[1]
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Shweta Purawat, Cathie Olschanowsky, Laura E Condon, Reed Maxwell, and Ilkay
Altintas.
Scalable workflow-driven hydrologic analysis in hydroframe.
In International Conference on Computational Science, pages
276--289. Springer, Cham, 2020.
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[2]
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Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine
Olschanowsky, and Kevin Barker.
A parallel sparse tensor benchmark suite on cpus and gpus.
In Proceedings of the 25th ACM SIGPLAN Symposium on Principles
and Practice of Parallel Programming, pages 403--404, 2020.
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[3]
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Shweta Purawat, Cathie Olschanowsky, Laura E Condon, Reed M Maxwell, and Ilkay
Altintas.
End-to-end workflow-driven hydrologic analysis for different user
groups in hydroframe.
AGUFM, 2019:A13H--3033, 2019.
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[4]
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Ravi Shankar, Nayani Ilangakoon, Aaron Orenstein, Floriana Ciaglia, Nancy
Glenn, and Catherine Olschanowsky.
Adaptlidartools: A full-waveform lidar processing suite.
In 2019 15th International Conference on eScience (eScience),
pages 369--377. IEEE, 2019.
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[5]
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C Olschanowsky, RM Maxwell, LE Condon, M Strout, I Altintas, S Purawat,
L Gallagher, H Tran, and J Zhang.
Hydroframe: A software framework to enable continental scale
hydrologic simulation.
AGUFM, 2019:A11A--01, 2019.
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[6]
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C Olschanowsky, M Burke, LE Condon, and RM Maxwell.
Improving the software architecture for a continental scale
integrated modeling framework for better software productivity: Boundary
conditions, programming abstractions, and developments in the parflow
modeling platform.
AGUFM, 2019:A13H--3035, 2019.
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[7]
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Mahdi Soltan Mohammadi, Tomofumi Yuki, Kazem Cheshmi, Eddie C Davis, Mary Hall,
Maryam Mehri Dehnavi, Payal Nandy, Catherine Olschanowsky, Anand Venkat, and
Michelle Mills Strout.
Sparse computation data dependence simplification for efficient
compiler-generated inspectors.
In Proceedings of the 40th ACM SIGPLAN Conference on Programming
Language Design and Implementation, pages 594--609, 2019.
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[8]
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Ian J Bertolacci, Michelle Mills Strout, Jordan Riley, Stephen MJ Guzik,
Eddie C Davis, and Catherine Olschanowsky.
Using the loop chain abstraction to schedule across loops in existing
code.
International Journal of High Performance Computing and
Networking, 13(1):86--104, 2019.
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[9]
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Mahesh Lakshminarasimhan and Catherine Olschanowsky.
Adaptmembench: Application-specific memorysubsystem benchmarking.
arXiv preprint arXiv:1812.07778, 2018.
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[10]
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Ian Bertolacci, Michelle Mills Strout, Bronis R de Supinski, Thomas RW
Scogland, Eddie C Davis, and Catherine Olschanowsky.
Extending openmp to facilitate loop optimization.
In International Workshop on OpenMP, pages 53--65. Springer,
Cham, 2018.
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[11]
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Michelle Mills Strout, Mary Hall, and Catherine Olschanowsky.
The sparse polyhedral framework: Composing compiler-generated
inspector-executor code.
Proceedings of the IEEE, 106(11):1921--1934, 2018.
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[12]
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Eddie C Davis, Michelle Mills Strout, and Catherine Olschanowsky.
Transforming loop chains via macro dataflow graphs.
In Proceedings of the 2018 International Symposium on Code
Generation and Optimization, pages 265--277, 2018.
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[13]
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Payal Nandy, Mary Hall, Eddie C Davis, Catherine Olschanowsky, Mahdi Soltan
Mohammadi, Wei He, and Michelle Strout.
Abstractions for specifying sparse matrix data transformations.
In Proceedings of the Eighth International Workshop on
Polyhedral Compilation Techniques, 2018.
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[14]
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Catherine Olschanowsky, Alejandro N Flores, Katelyn FitzGerald, Matthew T
Masarik, William J Rudisill, and Miguel Aguayo.
Developing a collection of composable data translation software units
to improve efficiency and reproducibility in ecohydrologic modeling
workflows.
AGUFM, 2017:IN32C--06, 2017.
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[15]
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Ian J Bertolacci, Michelle Mills Strout, Stephen Guzik, Jordan Riley, and
Catherine Olschanowsky.
Identifying and scheduling loop chains using directives.
