VEESC: Virtual Execution Environments for Scientific Computing Workshop

VEESC：科学计算虚拟执行环境研讨会

• 批准号: 1042905
• 负责人: Jan Vitek
• 金额: $ 4.68万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1042905&HistoricalAwards=false
• 关键词: VEESC; Virtual; Execution; Environments; Scientific

Computer programming languages play a central role in scientificproductivity. They are the interface between domain experts and themachine. The first generation of scientific languages were staticallycompiled computer programming languages such as Fortran, C and C++.Optimized for efficiency they stayed close to the hardware at the cost ofease of use. The languages of choice for scientists are increasinglydynamic ones like Perl, Python, R, Matlab, Mathematica, Maple, andJavaScript. Educational material in Bioinformatics, for example, includesmany textbooks for Perl, Python and R and none for C, C++ or Fortran. Butthe application of cutting-edge scientific methodology is limited by thecapabilities of the system in which it is implemented. While dynamiclanguages start out as glue for native libraries, with time, more and moreof the actual computations is expressed in those languages. But quicklyusers experience limitations of these languages: performance is not adequatefor compute intensive tasks, space overheads preclude manipulating largedatasets, and information security and reproducibility of results must beaddressed. This workshop explores the need for a Scientific Software Innovation Institute (S2I2) centered around Virtual Execution Infrastructures for Next Generation Scientific Programming Languages. There is a needto develop expertise and momentum to encourage development of open source high-performance implementations of productivity-oriented scientificprogramming languages. To this end, the VEESC workshop brings togetherexperts in virtual machines and compilers, designers and implementors ofhigh-level dynamic languages and related systems, and key representativesfrom end-user communities in the sciences.

计算机编程语言在科学生产力中发挥着核心作用。它们是领域专家和机器之间的接口。第一代科学语言是静态编译的计算机编程语言，如Fortran、C和C++。为了提高效率，它们以使用方便为代价，接近硬件。 科学家们选择的语言越来越多，像Perl，Python，R，Matlab，Mathematica，Maple和JavaScript。例如，生物信息学的教育材料包括许多Perl，Python和R的教科书，而没有C，C++或Fortran的教科书。但是，尖端科学方法论的应用受到其实施系统的能力的限制。 虽然动态语言一开始只是本地库的粘合剂，但随着时间的推移，越来越多的实际计算是用这些语言来表达的。 但很快用户就会体验到这些语言的局限性：性能不足以处理计算密集型任务，空间开销妨碍操作大型数据集，并且必须解决信息安全性和结果的可重复性。 本次研讨会探讨了科学软件创新研究所（S2I2）的需求，该研究所围绕下一代科学编程语言的虚拟执行架构。 有必要发展专门知识和动力，以鼓励开发面向生产力的科学编程语言的开源高性能实现。 为此，VEESC研讨会汇集了虚拟机和编译器的专家，高级动态语言和相关系统的设计者和实现者，以及科学领域最终用户社区的主要代表。