Cover Image

jaxsgp4: GPU-accelerated mega-constellation propagation with batch parallelism

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Priestley, Charlotte, Handley, Will
Format:	Preprint
Published:	2026
Subjects:	Distributed, Parallel, and Cluster Computing Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SWIFT: A modern highly-parallel gravity and smoothed particle hydrodynamics solver for astrophysical and cosmological applications
by: Schaller, Matthieu, et al.
Published: (2023)

Architecture of Tianyu Software: Relative Photometry as a Case Study
by: Rui, Yicheng, et al.
Published: (2025)

votess: A multi-target, GPU-capable, parallel Voronoi tessellator
by: Singh, Samridh Dev, et al.
Published: (2024)

Using the Open Science Data Federation for data distribution: Big Bear Solar Observatory use case
by: Montiel, Sydney, et al.
Published: (2026)

FFCz: Fast Fourier Correction for Spectrum-Preserving Lossy Compression of Scientific Data
by: Ren, Congrong, et al.
Published: (2026)

Bringing Computation to the data: Interoperable serverless function execution for astrophysical data analysis in the SRCNet
by: Parra-Royón, Manuel, et al.
Published: (2026)

Accelerating radio astronomy imaging with RICK: a step towards SKA-Mid and SKA-Low
by: Lacopo, Giovanni, et al.
Published: (2026)

Advanced computing for reproducibility of astronomy Big Data Science, with a showcase of AMIGA and the SKA Science prototype
by: Garrido, Julián, et al.
Published: (2026)

In-Situ High Performance Visualization for Astronomy & Cosmology
by: Tuccari, Nicola, et al.
Published: (2025)

HPX with Spack and Singularity Containers: Evaluating Overheads for HPX/Kokkos using an astrophysics application
by: Diehl, Patrick, et al.
Published: (2024)

Exascale In-situ visualization for Astronomy & Cosmology
by: Tuccari, Nicola, et al.
Published: (2025)

A description of the radio astronomy data processing tool DDF Pipeline
by: Certenais, Mathis, et al.
Published: (2025)

High performance visualization for Astronomy and Cosmology: the VisIVO's pathway toward Exascale systems
by: Sciacca, Eva, et al.
Published: (2025)

Green computing toward SKA era with RICK
by: Lacopo, Giovanni, et al.
Published: (2025)

Integration of storage endpoints into a Rucio data lake, as an activity to prototype a SKA Regional Centres Network
by: Parra-Royón, Manuel, et al.
Published: (2023)

EuroHPC SPACE CoE: Redesigning Scalable Parallel Astrophysical Codes for Exascale
by: Shukla, Nitin, et al.
Published: (2025)

The Tensor-Core Beamformer: A High-Speed Signal-Processing Library for Multidisciplinary Use
by: Oostrum, Leon, et al.
Published: (2025)

Processing All-Sky Images At Scale On The Amazon Cloud: A HiPS Example
by: Berriman, G. Bruce, et al.
Published: (2024)

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs
by: David--Cléris, Timothée, et al.
Published: (2025)

Interactive High-Performance Visualization for Astronomy and Cosmology
by: Sciacca, Eva, et al.
Published: (2025)

A 400Gbit Ethernet core enabling High Data Rate Streaming from FPGAs to Servers and GPUs in Radio Astronomy
by: Liu, Wei, et al.
Published: (2024)

Benchmarking with Supernovae: A Performance Study of the FLASH Code
by: Martin, Joshua, et al.
Published: (2024)

Contamination of spectroscopic observations by satellite constellations
by: Moehler, Olivier R. Hainaut Sabine
Published: (2024)

The GPU Phase Folding and Deep Learning Method for Detecting Exoplanet Transits
by: Wang, Kaitlyn, et al.
Published: (2023)

Unified schemes for directive-based GPU offloading
by: Miki, Yohei, et al.
Published: (2024)

ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling
by: Wang, Xiao, et al.
Published: (2025)

Kernel-, mean- and noise-marginalised Gaussian processes for exoplanet transits and $H_0$ inference
by: Kroupa, Namu, et al.
Published: (2023)

Mercury-Opal: the GPU-accelerated version of the n-body code for planet formation Mercury-Arxes
by: Simonetti, Paolo, et al.
Published: (2026)

Diffuse and specular brightness models applied to LEO satellites. Case study: The ONEWEB constellation
by: Romero-Colmenares, María, et al.
Published: (2026)

HARD: A Performance Portable Radiation Hydrodynamics Code based on FleCSI Framework
by: Loiseau, Julien, et al.
Published: (2025)

MadVoro: Parallel Construction of Voronoi Diagrams in Distributed Memory Systems
by: Mizrachi, Maor, et al.
Published: (2025)

Image Pre-Processing Framework for Time-Domain Astronomy in the Artificial Intelligence Era
by: Cao, Liang, et al.
Published: (2025)

The PLUTO Code on GPUs: Offloading Lagrangian Particle Methods
by: Suriano, Alessio, et al.
Published: (2026)

Reproducing the results for NICER observation of PSR J0030+0451
by: Afle, Chaitanya, et al.
Published: (2023)

Terrestrial planet formation in the era of GPU computing
by: Grimm, Simon L., et al.
Published: (2026)

Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machine Learning
by: Hesar, Fatemeh Fazel, et al.
Published: (2026)

ExoNet: Calibrated Multimodal Deep Learning for TESS Exoplanet Candidate Vetting using Phase-Folded Light Curves, Stellar Parameters, and Multi-Head Attention
by: Islam, Md. Rashadul
Published: (2026)

You Only Stack Once (YOSO): A Motion-Filtered, Deep-Learning Framework for Detecting Faint Moving Sources
by: Pandey, Nitya, et al.
Published: (2026)

A Cloud-Based Tool for Meteorite Recovery Using Drones and Machine Learning
by: Anderson, Seamus L., et al.
Published: (2026)

Earth Science Foundation Models: From Perception to Reasoning and Discovery
by: Zhao, Xiangyu, et al.
Published: (2026)