We have been developing a Grid-enabled MPI communication library called GridMPI, which is designed to run on multiple clusters connected to a wide-area network. Some of these clusters may use private IP addresses. Therefore, some mechanism to enable communication between private IP address clusters is required. Such a mechanism should be widely adoptable, and should provide high communication performance. In this paper, we propose a message relay mechanism to support private IP address clusters in the manner of the Interoperable MPI (IMPI) standard. Therefore, any MPI implementations which follow the IMPI standard can communicate with the relay. Furthermore, we also propose a trunking method in which multiple pairs of relay nodes simultaneously communicate between clusters to improve the available communication bandwidth. While the relay mechanism introduces an one-way latency of about 25 musec, the extra overhead is negligible, since the communication latency through a wide area network is a few hundred times as large as this. By using trunking, the inter-cluster communication bandwidth can improve as the number of trunks increases. We confirmed the effectiveness of the proposed method by experiments using a 10 Gbps emulated WAN environment. When relay nodes with 1 Gbps NICs are used, the performance of most of the NAS Parallel Benchmarks improved proportional to the number of trunks. Especially, using 8 trunks, FT and IS are 4.4 and 3.4 times faster, respectively, compared with the single trunk case. The results showed that the proposed method is effective for running MPI programs over high bandwidth-delay product networks.

A real storage management algorithm called Adaptive Control of Page-frame Supply (ACPS) is described. ACPS employees three strategies: prediction of the demand for real page frames, page replacement based on the prediction, and working set control. Together, these strategies constitute the real page frame allocation method, and contribute to short and stable response times in conversational processing environments.