Automatic Generation of Highly Optimized Computer Code for Complex Many-Body Algorithms on High-Performance Computing Platforms (A02)
Automatic Generation of Highly Optimized Computer Code for Complex Many-Body Algorithms on High-Performance Computing Platforms (A02)
批准号:
537404418
负责人:
金额:
$0.0万
依托单位国家:
德国
项目类别:
Collaborative Research Centres
财政年份:
--
资助国家:
德国
项目状态:
未结题
起止时间:
中文摘要
该项目旨在利用自动代码生成技术实现多体电子结构理论的大规模实现。这一发展旨在解决量子化学从头算方法发展中的一些紧迫问题,包括遗留代码、不确定正确性的代码、极其复杂的代码和硬件适应性。主要目标是为大规模计算平台实现高度优化的代码,同时将开发时间缩短许多个数量级,或者使人类无法实现过于复杂的理论成为可能。所提出的代码生成链由三个步骤组成:方程生成器、用于优化中间产物生成的因子化器和产生特定于主机和硬件的高级代码的实际代码生成器。
英文摘要
This project aims to achieve large-scale implementations of many-body electronic structure theories using automatic code generation. This development aims at addressing a number of pressing issues in the development of quantum chemical ab initio methods including legacy code, code of uncertain correctness, code of overwhelming complexity, and hardware adaptability. The main goal is to arrive at highly optimised codes for large scale computing platforms while reducing development times by many orders of magnitude or enabling the possibility of the implementation of theories that are too complex for humans. The proposed code generation chain consists of three steps: an equation generator, a factorizer for optimal generation of intermediates, and the actual code generator producing host- and hardware-specific high-level code.
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国内基金
海外基金
Next Generation Majorana Nanowire Hybrids
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批准号:--
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项目类别:--
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资助金额:20万元
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批准年份:2020
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负责人:Panagiotis Kotetes
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依托单位: