activity
20182026
collaborators

5 papers

cs.DC2026

Is RISC-V Ready for Massively Parallel Astrophysical Codes?

Jenny Lynn Almerol, Nitin Shukla, Federico Ficarelli +5

We present a performance and portability evaluation of three well-established astrophysical production codes, namely iPIC3D, PLUTO, and OpenGadget3, on a Sophgo SG2044 RISC-V proce…

astro-ph.IM2026

OpenGadget3 GPU solver tests

A. Ragagnin, G. S. Karademir, F. Groth +6

We present an in-depth evaluation of the scalability and accuracy of the GPU porting of the N-body code for hydrodynamic cosmological simulations \og. While technical details of ou…

astro-ph.IM2026

SPACE-Timers -- A Stack-Based Hierarchical Timing System for C++

Geray S. Karademir, Klaus Dolag

SPACE-Timers are a lightweight hierarchical profiling framework for C++ designed for modern high-performance computing (HPC) applications. It uses a stack-based timing model to cap…

cs.DC2025

Towards Exascale Computing for Astrophysical Simulation Leveraging the Leonardo EuroHPC System

Nitin Shukla, Alessandro Romeo, Caterina Caravita +16

Developing and redesigning astrophysical, cosmological, and space plasma numerical codes for existing and next-generation accelerators is critical for enabling large-scale simulati…

cs.LG2018

SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning

Marvin Zhang, Sharad Vikram, Laura Smith +3

Model-based reinforcement learning (RL) has proven to be a data efficient approach for learning control tasks but is difficult to utilize in domains with complex observations such…