A framework for exploiting object parallelism in distributed systems

To support parallel computing in a distributed object-based computing platform, a uniform high performance distributed object architecture layer is necessary. In this paper, we propose a distributed object-based framework called DoHPC to support parallel computing on distributed object architectures. We present the use of dependence analysis technique to exploit intra-object parallelism and an interoperability model for supporting distributed parallel objects. Experimental results on a Fujitsu AP3000 UltraSPARC workstation cluster computer show that with intra-object parallel computation speedup efficiency is greater than 90% and with overhead of less than 10% for large problems. In addition, the interoperability model improves speedup by 20%.