Programming distributed memory architectures using Kali

TL;DR: The paper presents a new programming environment, Kali, which provides a global name space and allows direct access to remote data values and a system of annotations, allowing the user to control those aspects of the program critical to performance, such as data distribution and load balancing.

Abstract: Programming nonshared memory systems is more difficult than programming shared memory systems, in part because of the relatively low level of current programming environments for such machines. A new programming environment is presented, Kali, which provides a global name space and allows direct access to remote data values. In order to retain efficiency, Kali provides a system on annotations, allowing the user to control those aspects of the program critical to performance, such as data distribution and load balancing. The primitives and constructs provided by the language is described, and some of the issues raised in translating a Kali program for execution on distributed memory systems are also discussed.