# Collaborative Research: Elements: DLToolkit: A Novel Performance Profiling and Analysis Infrastructure for Scientific Deep Learning Workloads

> **NSF 01002526DB NSF RESEARCH & RELATED ACTIVIT** · North Carolina State University (NC) · $162,826

## Abstract

Deep Learning (DL) has improved scientific applications across various scientific domains, including high-energy physics, meteorology, agriculture, and material science. This project introduces DLToolkit, a performance profiling infrastructure tailored for domain scientists to analyze and optimize science-driven DL applications. This project also contributes to education and supports broader usage; the outcomes of this project will be integrated into the Computer Science (CS) curriculum, and both George Mason University and the University of California - Merced are minority-serving institutions, offering opportunities for delivering knowledge about cutting-edge techniques to underrepresented students. Together with industry and national laboratory partners, the project will also provide research training, symposia, and internship opportunities for students, aiming to foster a cohort of performance engineers.

The overarching objective of this project is to improve scientific DL applications. The intellectual merits include three novel profiling capabilities: (a) synergistic tool-framework profiling to streamline extensive domain-specific knowledge from existing DL frameworks to DLToolkit, significantly lowering the barrier for domain scientists to use DLToolkit; (b) just-in-time (JIT)-aware profiling to ensure precise yet lightweight attribution of performance events to complex JIT-compiled DL operators; and (c) tensor-centric profiling to provide a holistic view of tensor 

## Key facts

- **NSF award ID:** 2411136
- **Awardee organization:** North Carolina State University (NC)
- **SAM.gov UEI:** U3NVH931QJJ3
- **PI:** Shuyin Jiao
- **Primary program:** 01002526DB NSF RESEARCH & RELATED ACTIVIT
- **All programs:** Artificial Intelligence (AI), Software Institutes
- **Estimated total:** $162,826
- **Funds obligated:** $162,826
- **Transaction type:** Standard Grant
- **Period:** 06/15/2025 → 05/31/2028

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2411136

## Citation

> US National Science Foundation, Award 2411136, Collaborative Research: Elements: DLToolkit: A Novel Performance Profiling and Analysis Infrastructure for Scientific Deep Learning Workloads. Retrieved via AI Analytics 2026-06-07 from https://api.ai-analytics.org/grant/nsf/2411136. Licensed CC0.

---

*[NSF Awards dataset](/datasets/nsf-awards) · CC0 1.0*