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Luk Burchard
PhD Student
Organisation:
Department of High Performance Computing
Email:
[email protected]
Website:
https://lbb.sh
Most recent publications
L. Burchard
,
X. Cai
and
J. Langguth
iPUG for multiple Graphcore IPUs: Optimizing performance and scalability of parallel breadth-first search
In
28th IEEE International Conference on High Performance Computing, Data, & Analytics (HiPC)
. Bangalore, India: IEEE, 2021.
Proceedings, refereed
2021
View
L. Burchard
,
J. Moe
,
D. T. Schroeder
,
K. Pogorelov
and
J. Langguth
iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs
In
High Performance Computing. ISC High Performance 2021
. Vol. LNCS, volume 12728. Cham: Springer International Publishing, 2021.
Proceedings, refereed
2021
View
K. Pogorelov
,
D. T. Schroeder
,
L. Burchard
,
J. Moe
,
S. Brenner
,
P. Filkukova
and
J. Langguth
FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020
In
Media Eval Challange 2020
. CEUR, 2020.
Proceedings, refereed
2020
View
L. Burchard
,
D. T. Schroeder
,
K. Pogorelov
,
S. Becker
,
E. Dietrich
,
P. Filkukova
and
J. Langguth
A Scalable System for Bundling Online Social Network Mining Research
In
2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS)
. IEEE, 2020.
Proceedings, refereed
2020
View
Find publication
Status
Published
(5)
Departments
Machine Learning
(1)
Scientific Computing
(5)
Publication type
Journal articles
(2)
Proceedings, refereed
Talks, invited
(2)
Year published
2021
(2)
2020
(3)