C
Carl Kesselman
Researcher at University of Southern California
Publications - 263
Citations - 56074
Carl Kesselman is an academic researcher from University of Southern California. The author has contributed to research in topics: Grid & Grid computing. The author has an hindex of 82, co-authored 257 publications receiving 55377 citations. Previous affiliations of Carl Kesselman include Southern California Earthquake Center & University of California, San Diego.
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Book
CC++: A Declarative Concurrent Object Oriented Programming Notation
K. Mani Chandy,Carl Kesselman +1 more
TL;DR: A brief description of the motivation for CC++, the extensions to C++, a few examples of CC++ programs with reasoning about their correctness, and an evaluation ofCC++ in the context of other research on concurrent computation are provided.
Proceedings ArticleDOI
Performance and scalability of a replica location service
TL;DR: The implementation and performance of a replica location service that is part of the Globus Toolkit Version 3.0 is described and evaluated, demonstrating that RLS performance scales well for individual servers with millions of entries and up to 100 requesting threads and when using Bloom filter compression for wide area updates.
Proceedings ArticleDOI
Montage: a grid-enabled engine for delivering custom science-grade mosaics on demand
G. Bruce Berriman,Ewa Deelman,John C. Good,Joseph C. Jacob,Daniel S. Katz,Carl Kesselman,Anastasia C. Laity,Thomas A. Prince,Gurmeet Singh,Mei-Hu Su +9 more
TL;DR: Montage as discussed by the authors is a grid-enabled version of Montage, an astronomical image mosaic service, suitable for large scale processing of the sky, where re-projection jobs can be added to a pool of tasks and performed by as many processors as are available.
Journal ArticleDOI
Montage: a grid portal and software toolkit for science-grade astronomical image mosaicking
Joseph C. Jacob,Daniel S. Katz,G. Bruce Berriman,John C. Good,Anastasia C. Laity,Ewa Deelman,Carl Kesselman,Gurmeet Singh,Mei-Hui Su,Thomas A. Prince,Roy Williams +10 more
TL;DR: Montage as discussed by the authors is a portable software toolkit to construct custom, science-grade mosaics that preserve the astrometry and photometry of astronomical sources, which can be run on both single and multi-processor computers, including clusters and grids.
Journal ArticleDOI
A physical sciences network characterization of non-tumorigenic and metastatic cells
David B. Agus,Jenolyn F. Alexander,Wadih Arap,S.P. Ashili,Joseph E. Aslan,Robert H. Austin,Vadim Backman,Kelly Bethel,Richard Bonneau,Wei Chiang Chen,Chira Chen-Tanyolac,Nathan C. Choi,Steven A. Curley,Matthew R. Dallas,Dhwanil Damania,Paul Davies,Paolo Decuzzi,Laura E. Dickinson,Luis Estévez-Salmerón,Veronica Estrella,Mauro Ferrari,Claudia Fischbach,Jasmine Foo,Stephanie I. Fraley,Christian Frantz,Alexander Fuhrmann,Philippe Gascard,Robert A. Gatenby,Yue Geng,Sharon Gerecht,Robert J. Gillies,Biana Godin,William M. Grady,William M. Grady,Alex Greenfield,Courtney Hemphill,Barbara L. Hempstead,Abigail Hielscher,W. Daniel Hillis,Eric C. Holland,Arig Ibrahim-Hashim,Tyler Jacks,Roger H. Johnson,Ahyoung Joo,Jonathan E. Katz,Laimonas Kelbauskas,Carl Kesselman,Michael R. King,Konstantinos Konstantopoulos,Casey M. Kraning-Rush,Peter Kuhn,Kevin S. Kung,Brian J. Kwee,Johnathon N. Lakins,Guillaume Lambert,David Liao,Jonathan D. Licht,Jan Liphardt,Jan Liphardt,Liyu Liu,Mark C. Lloyd,Anna Lyubimova,Parag Mallick,Parag Mallick,John F. Marko,Owen J. T. McCarty,Deirdre R. Meldrum,Franziska Michor,Shannon M. Mumenthaler,Vivek Nandakumar,Thomas V. O'Halloran,Steve Oh,Renata Pasqualini,Matthew J. Paszek,Kevin G. Philips,Christopher S. Poultney,Kuldeepsinh Rana,Cynthia A. Reinhart-King,Robert Ros,Gregg L. Semenza,Patti Senechal,Michael L. Shuler,Srimeenakshi Srinivasan,Jack R. Staunton,Yolanda Stypula,Hariharan Subramanian,Thea D. Tlsty,Garth W. Tormoen,Yiider Tseng,Yiider Tseng,Alexander van Oudenaarden,Scott S. Verbridge,Scott S. Verbridge,Jenny C. Wan,Valerie M. Weaver,Jonathan Widom,Christine Will,Denis Wirtz,Jonathan W. Wojtkowiak,Pei Hsun Wu +99 more
TL;DR: Comparisons of the non-tumorigenic MCF-10A and metastatic MDA-MB-231 breast epithelial cell lines, commonly used as models of cancer metastasis, reveal dramatic differences in their mechanics, migration, adhesion, oxygen response, and proteomic profiles.