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Cosmin Oancea
Cosmin Oancea
Department of Computer Science (DIKU), University of Copenhagen
Verified email at diku.edu - Homepage
Title
Cited by
Cited by
Year
Futhark: purely functional GPU-programming with nested parallelism and in-place array updates
T Henriksen, NGW Serup, M Elsman, F Henglein, CE Oancea
Proceedings of the 38th ACM SIGPLAN Conference on Programming Language …, 2017
2312017
Buffer kd trees: processing massive nearest neighbor queries on GPUs
F Gieseke, J Heinermann, C Oancea, C Igel
International Conference on Machine Learning, 172-180, 2014
1172014
A lightweight in-place implementation for software thread-level speculation
CE Oancea, A Mycroft, T Harris
Proceedings of the twenty-first annual symposium on Parallelism in …, 2009
942009
Logical inference techniques for loop parallelization
CE Oancea, L Rauchwerger
Proceedings of the 33rd ACM SIGPLAN conference on Programming Language …, 2012
542012
Incremental flattening for nested data parallelism
T Henriksen, F Thorøe, M Elsman, C Oancea
Proceedings of the 24th Symposium on Principles and Practice of Parallel …, 2019
512019
Software thread-level speculation: an optimistic library implementation
CE Oancea, A Mycroft
Proceedings of the 1st international workshop on Multicore software …, 2008
482008
A T2 graph-reduction approach to fusion
T Henriksen, CE Oancea
Proceedings of the 2nd ACM SIGPLAN workshop on Functional high-performance …, 2013
372013
Finpar: A parallel financial benchmark
C Andreetta, V Bégot, J Berthold, M Elsman, F Henglein, T Henriksen, ...
ACM Transactions on Architecture and Code Optimization (TACO) 13 (2), 1-27, 2016
352016
Size slicing: a hybrid approach to size inference in Futhark
T Henriksen, M Elsman, CE Oancea
Proceedings of the 3rd ACM SIGPLAN workshop on Functional high-performance …, 2014
352014
Static interpretation of higher-order modules in Futhark: Functional GPU programming in the large
M Elsman, T Henriksen, D Annenkov, CE Oancea
Proceedings of the ACM on Programming Languages 2 (ICFP), 1-30, 2018
302018
Compiling generalized histograms for gpu
T Henriksen, S Hellfritzsch, P Sadayappan, C Oancea
SC20: International Conference for High Performance Computing, Networking …, 2020
292020
A hybrid approach to proving memory reference monotonicity
CE Oancea, L Rauchwerger
Languages and Compilers for Parallel Computing: 24th International Workshop …, 2013
292013
Financial software on GPUs: between Haskell and Fortran
CE Oancea, C Andreetta, J Berthold, A Frisch, F Henglein
Proceedings of the 1st ACM SIGPLAN workshop on Functional high-performance …, 2012
282012
Set-congruence dynamic analysis for thread-level speculation (TLS)
CE Oancea, A Mycroft
International Workshop on Languages and Compilers for Parallel Computing …, 2008
272008
Design and GPGPU performance of Futhark's redomap construct
T Henriksen, KF Larsen, CE Oancea
Proceedings of the 3rd ACM SIGPLAN International Workshop on Libraries …, 2016
262016
A new approach to parallelising tracing algorithms
CE Oancea, A Mycroft, SM Watt
Proceedings of the 2009 international symposium on Memory management, 10-19, 2009
262009
Parametric polymorphism for software component architectures
CE Oancea, SM Watt
ACM SIGPLAN Notices 40 (10), 147-166, 2005
262005
APL on GPUs: A TAIL from the Past, Scribbled in Futhark
T Henriksen, M Dybdal, H Urms, AS Kiehn, D Gavin, H Abelskov, ...
Proceedings of the 5th International Workshop on Functional High-Performance …, 2016
252016
Bounds checking: An instance of hybrid analysis
T Henriksen, CE Oancea
Proceedings of ACM SIGPLAN International Workshop on Libraries, Languages …, 2014
252014
Distributed Models of Thread Level Speculation.
CE Oancea, JWA Selby, M Giesbrecht, SM Watt
PDPTA 5, 920-927, 2005
252005
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