Luk Burchard

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

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

J. Langguth and L. Burchard

ML Accelerator Hardware: A Model for Parallel Sparse Computations?

University of Vienna, Austria

J. Langguth and L. Burchard

ML Accelerator Hardware: A Model for Parallel Sparse Computations?

Siam ACDA, Aussois, France

L. Burchard, X. Cai and J. Langguth

iPUG for multiple Graphcore IPUs: Optimizing performance and scalability of parallel breadth-first search

28th IEEE International Conference on High Performance Computing, Data, & Analytics (HiPC)

L. Burchard, J. Moe, D. T. Schroeder, K. Pogorelov and J. Langguth

iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs

High Performance Computing. ISC High Performance 2021

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

2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS)

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

Media Eval Challange 2020

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

Resource Efficient Algorithms for Message Sampling in Online Social Networks

The Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS-2020)