Mr. Jim Withrow has extensive experience in all areas of solid processing, including handling, drying, crystallization and solid-liquid separation, having worked in this area with Union Carbide for more than 25 years. He provided design, testing and consulting services to all divisions of the company, specializing in solid-liquid separation and solid-handling systems. He served as supervisor of the Solid Processing Technology Laboratories to provide testing services in support of the solid-liquid separation and solid-handling areas. He also performed and supervised performance of laboratory and/or pilot-scale tests to obtain scale-up data to size filters and centrifuges for production facilities.
MATRIC is using ‘big data’ computing to help the Department of Energy’s (DOE) National Energy Technology Laboratory (NETL) to perform or enhance data mining, analysis, simulation and modeling of high volume, velocity, and variety of spatial and non-spatial data. Big data computing is a combination of hardware (computing clusters) and software technologies (Hadoop, Spark, MapReduce) that make it possible to realize value from “Big Datasets” that are too large for a single computer to process. Big data computing shares similarities with high performance computing in that both approaches utilize clusters of computers (cloud or locally hosted) to distribute and accomplish complex tasks. However, big data computing is specifically designed to process and analyze larger scale datasets.