The SDAARC architecture

Abstract

While traditional parallel computing systems are still struggling to gain a wider acceptance, the largest parallel computer that has ever been available is currently growing with the communication resource Internet. Unfortunately it is also rarely used in the parallel computation field. The reason for the rejection of parallel computers is mainly the difficulty of parallel programming. In this paper we propose the Self Distributing Associative ARChitecture (SDAARC). It has been derived from the Cache Only Memory Architecture (COMA). COMAs provide a distributed shared memory (DSM) with automatic distribution of data. We show how this paradigm of data distribution can be extended to the automatic distribution of instruction sequences (microthreads). We show how microthreads can be extracted from legacy C code to produce code that can automatically be parallelized by SDAARC at run time. We also discuss how SDAARC can be implemented on a rightly coupled multiprocessor systems on heterogenous LAN based computer networks (Intranet) and on WANs of computing resources.