RATIONALE FOR COMPACT APPLICATION BENCHMARKS
While the PARKBENCH
provide a fairly straightforward way of assessing the performance of a parallel
system, they are not representative of scientific applications in general
since they do not reflect certain types of system behavior. In particular,
many scientific applications involve data movement between phases of
an application, and may also require significant amounts of I/O. These types
of behavior are difficult to gauge using kernel applications.
that has hindered the use of full application codes for benchmarking parallel
computers in the past is that such codes are difficult to parallelize and to
port between target architectures. In addition, full application codes that
have been successfully parallelized are often proprietary, and/or subject
to distribution restrictions. To minimize the negative impact of these factors
compact applications are made use of in the PARKBENCH benchmarking effort.
PARKBENCH compact applications page
Last Modified May 14, 1996