In 2016 Third Workshop on Accelerator Programming Using
Directives (WACCPD), pages 57--67. IEEE, 2016.
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[16]
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Stephen M Guzik, Xinfeng Gao, and C Olschanowsky.
A high-performance finite-volume algorithm for solving partial
differential equations governing compressible viscous flows on structured
grids.
Computers & Mathematics with Applications, 72(9):2098--2118,
2016.
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[17]
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Jordan Riley, Xinfeng Gao, Catherine Olschanowsky, and Stephen M Guzik.
Enabling performance optimization of cfd applications with
source-to-source compiler technology.
In 54th AIAA Aerospace Sciences Meeting, page 1812, 2016.
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[18]
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Michelle Mills Strout, Alan LaMielle, Larry Carter, Jeanne Ferrante, Barbara
Kreaseck, and Catherine Olschanowsky.
An approach for code generation in the sparse polyhedral framework.
Parallel Computing, 53:32--57, 2016.
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[19]
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Michelle Mills Strout, Ian J Bertolacci, and Catherine Olschanowsky.
Practical diamond tiling for stencil computations using chapel
iterators.
In The Chapel Implementers and Users Workshop (CHIUW), 2015.
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[20]
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Chengyu Fan, Susmit Shannigrahi, Steve DiBenedetto, Catherine Olschanowsky,
Christos Papadopoulos, and Harvey Newman.
Managing scientific data with named data networking.
In Proceedings of the Fifth International Workshop on
Network-Aware Data Management, pages 1--7, 2015.
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[21]
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Ian J Bertolacci, Catherine Olschanowsky, Ben Harshbarger, Bradford L
Chamberlain, David G Wonnacott, and Michelle Mills Strout.
Parameterized diamond tiling for stencil computations with chapel
parallel iterators.
In Proceedings of the 29th ACM on International Conference on
Supercomputing, pages 197--206, 2015.
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[22]
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Catherine Olschanowsky, Susmit Shannigrahi, and Christos Papadopoulos.
Supporting climate research using named data networking.
In 2014 IEEE 20th International Workshop on Local &
Metropolitan Area Networks (LANMAN), pages 1--6. IEEE, 2014.
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[23]
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Michelle Mills Strout, Fabio Luporini, Christopher D Krieger, Carlo Bertolli,
Gheorghe-Teodor Bercea, Catherine Olschanowsky, J Ramanujam, and Paul HJ
Kelly.
Generalizing run-time tiling with the loop chain abstraction.
In 2014 IEEE 28th International Parallel and Distributed
Processing Symposium, pages 1136--1145. IEEE, 2014.
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[24]
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Catherine Olschanowsky, Stephen Guzik, John Loffeld, Jeffrey Hittinger, and
Michelle M. Strout.
A study on balancing parallelism, data locality, and recomputation in
existing pde solvers.
In Proceedings of the International Conference for High
Performance Computing, Networking, Storage and Analysis, pages 793--804.
IEEE Press, 2014.
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[25]
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Catherine Olschanowsky and Dan Massey.
Bgpmon v7: A scalable real-time bgp monitor.
In The Rocky Mountain Celebration of Women in Computing
(RMCWiC), 2014.
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[26]
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E Osterweil and C Olschanowsky.
Network working group j. gersch internet-draft secure64 sw corp
intended status: Informational d. massey expires: August 29, 2013 colorado
state university.
2013.
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[27]
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Catherine Olschanowsky, M Lawrence Weikum, Jason Smith, Christos Papadopoulos,
and Dan Massey.
Delivering diverse bgp data in real-time and through multi-format
archiving.
In 2013 IEEE International Conference on Technologies for
Homeland Security (HST), pages 698--703. IEEE, 2013.
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[28]
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Christopher D Krieger, Michelle Mills Strout, Catherine Olschanowsky, Andrew
Stone, Stephen Guzik, Xinfeng Gao, Carlo Bertolli, Paul HJ Kelly, Gihan
Mudalige, Brian Van Straalen, et al.
Loop chaining: A programming abstraction for balancing locality and
parallelism.
In 2013 IEEE International Symposium on Parallel & Distributed
Processing, Workshops and Phd Forum, pages 375--384. IEEE, 2013.
[ bib ]
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[29]
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C Olschanowsky and L Zhang.
Network working group j. gersch internet-draft secure64 sw corp
intended status: Standards track d. massey expires: March 2, 2013 maka’ala
networks.
2012.
[ bib ]
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[30]
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E Osterweil and C Olschanowsky.
