Dorian Arnold is an associate professor of Computer Science at Emory University. His research interests include operating and distributed systems, fault-tolerance, online (streaming) data analysis and high-performance tools. Particularly, he is interested in the scalability and reliability issues that abound in extreme scale computing environments comprising hundreds of thousands or even millions of components.
Professor Arnold's research group maintains strong collaborations with leading U.S. national labs and universities, including the Lawrence Livermore, Los Alamos and Sandia National Labs. In part due to such collaborations with world-class scientists and opportunities to work on cutting edge computing platforms, Professor Arnold's research projects have won Top 100 R&D awards in 1999 and 2011. In 2017, he was selected as an ACM Distinguished Speaker.
Arnold has held many leadership roles in major HPC conferences. Among other roles, he currently serves on the steering committee for the SC Conference (sponsored by the ACM) and as an Associate Editor of the IEEE Transactions on Parallel and Distributed Systems. He is also very committed to diversity and inclusion in computer science, and served as General Chair for the 2017 ACM Richard Tapia Celebration of Diversity.
Arnold received Ph.D. and M.S. degrees in Computer Science from the Universities of Wisconsin and Tennessee, respectively. He also received his B.S. in Math and Computer Science from Regis University (Denver, CO) and his A.S. in Physics, Chemistry and Math from St. John's Junior College (Belize).
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The SMURFS Project: Simulation and Modeling for Understanding Resilience and Faults at Scale
Current HPC research explorations target computer systems with exaflop (10^18 or a quintillion floating point operations per second) capabilities. Such computational power will...
Scalable Middleware and Tools for High-Performance Computing
In the pursuit of unprecedented high-performance computing (HPC) capabilities, and the scientific and economic advances such capabilities will bring, U.S., Asian, European and...
A Non-checkpoint/restart, Non-algorithm-specific Approach to Fault-tolerance
Hierarchical or tree-based overlay networks (TBONs) are often used to execute data aggregation operations in a scalable, piecewise fashion. We present state compensation, a scalable failure recovery...
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