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Flash-X: A multiphysics simulation software instrument
Flash-X is a highly composable multiphysics software system that can be used to simulate
physical phenomena in several scientific domains. It derives some of its solvers from FLASH …
physical phenomena in several scientific domains. It derives some of its solvers from FLASH …
Application experiences on a GPU-accelerated Arm-based HPC testbed
This paper assesses and reports the experience of ten teams working to port, validate, and
benchmark several High Performance Computing applications on a novel GPU-accelerated …
benchmark several High Performance Computing applications on a novel GPU-accelerated …
The Impact of Resolution on Double-detonation Models for Type Ia Supernovae
Thermonuclear supernovae are the result of the violent unbinding of a white dwarf (WD), but
the precise nature of the explosion mechanism (s) is a matter of active debate. To this end …
the precise nature of the explosion mechanism (s) is a matter of active debate. To this end …
Towards performance portability in the spark astrophysical magnetohydrodynamics solver in the flash-x simulation framework
Simulations of core-collapse supernovae, and other astrophysical phenomena, are
quintessential extreme-scale computing challenges. For core-collapse supernova …
quintessential extreme-scale computing challenges. For core-collapse supernova …
Convergent data-driven workflows for open radiation calculations: an exportable methodology to any field
The fast growth worldwide of linkable scientific datasets supposes significant challenges in
their management and reuse. Large experiments, such as the Latin American Giant …
their management and reuse. Large experiments, such as the Latin American Giant …
Performance Porting the ExaStar Multi-Physics App Thornado On Heterogeneous Systems-A Fortran-OpenMP Code-Base Evaluation
The heterogeneity of HPC systems requires efficient host-to-device porting of compute
kernels and high-bandwidth data communication. This capability varies from one system to …
kernels and high-bandwidth data communication. This capability varies from one system to …
Towards AI for approximating hydrodynamic simulations as a 2D segmentation task
L Bryan-Smith, N Dethlefs - Northern Lights Deep Learning …, 2024 - proceedings.mlr.press
Traditional predictive simulations and remote sensing techniques for forecasting floods are
based on fixed and spatially restricted physics-based models. These models are …
based on fixed and spatially restricted physics-based models. These models are …
Exo-intelligent Data-Driven Reconfigurable Computing Platform
V Zaborovskij, A Antonov, I Kaliaev - Digital Transformation and the World …, 2022 - Springer
The key concept of the digital age is based on the Turing machine abstraction, which defines
computational processes as the evolution of the states of a machine that performs a basic …
computational processes as the evolution of the states of a machine that performs a basic …
Performance Porting the ExaStar Multi-Physics App Thornado On
The heterogeneity of HPC systems requires efficient host-todevice porting of compute
kernels and high-bandwidth data communication. This capability varies from one system to …
kernels and high-bandwidth data communication. This capability varies from one system to …
Research and comparative analysis of the effectiveness of software and hardware implementations of transposed matrix multiplication
AP Antonov, DS Besedin, AS Filippov - Информатика …, 2024 - mathnet.ru
The article is devoted to the study and comparative analysis of the software and hardware
implementation of the transposed matrix multiplication operation and its modified version …
implementation of the transposed matrix multiplication operation and its modified version …