Scott Baden

Affiliations: 
Computer Science and Engineering University of California, San Diego, La Jolla, CA 
Area:
Computer Science
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"Scott Baden"

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Pietro Cicotti grad student 2011 UCSD
Alden King grad student 2012 UCSD
Didem Unat grad student 2012 UCSD
Nhat T. Nguyen Thanh grad student 2014 UCSD
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Publications

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Meswani MR, Carrington L, Unat D, et al. (2013) Modeling and predicting performance of high performance computing applications on hardware accelerators International Journal of High Performance Computing Applications. 27: 89-108
Nguyen T, Cicotti P, Bylaska E, et al. (2012) Bamboo - Translating MPI applications to a latency-tolerant, data-driven form International Conference For High Performance Computing, Networking, Storage and Analysis, Sc
Unat D, Zhou J, Cui Y, et al. (2012) Accelerating a 3D finite-difference earthquake simulation with a C-to-CUDA translator Computing in Science and Engineering. 14: 48-59
Cicotti P, Baden SB. (2012) Latency hiding and performance tuning with graph-based execution Proceedings - 2011 1st Workshop On Data-Flow Execution Models For Extreme Scale Computing, Dfm 2011. 28-37
King A, Baden S. (2012) Reducing library overheads through source-to-source translation Procedia Computer Science. 9: 1930-1939
Unat D, Cai X, Baden SB. (2011) Mint: Realizing CUDA performance in 3D stencil methods with annotated C Proceedings of the International Conference On Supercomputing. 214-224
Meswani MR, Carrington L, Unat D, et al. (2011) Modeling and predicting application performance on hardware accelerators Proceedings - 2011 Ieee International Symposium On Workload Characterization, Iiswc - 2011. 73
King A, Arobone E, Baden SB, et al. (2011) The Saaz framework for turbulent flow queries Proceedings - 2011 7th Ieee International Conference On Escience, Escience 2011. 325-331
Cicotti P, Li XS, Baden SB. (2010) Performance modeling tools for parallel sparse linear algebra computations Advances in Parallel Computing. 19: 83-90
Unat D, Hromadka T, Baden SB. (2009) An adaptive sub-sampling method for in-memory compression of scientific data Data Compression Conference Proceedings. 262-271
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