Niko Zurstraßen

According to our database, Niko Zurstraßen authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

NQC²: A Non-Intrusive QEMU Code Coverage Plugin.

Nils Bosbach, Alwalid Salama, Lukas Jünger, Mark Burton, Niko Zurstraßen, Rebecca Pelke, Rainer Leupers

Proceedings of the 16th Workshop on Rapid Simulation and Performance Evaluation for Design, 2024

2023

parti-gem5: gem5's Timing Mode Parallelised.

José Cubero-Cascante, Niko Zurstraßen, Jörn Nöller, Rainer Leupers, Jan Moritz Joseph

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2023

Efficient RISC-V-on-x64 Floating Point Simulation.

Niko Zurstraßen, Nils Bosbach, Jan Moritz Joseph, Lukas Jünger, Jan Henrik Weinstock, Rainer Leupers

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

Entropy-Based Analysis of Benchmarks for Instruction Set Simulators.

Nils Bosbach, Lukas Jünger, Rebecca Pelke, Niko Zurstraßen, Rainer Leupers

Proceedings of the DroneSE and RAPIDO: System Engineering for constrained embedded systems, 2023

par-gem5: Parallelizing gem5's Atomic Mode.

Niko Zurstraßen, José Cubero-Cascante, Jan Moritz Joseph, Li Yichao, Xinghua Xie, Rainer Leupers

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Work-in-Progress: A Generic Non-Intrusive Parallelization Approach for SystemC TlM-2.0-Based Virtual Platforms.

Nils Bosbach, Rebecca Pelke, Niko Zurstraßen, Lukas Jünger, Jan Henrik Weinstock, Rainer Leupers

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2023

Game Physics Engine Using Optimised Geometric Algebra RISC-V Vector Extensions Code Using Fourier Series Data.

Ed Saribatir, Niko Zurstraßen, Dietmar Hildenbrand, Florian Stock, Atilio Morillo Piña, Frederic von Wegner, Zheng Yan, Shiping Wen, Matthew Arnold

Proceedings of the Advances in Computer Graphics, 2023

2022

AMAIX In-Depth: A Generic Analytical Model for Deep Learning Accelerators.

Niko Zurstraßen, Lukas Jünger, Tim Kogel, Holger Keding, Rainer Leupers

Int. J. Parallel Program., 2022

2020

AMAIX: A Generic Analytical Model for Deep Learning Accelerators.

Lukas Jünger, Niko Zurstraßen, Tim Kogel, Holger Keding, Rainer Leupers

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2020