HPC Library for Exascale Linear Solver

HPC Library for Exascale Linear Solver
High-Performance Computing (HPC) Software Ecosystem Development Program Grant, National Research Foundation of Korea (NRF)

November 1, 2025

By BDAI Lab

Project Duration: September 2025 ~ August 2027

Total Grant Amount: KRW ~200,000,000 (approx. USD 200K)

Project Overview

• Develops a scalable, high-performance numerical library targeting sparse and dense linear solvers for exascale supercomputers
• Designs six specialized solver modules including tridiagonal matrix solvers, Poisson solvers, and unstructured sparse matrix solvers (e.g., PaScaL_TDMA, UCFD_SPARSE, OCTREE_POISSON)
• Implements CPU/GPU heterogeneous parallelism, vectorization, and distributed computing optimizations
• Validates performance on national supercomputers (e.g., Nurion 5th/6th gen) with superior scalability (up to 120 PF), outperforming competing libraries like STRUMPACK and SuperLU
• Engages with domain researchers across academia and industry for use cases in CFD, electromagnetics, and fluid-structure interaction simulations

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We are actively recruiting new BDAI members.

Openings are available for M.S. / Ph.D. students, postdoctoral researchers, and undergraduate research interns interested in data and AI-centric research.

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We welcome motivated graduate students who want to grow as independent researchers. Students are expected to identify important problems, design rigorous solutions, conduct careful experiments, and communicate their work through high-quality publications.

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We welcome postdoctoral researchers interested in leading data and AI-centric research with strong academic and real-world impact. You will have opportunities to define independent research directions, collaborate with international partners, and contribute to high-impact publications.

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How to Apply

Please email your CV, transcript, and brief research interests to Prof. Kwanghyun Park.

kwanghyun.park@yonsei.ac.kr
+82-2-2123-2718
Engineering Hall 4, D802 / D706
50 Yonsei-ro, Seodaemun-gu, Seoul, Korea
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