Karel Adámek

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Senior Researcher and Departmental Lecturer

University of Oxford

United Kingdom

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About

Karel Adámek is a Senior Researcher and Departmental Lecturer at the University of Oxford, UK. His research areas include pulsar detection, GPU-accelerated data processing, and analytical methods in X-ray crystallography, as evidenced by his recent articles. He has made significant contributions to the fields of astrophysics and computer science, particularly in the development of tools for analyzing astronomical data and enhancing computational efficiency.

Recent Grants

Grant: Close

A Scaled Agile Framework (SAFe) team to contribute to software development for the Square Kilometre Array in the construction phase.

Open Date: 2022-01-01

Close Date: 2024-12-31

Articles (12)

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2021

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2020

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2020

Collaborators (4)

Wes Armour

University of Oxford

UNITED KINGDOM

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Jan Novotný

University of Oxford

UNITED KINGDOM

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David Školoudík

University Hospital Ostrava

CZECH REPUBLIC

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Michael Giles

University of Oxford

UNITED KINGDOM

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Karel Adámek

Research Interests

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About

Recent Grants

Articles (12)

Globular Clusters GMRT Pulsar Search (GCGPS). I. Survey Description, Discovery and Timing of the First Pulsar in NGC6093 (M80)

Pulscan: Binary Pulsar Detection Using Unmatched Filters on NVIDIA GPUs

AnACor2.0: a GPU-accelerated open-source software package for analytical absorption corrections in X-ray crystallography

Intensity-sensitive Quality Assessment of Extended Sources in Astronomical Images

Bits Missing: Finding Exotic Pulsars Using bfloat16 on NVIDIA GPUs

A survey of feature detection methods for localisation of plain sections of axial brain magnetic resonance imaging

Web Performance Evaluation of High Volume Streaming Data Visualization

Accelerating Dedispersion Using Many-core Architectures

A novel greedy approach to harmonic summing using GPUs

Efficiency Near the Edge: Increasing the Energy Efficiency of FFTs on GPUs for Real-time Edge Computing

GPU Fast Convolution via the Overlap-and-Save Method in Shared Memory

Single-pulse Detection Algorithms for Real-time Fast Radio Burst Searches Using GPUs

Collaborators (4)

Wes Armour

Jan Novotný

David Školoudík

Michael Giles

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