The Effects of Communication Parameters on End Performance of Shared Virtual Memory Clusters

Recently there has been a lot of effort in providing cost-effective Shared Memory systems by employing software only solutions on clusters of high-end workstations coupled with high--bandwidth, low--latency commodity networks. Much of the work so far has focused on improving protocols, and there has been some work on restructuring applications to perform better on SVM systems. The result of this progress has been the promise for good performance on a range of applications at least in the 16--32 processor range. New system area networks and network interfaces provide significantly lower overhead, lower latency and higher bandwidth communication in clusters, inexpensive SMPs have become common as the nodes of these clusters, and SVM protocols are now quite mature. With this progress, it is now useful to examine what are the important system bottlenecks that stand in the way of effective parallel performance; in particular, which parameters of the communication architecture are most impor..