NDFT: Accelerating Density Functional Theory Calculations via Hardware/Software Co-Design on Near-Data Computing System

Linear-response time-dependent Density Functional Theory (LR-TDDFT) is a widely used method for accurately predicting the excited-state properties of physical systems. Previous works have attempted to accelerate LR-TDDFT using heterogeneous systems such as GPUs, FPGAs, and the Sunway architecture. H...

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Bibliographic Details

Published in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) pp. 1 - 7
Main Authors:	Jiang, Qingcai, Tu, Buxin, Hao, Xiaoyu, Chen, Junshi, An, Hong
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22.06.2025
Subjects:	Density functional theory Design automation Field programmable gate arrays Graphics processing units Hardware/Software Co-Design Kernel Memory management Near-Data Processing Processor scheduling Scalability Workload Scheduling
Online Access:	Get full text
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