Nowadays, Multiprocessor System-on-Chip (MPSoC) architectures are mainly focused on by manufacturers to provide increased concurrency, instead of increased clock speed, for embedded systems. However, managing concurrency is a tough task. Hence, one major issue is to synchronize concurrent accesses to shared memory. An important characteristic of any system design process is memory configuration and data flow management. Although, it is very important to select a correct memory configuration, it might be equally imperative to choreograph the data flow between various levels of memory in an optimal manner. Memory map is a multiprocessor simulator to choreograph data flow in individual caches of multiple processors and shared memory systems. This simulator allows user to specify cache reconfigurations and number of processors within the application program and evaluates cache miss and hit rate for each configuration phase taking into account reconfiguration costs. The code is open source and in java.
Statistics-based parallelization of XPath queries in shared memory systems