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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
,
K. G. Hustad
,
J. Langguth
and
X. Cai
Enabling unstructured-mesh computation on massively tiled AI processors: An example of accelerating in silico cardiac simulation
Frontiers in Physics
11 (2023).
Journal Article
2023
View
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
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Find publication
Status
Published
(8)
Departments
Communication Systems
(1)
Machine Learning
(1)
Scientific Computing
Publication type
Journal articles
(1)
Proceedings, refereed
(5)
Talks, invited
(2)
Year published
2023
(1)
2022
(2)
2021
(2)
2020
(3)