Kenneth Sejdenfaden Bøgh
Kenneth Sejdenfaden Bøgh
Senior Software Engineer, Uber
Bestätigte E-Mail-Adresse bei uber.com
Titel
Zitiert von
Zitiert von
Jahr
Scalable parallelization of skyline computation for multi-core processors
S Chester, D Šidlauskas, I Assent, KS Bøgh
2015 IEEE 31st International Conference on Data Engineering, 1083-1094, 2015
432015
Efficient GPU-based skyline computation
KS Bøgh, I Assent, M Magnani
Proceedings of the Ninth International Workshop on Data Management on New …, 2013
302013
Work-efficient parallel skyline computation for the GPU
KS Bøgh, S Chester, I Assent
Proceedings of the VLDB Endowment 8 (9), 962-973, 2015
282015
Tune your brown clustering, please
L Derczynski, S Chester, KS Bøgh
International Conference Recent Advances in Natural Language Processing …, 2015
252015
DKIE: Open source information extraction for Danish
L Derczynski, CV Field, KS Bøgh
Proceedings of the Demonstrations at the 14th Conference of the European …, 2014
212014
Groupfinder: A new approach to top-k point-of-interest group retrieval
KS Bøgh, A Skovsgaard, CS Jensen
Proceedings of the VLDB Endowment 6 (12), 1226-1229, 2013
172013
SkyAlign: a portable, work-efficient skyline algorithm for multicore and GPU architectures
KS Bøgh, S Chester, I Assent
The VLDB Journal 25 (6), 817-841, 2016
162016
Hashcube: A data structure for space-and query-efficient skycube compression
KS Bøgh, S Chester, D Šidlauskas, I Assent
Proceedings of the 23rd ACM International Conference on Conference on …, 2014
132014
Template skycube algorithms for heterogeneous parallelism on multicore and GPU architectures
KS Bøgh, S Chester, D Šidlauskas, I Assent
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
82017
Optimal column layout for hybrid workloads
M Athanassoulis, KS Bøgh, S Idreos
Proceedings of the VLDB Endowment 12 (13), 2393-2407, 2019
72019
Efficient Skycube Computation on the GPU
KS Bøgh
Aarhus Universitet, Datalogisk Institut, 2013
12013
Scalable Parallelization of Skyline Computation for Multicore
DS Sean Chester, I Assent, KS Bøgh
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