Improving cryptanalytic applications with stochastic runtimes on GPUs and multicores
L Oden, J Keller - Parallel Computing, 2022 - Elsevier
We investigate cryptanalytic applications comprised of many independent tasks that exhibit
a stochastic runtime distribution. We compare four algorithms for executing such …
a stochastic runtime distribution. We compare four algorithms for executing such …
Replication study challenges and new number formats for chaotic pseudo random number generators
C Heßeling, J Keller - it-Information Technology, 2022 - degruyter.com
Abstract Chaotic Pseudo Random Number Generators have been seen as a promising
candidate for secure random number generation. Using the logistic map as state transition …
candidate for secure random number generation. Using the logistic map as state transition …
Chaotic pseudo random number generators: A case study on replication study challenges
J Keller - Proceedings of the 16th International Conference on …, 2021 - dl.acm.org
Chaotic Pseudo Random Number Generators have been seen as a promising candidate for
secure random number generation. Using the logistic map as state transition function, we …
secure random number generation. Using the logistic map as state transition function, we …
Modelling Performance Loss due to Thread Imbalance in Stochastic Variable-Length SIMT Workloads
SN Swatman, AL Varbanescu… - … , and Simulation of …, 2022 - ieeexplore.ieee.org
When designing algorithms for single-instruction multiple-thread (SIMT) devices such as
general purpose graphics processing units (GPGPUs), thread imbalance is an important …
general purpose graphics processing units (GPGPUs), thread imbalance is an important …