Orca Project Postdoc

该奖项旨在支持从事实验计算机科学工作的博士后助理。卡尔文·p·林（Calvin P. Lin）将与劳伦斯·斯奈德（Lawrence Snyder）博士合作开发便携式并行程序。研究将集中在三个领域：并行语言、并行算法和便携式科学应用。将基于阶段抽象编程模型开发两种并行语言。这个模型已经被证明可以为共享和分布式内存体系结构生成可移植的并行程序。此外，重要的科学算法，如快速傅立叶变换，将被研究以确定“选择算法”，这是一种在大多数架构上最优且在所有架构上具有竞争力的算法。最后，工作将继续发展便携式科学代码集中在一个大的分子动力学程序。

This award is to support a postdoctoral associate to work in experimental computer science. The associate, Calvin P. Lin, will work with Dr. Lawrence Snyder on portable parallel programs. The research will concentrate on three areas: parallel languages, parallel algorithms, and portable scientific applications. Two parallel languages will be developed based on the Phase Abstractions programming model. This model has already been shown to produce portable parallel programs for both shared and distributed memory architectures. Additionally, important scientific algorithms, such as the Fast Fourier Transform, will be studied to identify the "algorithm of choice", an algorithm that is optimal on most architectures and competitive on all. Finally, work will continue on the development of portable scientific codes concentrating on a large molecular dynamics program.