NSF Young Investigator: A Functional Data-Parallel Language for High Performance Computers

目前的研究一阶函数语言（NESL），通过一组数据并行结构的基础上向量提供并行性扩展到几个方向。 一个是通过科学应用算法测试语言。 另一个是在语言中添加多态类型。 还有一个是基于动态测试的惰性负载平衡的检查。 此外，在几个较新的高性能机器上进行了实施。

Current research on a first-order functional language (NESL) that supplies parallelism through a set of data-parallel constructs based on vectors is extended in several directions. One is the testing of the language via scientific applications algorithms. Another is the addition of polymorphic types to the language. Yet another is the examination of lazy load-balancing based upon dynamic testing. In addition, implementations on several newer high performance machines is carried out.