Princeton Application Repository for Shared-Memory Computers
Princeton Application Repository for Shared-Memory Computers (PARSEC) is a benchmark suite composed of multithreaded emerging workloads that is used to evaluate and develop next-generation chip-multiprocessors. It was collaboratively created by Intel and Princeton University to drive research efforts on future computer systems. Since its inception the benchmark suite has become a community project that is continued to be improved by a broad range of research institutions. PARSEC is freely available and is used for both academic and non-academic research. Motivation. With the emergence of chip-multiprocessors computer manufacturers were  faced with a problem: The new technology caused a disruptive change. For the first time in computer history software would have to be rewritten in order to take advantage of the parallel nature of those processors, which means that existing programs could not be used effectively to test and develop those new types of computer systems. At that time parallel software only existed in very specialized areas. However, before chip-multiprocessors became commonly available software developers were not willing to rewrite any mainstream programs, which means hardware manufacturers did not have access to any programs for test and development purposes  that represented the expected real-world program behavior accurately. This posed a hen-and-egg problem that motivated a new type of benchmark suite with parallel programs that could take full advantage of chip-multiprocessors. PARSEC was created to break this circular dependency. It was designed to fulfill the following five objectives: Traditional benchmarks that were publicly available before PARSEC were generally limited in their scope of included application domains or typically only available in an unparallelized, serial version. Parallel programs were only prevalent in the domain of High-Performance Computing and on a much smaller scale in business environments . Chip-multiprocessors however were expected to be heavily used in all areas of computing such as with parallelized consumer applications. Workloads. The PARSEC Benchmark Suite is available in version 2.1, which includes the following workloads: