4 citations · 6 across the 6 of their papers we have counts for
5 papers
A Unifying Framework to Enable Artificial Intelligence in High Performance Computing Workflows
Jens Domke, Mohamed Wahib, Anshu Dubey +2
Current trends point to a future where large-scale scientific applications are tightly-coupled HPC/AI hybrids. Hence, we urgently need to invest in creating a seamless, scalable fr…
Framework and Methodology for Verification of a Complex Scientific Simulation Software, Flash-X
Akash Dhruv, Rajeev Jain, Jared O'Neal +2
Computational science relies on scientific software as its primary instrument for scientific discovery. Therefore, similar to the use of other types of scientific instruments, corr…
Managing Software Provenance to Enhance Reproducibility in Computational Research
Akash Dhruv, Anshu Dubey
Scientific processes rely on software as an important tool for data acquisition, analysis, and discovery. Over the years sustainable software development practices have made progre…
PyExaFMM: an exercise in designing high-performance software with Python and Numba
Srinath Kailasa, Tingyu Wang, Lorena A. Barba +1
Numba is a game-changing compiler for high-performance computing with Python. It produces machine code that runs outside of the single-threaded Python interpreter and that fully ut…
Reproducibility and Performance: Why Choose?
Ludovic Courtès
Research processes often rely on high-performance computing (HPC), but HPC is often seen as antithetical to "reproducibility": one would have to choose between software that achiev…