Programming Languages for Data-Intensive HPC Applications: a Systematic Mapping Study

Vasco Amaral, Beatriz Norberto,Miguel Goulão,Marco Aldinucci,Siegfried Benkner,Andrea Bracciali,Paulo Carreira,Edgars Celms,Luís Correia,Clemens Grelck,Helen Karatza,Christoph Kessler,Peter Kilpatrick,Hugo Martiniano,Ilias Mavridis,Sabri Pllana,Ana Respício,José Simão,Luís Veiga,Ari Visa

Parallel Computing（2020）

引用 34|浏览98

暂无评分

摘要

A major challenge in modelling and simulation is the need to combine expertise in both software technologies and a given scientific domain. When High-Performance Computing (HPC) is required to solve a scientific problem, software development becomes a problematic issue. Considering the complexity of the software for HPC, it is useful to identify programming languages that can be used to alleviate this issue.

查看译文

关键词

High performance computing (HPC),Big data,Data-intensive applications,Programming languages,Domain-Specific language (DSL),General-Purpose language (GPL),Systematic mapping study (SMS)

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要