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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
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D. T. Schroeder, J. Langguth, L. Burchard, K. Pogorelov and P. G. Lind

The connectivity network underlying the German’s Twittersphere: a testbed for investigating information spreading phenomena

Scientific Reports 12, no. 1 (2022).
Journal Article
2022
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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
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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
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2023

Journal articles

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).
Status: Published
2022

Journal articles

D. T. Schroeder, J. Langguth, L. Burchard, K. Pogorelov and P. G. Lind

The connectivity network underlying the German’s Twittersphere: a testbed for investigating information spreading phenomena

Scientific Reports 12, no. 1 (2022).
Status: Published

Talks, invited

J. Langguth and L. Burchard

ML Accelerator Hardware: A Model for Parallel Sparse Computations?

In Siam ACDA, Aussois, France. Aussois: SIAM, 2022.
Status: Published
J. Langguth and L. Burchard

ML Accelerator Hardware: A Model for Parallel Sparse Computations?

In University of Vienna, Austria, 2022.
Status: Published
2021

Proceedings, refereed

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.
Status: Published
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.
Status: Published
2020

Proceedings, refereed

L. Burchard, D. T. Schroeder, S. Becker and J. Langguth

Resource Efficient Algorithms for Message Sampling in Online Social Networks

In The Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS-2020). IEEE, 2020.
Status: Published
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.
Status: Published
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.
Status: Published