activity
20092026
most citedPerformance Characterization of Multi-threaded Graph Processing Applications on Intel Many-Integrated-Core Architecture

13 citations · 18 across the 14 of their papers we have counts for

collaborators

14 papers

physics.chem-ph2026

Reaction-network reasoning with frontier models for experimentally confirmed catalyst-selectivity hypotheses

Sutanay Choudhury, Anwesha Banerjee, Udishnu Sanyal +7

Catalysts are essential for sustainable chemical manufacturing, yet discovering novel architectures remains a bottleneck dominated by trial-and-error experimentation and computatio…

cs.DC2026

QoSFlow: Ensuring Service Quality of Distributed Workflows Using Interpretable Sensitivity Models

Md Hasanur Rashid, Jesun Firoz, Nathan R. Tallent +3

With the increasing importance of distributed scientific workflows, there is a critical need to ensure Quality of Service (QoS) constraints, such as minimizing time or limiting exe…

cs.DC2025

Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE

Jesun Firoz, Franco Pellegrini, Mario Geiger +17

Chemistry Foundation Models (CFMs) that leverage Graph Neural Networks (GNNs) operating on 3D molecular graph structures are becoming indispensable tools for computational chemists…

cs.DC2024★ 1 cited

Final Report for CHESS: Cloud, High-Performance Computing, and Edge for Science and Security

Nathan Tallent, Jan Strube, Luanzheng Guo +9

Automating the theory-experiment cycle requires effective distributed workflows that utilize a computing continuum spanning lab instruments, edge sensors, computing resources at mu…

cs.AR2023

CXLMemUring: A Hardware Software Co-design Paradigm for Asynchronous and Flexible Parallel CXL Memory Pool Access

Yiwei Yang, Yusheng Zheng, Kexin Chu +3

CXL-attached memory lets servers add more memory while keeping the standard load/store programming model. The main drawback is latency. CXL memory accesses are too slow for normal…

cs.LG2022★ 1 cited

Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry

Hatem Helal, Jesun Firoz, Jenna Bilbrey +5

Molecular property calculations are the bedrock of chemical physics. High-fidelity \textit{ab initio} modeling techniques for computing the molecular properties can be prohibitivel…