Research on multiprocessor interconnection networks has primarily focused o
n wormhole switching, virtual channel flow control, and routing algorithms
to enhance their performance. The rationale behind this research is that by
alleviating the network latency for high network loads, the overall system
performance would improve. Many studies have used synthetic workloads to s
upport this claim. However, such workloads may not necessarily capture the
behavior of real applications. In this paper, we have used parallel applica
tions for a closer examination of the network behavior. In particular, the
performance benefit from enhancing a 2D mesh with virtual channels (VCs) an
d a fully adaptive routing algorithm is examined with a set of shared-memor
y and message passing applications. Execution time and average message late
ncy of shared memory applications are measured using execution-driven simul
ation and by varying many architectural attributes that affect the network
workload. The communication traces of message passing applications, collect
ed on an IBM-SP2, are used to run a trace-driven simulation of the mesh arc
hitecture to obtain message latency. Simulation results show that VCs and a
daptive routing can reduce the network latency to varying degrees depending
on the application. However, these modest benefits do not translate to sig
nificant improvements in the overall execution time because the load on the
network is not high enough to exploit the advantages of the network enhanc
ements. Moreover, this benefit may be negated if the architectural enhancem
ents increase the network cycle time. Rather, emphasis should be placed on
improving the raw network bandwidth and faster network interfaces.