Publications de Snehal Pramod Kumbhar

MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL

Felix Schürmann, Pramod Shivaji Kumbhar, Snehal Pramod Kumbhar, Omar Awile, Ioannis Magkanaris

Advances in computational capabilities and large volumes of experimental data have established computer simulations of brain tissue models as an important pillar in modern neuroscience. Alongside, a variety of domain specific languages (DSLs) have been dev ...

ACM2023

OPTIMADE, an API for exchanging materials data

Nicola Marzari, Gian-Marco Rignanese, Giovanni Pizzi, Andrius Merkys, Matthias Scheffler, Martin Uhrin, Snehal Pramod Kumbhar, Boris Kozinsky, Christoph Leopold Talirz, Casper Welzel Andersen

The Open Databases Integration for Materials Design (OPTIMADE) consortium has designed a universal application programming interface (API) to make materials databases accessible and interoperable. We outline the first stable release of the specification, v ...

NATURE PORTFOLIO2021

AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance

Sebastiaan Philippe Huber, Nicolas Frank Mounet, Nicola Marzari, Fernando Gargiulo, Andrea Cepellotti, Giovanni Pizzi, Leonid Kahle, Aliaksandr Yakutovich, Andrius Merkys, Martin Uhrin, Snehal Pramod Kumbhar, Spyros Zoupanos, Boris Kozinsky, Christoph Leopold Talirz, Elsa Passaro, Conrad Johnston, Casper Welzel Andersen, Carl Simon Adorf, Francisco Fernando Ramirez

The ever-growing availability of computing power and the sustained development of advanced computational methods have contributed much to recent scientific progress. These developments present new challenges driven by the sheer amount of calculations and d ...

2020

Materials Cloud, a platform for open computational science

Sebastiaan Philippe Huber, Nicola Marzari, Fernando Gargiulo, Giovanni Pizzi, Aliaksandr Yakutovich, Berend Smit, Martin Uhrin, Snehal Pramod Kumbhar, Spyros Zoupanos, Christoph Leopold Talirz, Elsa Passaro, Casper Welzel Andersen, Daniele Passerone

Materials Cloud is a platform designed to enable open and seamless sharing of resources for computational science, driven by applications in materials modelling. It hosts (1) archival and dissemination services for raw and curated data, together with their ...

2020