132 citations · 140 across the 7 of their papers we have counts for
8 papers
The OpenGadget3 Code for Cosmological Simulations
Klaus Dolag, Geray S. Karademir, Luca Tornatore +28
We present the public release of OpenGadget3 (OG3), a substantially extended and re-organised version of the widely used Gadget-2/3 family of cosmological simulation codes. Since G…
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…
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…
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…
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…
Measurement of the evolving galaxy luminosity and mass function using clustering-based redshift inference
Geray S. Karademir, Edward N. Taylor, Chris Blake +3
We develop a framework for using clustering-based redshift inference (cluster-) to measure the evolving galaxy luminosity function (GLF) and galaxy stellar mass function (GSMF)…
Galaxy And Mass Assembly (GAMA): Galaxy Luminosity Function down to via Clustering Based Redshift Inference
Geray S. Karademir, Edward N. Taylor, Chris Blake +12
In this study we present a new experimental design using clustering-based redshift inference to measure the evolving galaxy luminosity function (GLF) spanning 5.5 decades from $L \…
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…