Automated GPU support in LuNA fragmented programming system

Belyaev Nikolay, Vladislav Perepelkin

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

The paper is devoted to the problem of reduction of complexity of development of numerical parallel programs for distributed memory computers with hybrid (CPU+GPU) computing nodes. The basic idea is to employ a high-level representation of an application algorithm to allow its automated execution on multicomputers with hybrid nodes without a programmer having to do low-level programming. LuNA is a programming system for numerical algorithms, which implements the idea, but only for CPU. In the paper we propose a LuNA language extension, as well as necessary run-time algorithms to support GPU utilization. For that a user only has to provide a limited number of computational GPU procedures using CUDA, while the system will take care of such associated low-level problems, as jobs scheduling, CPU-GPU data transfer, network communications and others. The algorithms developed and implemented take advantage of concerning informational dependencies of an application and support automated tuning to available hardware configuration and application input data.

Язык оригиналаанглийский
Название основной публикацииParallel Computing Technologies - 14th International Conference, PaCT 2017, Proceedings
Редакторы Malyshkin
ИздательSpringer-Verlag GmbH and Co. KG
Страницы272-277
Число страниц6
Том10421 LNCS
ISBN (печатное издание)9783319629315
DOI
СостояниеОпубликовано - 1 янв 2017
Событие14th International Conference on Parallel Computing Technologies, PaCT 2017 - Nizhny Novgorod, Российская Федерация
Продолжительность: 4 сен 20178 сен 2017

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том10421 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

Конференция

Конференция14th International Conference on Parallel Computing Technologies, PaCT 2017
СтранаРоссийская Федерация
ГородNizhny Novgorod
Период04.09.201708.09.2017

Fingerprint Подробные сведения о темах исследования «Automated GPU support in LuNA fragmented programming system». Вместе они формируют уникальный семантический отпечаток (fingerprint).

Цитировать