2014.html), Keynote, Nov. 17, 2014, New Orleans, Louisiana, USA 1. [BioC 2014](http://www.bioconductor.org/help/course-materials/2014/BioC2014/developer-day/), Developer Day Keynote, Jul. 30, 2014, Boston, Massachusetts, USA 1. Institute of Statistical Mathematics, Feb. 17, 2014, Tokyo, Japan 1. University of Tennessee booth at SC13, Nov. 19 2013, Denver, Colorado, USA 1. 59th World Statistics Congress, Aug. 25-30 2013, Hong Kong, China 1. WSC Satellite meeting of the IASC, Aug. 22-23 2013, Seoul, Korea 1. Joint Statistical Meetings 2013, Aug. 3-8 2013, Montreal, Quebec, Canada 1. SIAM Conference on Computational Science and Engineering, Feb. 25-Mar. 1, 2013, Boston, Massachusetts, USA #### Contributed 1. "Introducing a New Client/Server Framework for Big Data Analytics with the R Language", *XSEDE16*, July 17-21 2016, Miami, Florida, USA 1. "Interactive Terabytes with pbdR", *R User Conference*, June 27-30 2016, Stanford University, Stanford, California, USA [ghbutton](https://github.com/snoweye/user2016.demo) 1. "Elevating R to Supercomputers", *Knoxville R Users Group*, November 1 2013, Knoxville, Tennessee, USA 1. "Elevating R to Supercomputers", *R User Conference*, July 10-12 2013, Albacete, Spain 1. "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. <font color="red">Upcoming:</font> [Essentials of High Performance and Parallel Statistical Computing with R](https://ww2.amstat.org/meetings/jsm/2017/onlineprogram/ActivityDetails.cfm?SessionID=214089): [Joint Statistical Meetings](http://ww2.amstat.org/meetings/jsm/2017), August 1, 2017, Baltimore, MD, USA 1. [Intel HPC Developer Conference](http://www.intel.com/content/www/us/en/events/hpcdevcon/technical-sessions.html), November 12-13, 2016, Salt Lake City, Utah, USA 1. [IT4Innovations National Supercomputing Center](http://prace.it4i.cz/en/RforHPC-10-2016), October 6-7, 2016, Technical University Ostrava, Czechia 1. King Mongkut's University of Technology Thonburi (KMUTT), August 8-11, 2016, Bangkok, Thailand 1. [ISI2015 60th World Statistics Congress](http://www.isi2015.org/), July 26-31 (Short Courses July 23-25), 2015, Rio de Janeiro, Brazil [pdfbutton](tutorials/wsc2015/pbdr.pdf) 1. [XSEDE @ Vanderbilt University](https://www.xsede.org/web/xup/course-calendar/-/training-user/class/423/session/746), June 11, 2015, Nashville, Tennessee, USA 1. [NIMBioS/NICS/XSEDE](http://www.nimbios.org/tutorials/TT_RforHPC), February 27, 2015, Knoxville, Tennessee, USA 1. [PRACE Winter School 2015](https://events.prace-ri.eu/event/330/session/5/), January 12-15, Technical University Ostrava, Czechia 1. SC14, November 17, 2014, New Orleans, Louisiana, USA 1. UseR! 2014, June 30, 2014, Los Angeles, California, USA 1. National Institute for Mathematical and Biological Synthesis, April 6-8 2014, Knoxville, Tennessee, USA 1. Institute of Statistical Mathematics, Feb. 17-18, 2014, Tokyo, Japan 1. SC13, November 18, 2013, Denver, Colorado, USA 1. XSEDE13, Jul. 22, 2013, San Diego, California, USA 1. UseR! 2013, Jul. 9, 2013, Albacete, Spain 1. OLCF Workshop, June 17, 2013, Oak Ridge National Lab, USA 1. 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](http://dx.doi.org/10.1016/j.bdr.2016.10.002). 1. 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. 1. 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. 1. 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. 1. 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. <!-- links below are broken: --> <!-- ## HPSC pbdR Tutorials --> <!-- Our sister site, [High Performance Statistical Computing --> <!-- (HPSC)](http://thirteen-01.stat.iastate.edu/snoweye/hpsc/), has some --> <!-- excellent, real world tutorials using the well-known Iris data set. This --> <!-- is a small data set, and is not meant to be a demonstration of pbdR's --> <!-- scaling prowess. Instead, this is a way to see how you might take a --> <!-- serial code and move it over to using our pbdR tools. --> <!-- The current tutorials available are: --> <!-- - [Clustering](http://thirteen-01.stat.iastate.edu/snoweye/pbdr/?item=tutorial) --> <!-- - [Bootstrapping](http://thirteen-01.stat.iastate.edu/snoweye/pbdr/?item=tutorial2) --> <!-- Currently the Iris tutorial above is used in the "Introducing R" --> <!-- tutorial slides. --> ## Google Summer of Code Projects * [2014 - Profiling Tools for Parallel Computing with R](http://rwiki.sciviews.org/doku.php?id=developers:projects:gsoc2014:pbdprof) * [2013 - Profiling Tools for Parallel Computing with R](http://rwiki.sciviews.org/doku.php?id=developers:projects:gsoc2013:mpiprofiler)