Network working group j. gersch internet-draft secure64 sw corp
intended status: Informational d. massey expires: April 5, 2013 maka’ala
networks.
2012.
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[31]
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Michelle Mills Strout, Geri Georg, and Catherine Olschanowsky.
Set and relation manipulation for the sparse polyhedral framework.
In International Workshop on Languages and Compilers for
Parallel Computing, pages 61--75. Springer, Berlin, Heidelberg, 2012.
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[32]
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Catherine Rose Mills Olschanowsky.
HPC Application Address Stream Compression, Replay and Scaling.
PhD thesis, University of California, San Diego, 2011.
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[33]
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Catherine Mills, Allan Snavely, and Laura Carrington.
A tool for characterizing and succinctly representing the data access
patterns of applications.
In 2011 IEEE International Symposium on Workload
Characterization (IISWC), pages 126--135. IEEE, 2011.
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[34]
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Laura Carrington, Mustafa M Tikir, Catherine Olschanowsky, Michael Laurenzano,
Joshua Peraza, Allan Snavely, and Stephen Poole.
An idiom-finding tool for increasing productivity of accelerators.
In Proceedings of the international conference on
Supercomputing, pages 202--212, 2011.
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[35]
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Allan Snavely, Michael Laurenzano, Laura Carrington, Catherine Mills
Olschanowsky, Tajana Rosing, and Mustafa M Tikir.
Fine-grained energy consumption characterization and modeling.
2010.
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[36]
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Catherine Mills Olschanowsky, Tajana Rosing, Allan Snavely, Laura Carrington,
Mustafa M Tikir, and Michael Laurenzano.
Fine-grained energy consumption characterization and modeling.
In 2010 DoD High Performance Computing Modernization Program
Users Group Conference, pages 487--497. IEEE, 2010.
[ bib ]
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[37]
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Catherine Olschanowsky, Allan Snavely, Mitesh R Meswani, and Laura Carrington.
Pir: Pmac's idiom recognizer.
In 2010 39th International Conference on Parallel Processing
Workshops, pages 189--196. IEEE, 2010.
[ bib ]
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[38]
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Bronis R De Supinski, Sadaf Alam, David H Bailey, Laura Carrington, Chris
Daley, Anshu Dubey, Todd Gamblin, Dan Gunter, Paul D Hovland, Heike Jagode,
et al.
Modeling the office of science ten year facilities plan: the peri
architecture tiger team.
In Journal of Physics: conference series, volume 180, page
012039. IOP Publishing, 2009.
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[39]
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Nicholas J Wright, Shava Smallen, Catherine Mills Olschanowsky, Jim Hayes, and
Allan Snavely.
Measuring and understanding variation in benchmark performance.
In 2009 DoD High Performance Computing Modernization Program
Users Group Conference, pages 438--443. IEEE, 2009.
[ bib ]
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[40]
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Catherine Mills Olschanowsky, Mustafa M Tikir, Laura Carrington, and Allan
Snavely.
Psnap: accurate synthetic address streams through memory profiles.
In International Workshop on Languages and Compilers for
Parallel Computing, pages 353--367. Springer, Berlin, Heidelberg, 2009.
[ bib ]
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[41]
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Shava Smallen, Kate Ericson, Jim Hayes, and Catherine Olschanowsky.
User-level grid monitoring with inca 2.
In Proceedings of the 2007 workshop on Grid monitoring, pages
29--38, 2007.
[ bib ]
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[42]
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Omid Khalili, Jiahua He, Catherine Olschanowsky, Allan Snavely, and Henri
Casanova.
Measuring the performance and reliability of production computational
grids.
In 2006 7th IEEE/ACM International Conference on Grid
Computing, pages 293--300. IEEE, 2006.
[ bib ]
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[43]
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Shava Smallen, Catherine Olschanowsky, Kate Ericson, Pete Beckman, and
Jennifer M Schopf.
The inca test harness and reporting framework.
In SC'04: Proceedings of the 2004 ACM/IEEE Conference on
Supercomputing, pages 55--55. IEEE, 2004.
[ bib ]
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[44]
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Mary Thomas, Jay Boisseau, Maytal Dahan, Catherine Mills, S Mock, and Kurt
Mueller.
Development of npaci grid application portals and portal web
services.
Cluster Computing, 6(3):177--188, 2003.
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[45]
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Mary Thomas, Maytal Dahan, Kurt Mueller, Steve Mock, Cathie Mills, and Ray
Regno.
Application portals: practice and experience.
Concurrency and Computation: Practice and Experience,
14(13-15):1427--1443, 2002.
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