ITR/NGS: A Software Infrastructure for Computational Biology and Physics

STAPL(标准模板自适应并行库)是一个ISO标准C++组件库，其接口类似于(顺序)ISO C++标准库，并已通过共享内存原型获得了令人鼓舞的结果。这个项目将在它可以支持的系统范围(特别是没有共享内存的系统)、执行的优化范围以及程序自动适应其运行时环境和工作负载的程度上极大地扩展该库。该项目将扩展STAPL库，重新设计STAPL运行时系统，并构建编译器以实现高级(源代码级别)优化，并生成运行时系统用于自适应算法和低级优化所需的信息和代码。因此，STAPL将成为高度可优化、可适应和可移植的并行计算框架。除了通常的基于向量的操作之外，它还将支持不那么规则的结构(如列表和稀疏矩阵)的并行使用，并简化程序从串行环境到并行环境的演变。重要的是，这将以利用对主流编程环境和工具的巨大投资的方式来完成，并使STAPL的并行计算设施对主流程序员来说是可访问的。

STAPL (the Standard Template Adaptive Parallel Library) is a library of ISO Standard C++ components with interfaces similar to the (sequential) ISO C++ standard library, and encouraging results have been obtained with a shared memory prototype. This project will extend this library significantly in the range of systems it can support (notably systems without shared memory), the range of optimization performed, and the degree to which a program is automaticall y adapted to its run-time environment and workload. The project will extend the STAPL library, redesign the STAPL run-time system, and build a compiler to allow high-level (source-level) optimizations and to generate information and code needed by the run-time system for adaptive algorithms and lower-level optimizations. Thus, STAPL will be a framework for highly-optimizable, adaptable, and portable parallel computations. In addition to the usual vector-based operations, it will support parallel use of less regular structures (such as lists and sparse matrices) and ease the evolution of programs from a serial to a parallel environment. Importantly, this will be done in ways that take advantage of the huge investment in mainstream programming environments and tools and make STAPL's parallel computation facilities accessible to mainstream programmers.