For successful decision making in disaster management it is necessary to have very accurate information about disaster phenomena and its potential developmentin time. Rainfall-runoff simulations are an integral part of flood warning and decision making processes. To increase their accuracy, it is crucial to periodically updatetheir parametersin a calibration process.Since calibration is very time consuming process an HPC facility is convenient tool for its speed-up. However, required speed-up can be achieved only avoiding any human-computer interaction in so-called automatic calibration.In order to compare possibilities and efficiency of the automatic calibration, three different fully automatic parallel implementationstrategies were created and tested with our in-house rainfall-runoff model.
This paper describes the first attempt of hardware implementation of Multistream Compression (MSC) algorithm. The algorithm is transformed to series of Finite State Machines with Datapath using Register-Transfer methodology. Those state machines are then implemented in VHDL to selected FPGA platform. The algorithm utilizes a special tree data structure, called MSC tree. For storage purpose of the MSC tree a Left Tree Representation is introduced. Due to parallelism, the algorithm uses multiple port access to SDRAM memory.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.