American Statistical Association
New York City
Metropolitan Area Chapter
May 15, 2009
The New York Metro Area Chapter of the American Statistical Association
In Collaboration With
The Educational Psychology Ph.D. Program of the City University of New York
Are Pleased to Invite You to a Lecture
THE BIGMEMORY PACKAGE:
MASSIVE DATA, SHARED MEMORY, AND CONCURRENT PROGRAMMING
Department of Statistics
Multi-gigabyte data sets challenge and frustrate R users even on well-equipped hardware. C/C ++ and Fortran programming can be helpful, but are cumbersome for interactive data analysis and lack the flexibility and power of proglangR's rich statistical programming environment. The package bigmemory bridges this gap, implementing massive matrices and supporting their basic manipulation and exploration. It is ideal for problems involving the analysis in R of manageable subsets of the data, or when an analysis is conducted mostly in C ++. The data structures may be allocated to shared memory with transparent read and write locking, allowing separate processes on the same computer to share access to a single copy of the data set. The data structures may also be file-backed, allowing users to more easily manage and analyze data sets larger than available RAM. These features of bigmemory open the door for powerful and memory-efficient parallel analyses and data mining of massive data sets. This talk will include applications in biomedical imaging and exploration of 2009 JSM Data Expo airline data.
Friday, May 15, 2009
(Please note change in time.)
Arrival and Networking: 2:30 - 3:00 P.M.
Presentation: 3:00 - 4:00 P.M.
Discussion and Q&A Session: 4:00 - 4:30 P.M.
(Please note change in location.)
Southeast Corner of Lexington Avenue and 68th Street
(or SE subway entrance)
East Building - Room 920
New York, New York
Registration and Fees
Advanced registration is required and there is no fee.
Light refreshments will be served.
Registration closed Friday, May 8, 2009.
For questions, send an e-mail to email@example.com.
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