Physical Sciences and Mathematics Commons^™

Runtime And Language Support For Compiling Adaptive Irregular Programs On Distributed Memory Machines, Yuan-Shin Hwang, Bongki Moon, Shamik D. Sharma, Ravi Ponnusamy

Northeast Parallel Architecture Center

In many scientific applications, arrays containing data are indirectly indexed through indirection arrays. Such scientific applications are called irregular programs and are a distinct class of applications that require special techniques for parallelization. This paper presents a library called CHAOS, which helps users implement irregular programs on distributed-memory message-passing machines, such as the Paragon, Delta, CM-5 and SP-1. The CHAOS library provides efficient runtime primitives for distributing data and computation over processors; it supports efficient index translation mechanisms and provides users high-level mechanisms for optimizing communication. CHAOS subsumes the previous PARTI library and supports a larger class of applications. In …