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Description

PacsLab research is experimental and multidisciplinary in nature. The emphasis is on methodologies and software tools for seamless, secure, scalable and fault-tolerant concurrent computing on heterogeneous networked computing platforms. Central to this effort is the notion of domain-oriented software support, with diverse application domains including particle-physics, combinatorial optimization and manufacturing systems. The parallel simulation of stochastic and time-stepped systems is a major component of this effort. The environments we target are heterogeneous networked platforms, including large scale, geographically distributed, collections of computers ranging from parallel processors and servers/supercomputers to (clusters of) workstations and specialized computing engines. We intend to develop enabling technologies and prototype frameworks for collaborative high-performance distributed computing and simulation that may be adapted and enhanced to deploy scalable and portable systems. We build upon our combined expertise in heterogeneous distributed processing and multithreaded fail-safe computing to provide enabling prototyping technologies for collaborative interactive systems.