Entrans · Energy Efficient Transprecision Techniques for Linear Solver
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2018-06-01 → 2020-05-31
- Финансиране от ЕС
- 183 455 €
- Участници
- 1
- Схема
- MSCA-IF-EF-ST
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Накратко на български
Методите за изчисления с променлива точност оптимизират броя на използваните битове според нуждите на конкретната задача. Това помага за повишаване на скоростта на работа и пестене на енергия в мобилни телефони, спътници и суперкомпютри.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Energy Efficient Transprecision Techniques for Linear Solver
All computations that use floating-point arithmetic are built on the fundamental assumption that the computation is meaningful when employing only a limited precision. The required precision typically varies throughout the computation and depends on the actual represented values. Many computations use too many bits of precision, which reduces performance and increases energy consumption. The Entrans project aims to utilize the optimal precision during a computation without loss of accuracy, which will result in higher execution speed and lower energy consumption. This idea, dubbed transprecision computing, requires novel results in numerical analysis and runtime decision making to adapt the precision of a computation on the fly. The results from this project will benefit society by extending battery life of mobile phones; by saving energy for satellite navigation systems or by enhancing scalability of numerical simulations performed in high-performance computing facilities.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
All computations that use floating-point arithmetic are built on the fundamental assumption that the computation is meaningful when employing only a limited precision. The required precision typically varies throughout the computation and depends on the actual represented values. Many computations use too many bits of precision, which reduces performance and increases energy consumption. The Entrans project aims to utilize the optimal precision during a computation without loss of accuracy, which will result in higher execution speed and lower energy consumption. This idea, dubbed transprecision computing, requires novel results in numerical analysis and runtime decision making to adapt the precision of a computation on the fly.The Fellow, JunKyu Lee, is an expert in numerical analysis and will collaborate with the research group of Dr Hans Vandierendonck at Queen’s University Belfast, who are experts in high-performance and parallel computing. The Fellow will collaborate with experts in runtime systems software and with experts in computer architecture. This unique collaboration and combination of skill sets is crucial to embed dynamic, runtime behavior in numerical algorithms.This ambitious research project, in conjunction with formal training and bespoke mentoring will enhance the Fellow’s academic profile, research experience, and breadth of skill set in numerical analysis and high-performance computing. Providing fundamental insights in the runtime variation of precision requirements of numerical algorithms will improve their execution speed and energy-efficiency, but will also lay the foundation for the development of novel algorithms.
Оригинален текст от CORDIS (на английски).
Участници
- THE QUEEN'S UNIVERSITY OF BELFAST · BELFASTКоординаторОбединеното кралство
Връзки
Данни: CORDIS, © Европейски съюз