检索结果-内蒙古大学图书馆

parallel programming with pictures is a Snap!

JOURNAL OF parallel AND DISTRIBUTED COMPUTING 2017年 105卷 150-162页

作者： Feng, Annette Gardner, Mark Fenga, Wu-Chun Virginia Tech Dept Comp Sci Blacksburg VA 24061 USA Virginia Tech Dept Elect & Comp Engn Blacksburg VA USA Virginia Tech Adv Res Comp Off IT Blacksburg VA USA

For decades, computing speeds seemingly doubled every 24 months by increasing the processor clock speed, thus giving software a "free ride" to better performance. This free ride, however, effectively ended by the mid-2000s. With clock speeds having plateaued and computational horsepower instead increasing due to increasing the number of cores per processor, the vision for parallel computing, which started more than 40 years ago, is a revolution that has now (ubiquitously) arrived. In addition to traditional supercomputing clusters, parallel computing with multiple cores can be found in desktops, laptops, and even mobile smartphones. This ubiquitous parallelism in hardware presents a major challenge: the difficulty in easily extracting parallel performance via current software abstractions. Consequently, this paper presents an approach that reduces the learning curve to parallel programming by introducing such concepts into a visual (but currently sequential) programming language called Snap!, which was inspired by MIT's Scratch project. Furthermore, our proposed visual abstractions can automatically generate parallel code for the end user to run in parallel on a variety of platforms from personal computing devices to supercomputers. Ultimately, this work seeks to increase parallel programming literacy so that users, whether novice or experienced, may leverage a world of ubiquitous parallelism to enhance productivity in all walks of life, including the sciences, engineering, commerce, and liberal arts. (C) 2017 Elsevier Inc. All rights reserved.

关键词： Explicit parallel computing Computer science education Block-based programming Visual programming parallel computational patterns Pedagogical tools Programming environments Languages for PDC and HPC

来源：评论

学校读者我要写书评

暂无评论

Block-Based Programming Abstractions for Explicit parallel Computing

Block-Based Programming Abstractions for Explicit Parallel C...

引用

IEEE Blocks and Beyond Workshop (B&B)

作者： Feng, Annette Tilevich, Eli Feng, Wu-chun Virginia Tech Dept Comp Sci Blacksburg VA 24061 USA Virginia Tech Dept Elect & Comp Engn Blacksburg VA USA

ISBN: (纸本)9781467383677

With the majority of computing devices now featuring multiple computing cores, modern programmers need to be able to write programs that utilize these cores in parallel to extract the requisite levels of performance. Despite the need for such explicit parallel computing, few programmers are properly groomed in the mindset and the practices of parallel computing. Block-based programming languages, such as Scratch and Snapl, have proven to be a highly effective means of teaching fundamental programming concepts to a wide student audience. Nevertheless, the rich feature-set of mainstream block-based programming environments lack abstractions for explicit parallel programming, thus missing the opportunity to introduce this increasingly important programming concept at a time when the students' minds are most receptive. This paper reports on the results of an NSF-sponsored project for adding and integrating explicit programming abstractions, including producer-consumer, master-worker, and MapReduce, to block-based languages. We describe our reference implementation of adding the producer-consumer abstraction to Snap! and an educational project that utilizes this abstraction. This project clearly demonstrate the key features of parallel processing, without unduly burdening the programmer with the low-level details that this programming model typically entails. Our initial results show great potential in introducing the key concepts of parallel computing via block-based programming.

关键词： explicit parallel computing computer science education block-based programming visual programming parallel computational patterns

来源：评论

学校读者我要写书评

暂无评论

parallel Programming with Pictures in a Snap! 30

Parallel Programming with Pictures in a Snap!

引用

30th IEEE International parallel and Distributed Processing Symposium (IPDPS)

作者： Feng, Annette Feng, Wu-chun Virginia Tech Dept Comp Sci Blacksburg VA 24061 USA Virginia Tech Dept Elect & Comp Engn Blacksburg VA 24061 USA

ISBN: (纸本)9781509036820

For decades, computing speeds seemingly doubled every 24 months by increasing the clock speed and giving software a "free ride" to better performance. This free ride, however, effectively ended by the mid-to-late 2000s. With clock speeds having plateaued and computational horsepower instead increasing due to increasing the number of cores per processor, the vision for parallel computing, which started more than 40 years ago, is a revolution that has now (ubiquitously) arrived. In addition to traditional supercomputing clusters, parallel computing with multiple cores can be found in desktops, laptops, and even mobile smartphones. This ubiquitous parallelism in hardware presents at least two major challenges: (1) difficulty in easily extracting parallel performance via current software abstractions and (2) difficulty in delivering correctness - as even without parallelism, software defects already account for up to 40 percent of system failures. Consequently, this paper presents preliminary research that reduces the learning curve to parallel programming by introducing such concepts into a visual (but currently serial) programming language called Snap!. Furthermore, the proposed visual abstractions automatically generate parallel code for the end user so as to better ensure that the resulting (text-based) code is correct.

关键词： explicit parallel computing computer science education block-based programming visual programming parallel computational patterns

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：