Center for Resilient Infrastructures, Systems, and Processes (CRISP) Saurabh Bagchi, Milind Kulkarni, Jitesh Panchal, Felix Lin, Srinivas Peeta, Gesualdo Scutari https://www.purdue.edu/crisp

Focus Area: Resilient and Adaptive Cyberinfrastructures Focus Area: Resilient and Adaptive Cyberinfrastructures Faculty Lead: Milind Kulkarni; Participating faculty: Saurabh Bagchi, Gesualdo Scutari, Jitesh Panchal As software and systems scale, and get deployed to large-scale, uncertain infrastructure, it is increasingly important to develop resilient and adaptive cyberinfrastructure: Bugs that arise in applications run on large inputs at large scales are hard to detect and diagnose. Scalability bottlenecks prevent applications from smoothly scaling up to larger inputs and systems As hardware gets more complex, heterogeneous, and unreliable, applications need to be able to migrate between systems and adapt from one type or hardware to another Key insights to build resilient and adaptive infrastructure: Build models of application behavior that scale up to large inputs and large systems to detect and diagnose bugs Develop compiler transformations, optimizations and runtime systems to allow applications to map effectively to multiple hardware platforms Examples: Novel scaling models of application behavior allow bugs in large scale systems to be developed based on models efficiently built at small scales New compiler transformations have shown how same parallel application can be mapped to multicores, Xeon Phis, and SIMD units. Current Operational Capability: Unique capabilities demonstrated First bug-detection tools that can detect scaling bugs without modeling large-scale behavior (HPDC 2011, 2013) First programming model for elastic cloud programs that automatically scale up and down at runtime based on available resources (HPDC 2011, SoCC 2013) First local alignment tool that exploits query fragmentation to break scaling bottleneck in BLAST (Supercomputing 2014) Collaborative capabilities Milind and Saurabh on debugging large-scale systems Felix and Saurabh on execution in heterogeneous computing systems