no code implementations • 16 Feb 2024 • Ahab Isaac, Wesley Armour, Karel Adámek
Accurate modelling of spectra produced by X-ray sources requires the use of Monte-Carlo simulations.
no code implementations • 8 Feb 2023 • Jiří Martinů, Jan Novotný, Karel Adámek, Petr Čermák, Jiří Kozel, David Školoudík
In this work, we have introduced robustness, accuracy and cumulative distance metrics and methodology that allows us to compare different techniques and approaches in matching brain MRI of different patients or matching MRI brain slice to a position in the brain atlas.
no code implementations • 4 Jan 2021 • Jan Novotný, Karel Adámek, Wes Armour
To be able to run tasks asynchronously on NVIDIA GPUs a programmer must explicitly implement asynchronous execution in their code using the syntax of CUDA streams.
Instrumentation and Methods for Astrophysics Distributed, Parallel, and Cluster Computing
no code implementations • 13 Sep 2020 • Karel Adámek, Jan Novotný, Jeyarajan Thiyagalingam, Wesley Armour
We demonstrate how these results can be used to lower the power consumption of existing data processing pipelines.
Performance C.4
4 code implementations • 6 Dec 2018 • Karel Adámek, Wesley Armour
Time-domain radio astronomy utilizes a harmonic sum algorithm as part of the Fourier domain periodicity search, this type of search is used to discover single pulsars.
Instrumentation and Methods for Astrophysics
4 code implementations • 29 Nov 2017 • Karel Adámek, Sofia Dimoudi, Mike Giles, Wesley Armour
Our new improved convolution code which uses our custom GPU FFT code is between 2. 5 and 3. 9 times faster the than our cuFFT-based implementation (on an NVIDIA P100) and allows for a wider range of filter sizes then our previous version.
Instrumentation and Methods for Astrophysics
3 code implementations • 29 Nov 2016 • Karel Adámek, Wesley Armour
This code is part of the AstroAccelerate project which is a many-core accelerated time-domain signal processing code for radio astronomy.
Instrumentation and Methods for Astrophysics