Undergraduate Education and Research in Software and Algorithm Development for Massively Parallel Computers

本课题的重点是改进面向大规模并行计算机的软件开发本科教学。该课程将包括处理器、编程语言、并行算法、人工智能和数据结构之间的通信。由于大规模并行计算机与传统的顺序计算机有很大的不同，因此在学生职业生涯的早期引入大规模并行计算变得更加重要。获得了一个1024处理器的分布式阵列处理器，以支持大规模并行计算、并行语言结构、人工智能和计算物理并行算法的教学。这个项目意义重大，因为它侧重于早期向学生介绍大规模并行计算，这正在迅速成为计算技术的一个重要领域。

The focus of this project is to improve undergraduate teaching of software development for massively parallel computers. The instruction will include communication between processors, programming languages, parallel algorithms, artificial intelligence, and data structures. Since massively parallel computers are quite different from traditional sequential machines, it is becoming more important to introduce massively parallel computing early in students careers. A 1024-processor Distributed Array Processor was acquired to support the teaching of massively parallel computing, parallel language constructs, artificial intelligence, and parallel algorithms for computational physics. This project is significant because it focusses on the early introduction of students to massively parallel computation, which is rapidly becoming an important area of computing technology.