13 citations · 26 across the 14 of their papers we have counts for
16 papers
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…
Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision
Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457
Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…
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…
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…
AI-Powered Assistant for Long-Term Access to RHIC Knowledge
Mohammad Atif, Vincent Garonne, Eric Lancon +3
As the Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Laboratory concludes 25 years of operation, preserving not only its vast data holdings (1 ExaByte) but al…
Packaging HEP Heterogeneous Mini-apps for Portable Benchmarking and Facility Evaluation on Modern HPCs
Mohammad Atif, Pengfei Ding, Ka Hei Martin Kwok +1
High Energy Physics (HEP) experiments are making increasing use of GPUs and GPU dominated High Performance Computer facilities. Both the software and hardware of these systems are…
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…
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…
Lattice Boltzmann Model for Transonic Flows
M. Atif, N. H. Maruthi, P. K. Kolluru +2
The hydrodynamic limit of a discrete kinetic equation is intrinsically connected with the symmetry of the lattices used in construction of a discrete velocity model. On mixed latti…
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…
Evaluating Portable Parallelization Strategies for Heterogeneous Architectures in High Energy Physics
Mohammad Atif, Meghna Battacharya, Paolo Calafiura +17
High-energy physics (HEP) experiments have developed millions of lines of code over decades that are optimized to run on traditional x86 CPU systems. However, we are seeing a rapid…
Portable Programming Model Exploration for LArTPC Simulation in a Heterogeneous Computing Environment: OpenMP vs. SYCL
Meifeng Lin, Zhihua Dong, Tianle Wang +6
The evolution of the computing landscape has resulted in the proliferation of diverse hardware architectures, with different flavors of GPUs and other compute accelerators becoming…
Effect of outer cylinder rotation on the radially heated Taylor-Couette flow
Pratik Aghor, Mohammad Atif
A Taylor-Couette setup with radial heating is considered where a Boussinesq fluid is sheared in the annular region between two concentric, independently rotating cylinders maintain…
Essentially entropic lattice Boltzmann model: Theory and simulations
Mohammad Atif, Praveen Kumar Kolluru, Santosh Ansumali
We present a detailed description of the essentially entropic lattice Boltzmann model. The entropic lattice Boltzmann model guarantees unconditional numerical stability by iterativ…
Reduced kinetic model of polyatomic gases
Praveen Kumar Kolluru, Mohammad Atif, Santosh Ansumali
Kinetic models of polyatomic gas typically account for the internal degrees of freedom at the level of the two-particle distribution function. However, close to the hydrodynamic li…
Lattice Boltzmann model for weakly compressible flows
Praveen Kumar Kolluru, Mohammad Atif, Manjusha Namburi +1
We present an energy conserving lattice Boltzmann model based on a crystallographic lattice for simulation of weakly compressible flows. The theoretical requirements and the method…