Research Initiation Award: Virtual Memory for Data-Parallel Computing

该项目利用先进的技术实现了一个用于数据并行计算的虚拟存储器系统 在并行磁盘系统的算法中。 这样的系统将有利于在许多科学和其他应用领域的并行计算，使它更简单，更快地运行代码的对象是几个千兆字节甚至更大。 通常，当应用程序的内存需求超过并行机上可用的随机存取内存时，程序员将其数据保存在并行磁盘系统上，并在其源代码中执行磁盘访问。 由此产生的代码很难开发，而且运行速度往往很慢。 拟议的系统将有助于避免与此类大型问题相关的额外软件开发时间和复杂性。 此外，由于该系统采用了规划并行磁盘访问算法的最新进展，因此运行效率更高。 该项目需要在虚拟内存环境中设计和实现一组适当的原始数据并行操作。 该实现可以包括进一步开发用于并行磁盘系统的有效算法。 此外，该项目还包括开发一个或多个编译器，将Fortran和C等语言编译成这些原语。

The project implements a virtual-memory system for data-parallel computing by taking advantage of the technical advances in algorithms for parallel disk systems. Such a system will benefit parallel computing in many scientific and other application areas by making it simpler and faster to run code on objects that are several gigabytes or even larger. Typically, when the memory requirements of an application exceed the available random-access memory on parallel machines, programmers keep their data on a parallel disk system and perform disk accesses in their source code. The resulting codes are difficult to develop and often run slowly. The proposed system will help avoid the additional software development time and complexity associated with such large problems. Moreover, because the system employs recent advances in algorithms for planning parallel disk accesses, it runs more efficiently. The project entails the design and implementation of an appropriate set of primitive data-parallel operations in a virtual-memory context. The implementation may include further development of efficient algorithms for parallel disk systems. In addition, the project includes the development of one or more compilers that compile languages such as Fortran and C into these primitives.