activity
20212026
most citedTAMM: Tensor Algebra for Many-body Methods

23 citations · 26 across the 6 of their papers we have counts for

collaborators

7 papers

cs.DS2026

Parametrized Exact Hardware-Software Partitioning

Cameron Ibrahim, S M Ferdous, Erdal Mutlu +2

When optimizing computing architecture for specific computationally intensive tasks, such as evaluating or training a neural network, it is important to identify what computational…

cs.LG2026

Prediction of Runtime Parameters of Parallel Chemistry Applications via Active and Generative Learning

Tanzila Tabassum, Omer Subasi, Ajay Panyala +5

In this work, we develop two main Machine Learning based approaches to predict the runtime parameters of highly scalable parallel chemistry computations.These approaches employ act…

cs.LG2025

Guiding Application Users via Estimation of Computational Resources for Massively Parallel Chemistry Computations

Tanzila Tabassum, Omer Subasi, Ajay Panyala +6

In this work, we develop machine learning (ML) based strategies to predict resources (costs) required for massively parallel chemistry computations, such as coupled-cluster methods…

physics.chem-ph2023

Real-time Equation-of-Motion Coupled-Cluster Cumulant Green's Function Method: Heterogeneous Parallel Implementation Based on the Tensor Algebra for Many-body Methods Infrastructure

Himadri Pathak, Ajay Panyala, Bo Peng +5

We report the implementation of the real-time equation-of-motion coupled-cluster (RT-EOM-CC) cumulant Green's function method [J. Chem. Phys. 152, 174113 (2020)] within the Tensor…

physics.chem-ph2022★ 1 cited

Real-time equation-of-motion CC cumulant and CC Green's function simulations of photoemission spectra of water and water dimer

Fernando D. Vila, John J. Rehr, Himadri Pathak +5

Newly developed coupled-cluster (CC) methods enable simulations of ionization potentials and spectral functions of molecular systems in a wide range of energy scales ranging from c…

cs.DC2022★ 23 cited

TAMM: Tensor Algebra for Many-body Methods

Erdal Mutlu, Ajay Panyala, Nitin Gawande +7

Tensor contraction operations in computational chemistry consume significant fractions of computing time on large-scale computing platforms. The widespread use of tensor contractio…

cs.MS2021★ 2 cited

COMET: A Domain-Specific Compilation of High-Performance Computational Chemistry

Erdal Mutlu, Ruiqin Tian, Bin Ren +4

The computational power increases over the past decades havegreatly enhanced the ability to simulate chemical reactions andunderstand ever more complex transformations. Tensor cont…