Performance and Efficiency in HPC with Custom Computing

Externally Funded
Principal Investigator
Christian Plessl
Tobias Kenter, Michael Laß
Grant Number
Funding Organisation

5 Publications

2018 | | LibreCat-ID: 1590
A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices
M. Lass, S. Mohr, H. Wiebeler, T. Kühne, C. Plessl, in:, Proc. Platform for Advanced Scientific Computing (PASC) Conference, ACM, New York, NY, USA, 2018.
LibreCat | DOI | arXiv
2018 | | LibreCat-ID: 20
Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots
M. Lass, T. Kühne, C. Plessl, Embedded Systems Letters 10 (2018) 33.
LibreCat | DOI | arXiv
2018 | | LibreCat-ID: 21
A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices
D. Richters, M. Lass, A. Walther, C. Plessl, T. Kühne, Communications in Computational Physics (2018).
LibreCat | arXiv
2017 | | LibreCat-ID: 1592
Flexible FPGA design for FDTD using OpenCL
T. Kenter, J. Förstner, C. Plessl, in:, Proc. Int. Conf. on Field Programmable Logic and Applications (FPL), IEEE, 2017.
LibreCat | DOI
2016 | | LibreCat-ID: 24
Microdisk Cavity FDTD Simulation on FPGA using OpenCL
T. Kenter, C. Plessl, in:, Proc. Workshop on Heterogeneous High-Performance Reconfigurable Computing (H2RC), 2016.