检索结果-内蒙古大学图书馆

3rd IEEE/ACM International Workshop on Interoperability of Supercomputing and Cloud Technologies (SuperCompCloud)

作者： Sokolowski, Daniel Lehr, Jan-Patrick Bischof, Christian Salvaneschi, Guido Tech Univ Darmstadt React Programming Technol Darmstadt Germany Tech Univ Darmstadt Sci Comp Darmstadt Germany Univ St Gallen Programming St Gallen Switzerland

ISBN: (纸本)9780738110554

The advent of cloud computing has enabled largescale availability of on-demand computing and storage resources. However, these benefits are not yet at the fingertips of HPC developers: Typical HPC applications use on-premise computing resources and rely on static deployment setups, reliable hardware, and rather homogeneous resources. This hinders (partial) execution in the cloud, even though applications could benefit from scaling beyond on-premise resources and from the variety of hardware available in the cloud to speed up execution. To address this issue, we orchestrate computationally intensive kernels using a high-level programming language that ensures advanced optimization and improves execution flexibility-enabling hybrid cloud/on-premise HPC deployments. Our approach is based on multitier reactive programming, where distributed code is defined within the same compilation unit and computations are placed explicitly using placement types. We adjust placement based on performance characteristics measured before execution, apply our approach to a shortest vector problem (SVP) solver from cryptanalysis, and evaluate it to be effective.

关键词： High Performance Computing Hybrid Cloud Computing multitier programming Reactive programming

来源：评论

学校读者我要写书评

暂无评论

Distributed System Development with SCALALOCI

引用

PROCEEDINGS OF THE ACM ON programming LANGUAGES-PACMPL 2018年第OOPSLA期2卷 1–30页

作者： Weisenburger, Pascal Koehler, Mirko Salvaneschi, Guido Tech Univ Darmstadt Hsch Str 10 D-64289 Darmstadt Hessen Germany

Distributed applications are traditionally developed as separate modules, often in different languages, which react to events, like user input, and in turn produce new events for the other modules. Separation into components requires time-consuming integration. Manual implementation of communication forces programmers to deal with low-level details. The combination of the two results in obscure distributed data flows scattered among multiple modules, hindering reasoning about the system as a whole. The SCALALOCI distributed programming language addresses these issues with a coherent model based on placement types that enables reasoning about distributed data flows, supporting multiple software architectures via dedicated language features and abstracting over low-level communication details and data conversions. As we show, SCALALOCI simplifies developing distributed systems, reduces error-prone communication code and favors early detection of bugs.

关键词： Distributed programming multitier programming Reactive programming Placement Types Scala

来源：评论

学校读者我要写书评

暂无评论

Type-Safe Dynamic Placement with First-Class Placed Values

引用

PROCEEDINGS OF THE ACM ON programming LANGUAGES-PACMPL 2023年第OOPSLA期7卷 2142–2170页

作者： Zakhour, George Weisenburger, Pascal Salvaneschi, Guido Univ St Gallen Torstr 25 CH-9000 St Gallen Switzerland

Several distributed programming language solutions have been proposed to reason about the placement of data, computations, and peers interaction. Such solutions include, among the others, multitier programming, choreographic programming and various approaches based on behavioral types. These methods statically ensure safety properties thanks to a complete knowledge about placement of data and computation at compile time. In distributed systems, however, dynamic placement of computation and data is crucial to enable performance optimizations, e.g., driven by data locality or in presence of a number of other constraints such as security and compliance regarding data storage location. Unfortunately, in existing programming languages, dynamic placement conflicts with static reasoning about distributed programs: the flexibility required by dynamic placement hinders statically tracking the location of data and computation. In this paper we present Dyno, a programming language that enables static reasoning about dynamic placement. Dyno features a type system where values are explicitly placed, but in contrast to existing approaches, placed values are also first class, ensuring that they can be passed around and referred to from other locations. Building on top of this mechanism, we provide a novel interpretation of dynamic placement as unions of placement types. We formalize type soundness, placement correctness (as part of type soundness) and architecture conformance. In case studies and benchmarks, our evaluation shows that Dyno enables static reasoning about programs even in presence of dynamic placement, ensuring type safety and placement correctness of programs at negligible performance cost. We reimplement an Android app with similar to 7 K LOC in Dyno, find a bug in the existing implementation, and show that the app's approach is representative of a common way to implement dynamic placement found in over 100 apps in a large open-source app store.

关键词： Distributed programming multitier programming Placement Types Scala Dynamic Placement Union Types

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：