activity
20232026
collaborators

7 papers

cs.DC2026

Scalable AI-assisted Workflow Management for Detector Design Optimization Using Distributed Computing

Derek Anderson, Amit Bashyal, Markus Diefenthaler +13

The Production and Distributed Analysis (PanDA) system, originally developed for the ATLAS experiment at the CERN Large Hadron Collider (LHC), has evolved into a robust platform fo…

hep-ex2026

CelloAI Benchmarks: Toward Repeatable Evaluation of AI Assistants

Mohammad Atif, Kriti Chopra, Fang-Ying Tsai +8

Large Language Models (LLM) are increasingly used for software development, yet existing benchmarks for LLM-based coding assistance do not reflect the constraints of High Energy Ph…

hep-ex2026

Evaluating Application Characteristics for GPU Portability Layer Selection

Mohammad Atif, Meghna Bhattacharya, Mark Dewing +12

GPUs have become the dominant source of computing power for high performance computing and are increasingly being used across the High Energy Physics computing landscape for a wide…

cs.SE2025

CelloAI: Leveraging Large Language Models for HPC Software Development in High Energy Physics

Mohammad Atif, Kriti Chopra, Ozgur Kilic +6

Next-generation High Energy Physics (HEP) experiments will generate unprecedented data volumes, necessitating High Performance Computing (HPC) integration alongside traditional hig…

cs.PF2025

A Microbenchmark Framework for Performance Evaluation of OpenMP Target Offloading

Mohammad Atif, Tianle Wang, Zhihua Dong +2

We present a framework based on Catch2 to evaluate performance of OpenMP's target offload model via micro-benchmarks. The compilers supporting OpenMP's target offload model for het…

physics.flu-dyn2024

Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence

Mohammad Atif, Pulkit Dubey, Pratik P. Aghor +9

High-fidelity direct numerical simulation of turbulent flows for most real-world applications remains an outstanding computational challenge. Several machine learning approaches ha…

physics.flu-dyn2023

Towards Accelerating Particle-Resolved Direct Numerical Simulation with Neural Operators

Mohammad Atif, Vanessa López-Marrero, Tao Zhang +8

We present our ongoing work aimed at accelerating a particle-resolved direct numerical simulation model designed to study aerosol-cloud-turbulence interactions. The dynamical model…