An Analysis Process Execution Language and Execution Engine for High Energy Physics

76276-The particle physics communities, working on the CERN Large Hadron Collider (LHC) Project2, are building infrastructures to support the processing of distributed datasets that require Petascale computing resources (>1015 bytes, and >1015 flops). This project will contribute to this endeavor by developing a formal process language and associated process execution environment targeted specifically at the high energy data analysis processes employed in the Grid computing environment. The approach would incorporate the following high-level features: a ¿lightweight¿ algebraic process language, an execution engine, transparent state management and recovery, integration with Grid infrastructure, and resource abstraction. Phase I will: (1) document an executable language for Grid-based high energy data analysis processes, containing a description of the syntax and semantics of the proposed process language; and (2) prototype a Grid-based execution engine for high energy data analysis processes, providing for execution of data analysis processes on a Globus Grid. Commercial Applications and Other Benefits as described by the awardee: A system that improves clarity of expression in research areas with large data sets should be of interest in such fields as engineering, biotechnology, pharmaceuticals, and epidemiology.