PROCESSOR SWARM


semiconductor and neuromorphic char- acteristics at the nanoscale.


In addition to continuous innovations in scalable algorithms and software, future computing architectures like quantum networks, data flow computing, and cyber- and electromagnetic-secured het- erogeneous processors are going to play a role in overcoming distributed process- ing shortcomings that surface in military scenarios.


DISTRIBUTED PROJECTS FOR DISTRIBUTED RESEARCH ARL is working toward the capabilities of the next generation of distributed processing, in collaborative projects with academic institutions and industry and in internal programs.


External collaborative programs that address challenges with distributed processing from algorithms and theory include the international technology alli- ance with the United Kingdom Ministry of Defense,


the internet of battlefield


things, distributed and collaborative intelligent systems and technology, the U.S. Army High Performance Com- puting Research Center, the Center for Distributed Quantum Information and ARL’s Single-Investigator Program,


executed through the Army Research Office.


Tere are also internal projects that lay some of the foundation. For example, we work with IBM, Purdue University and the Lawrence Livermore National Laboratory in understanding the pro- gramming and use of neuromorphic processors—brain-inspired computing. Tese neuromorphic processors have proven quite adept at machine-learning tasks, yet consume 1,000 times less power than conventional processors.


CONCLUSION Te Army has been at the forefront of computing and distributed processing and continues to make investments in related research to shape how the future Army will fight and win. Te complexi- ties of distributed processing become more clear as the way in which humans will engage with distributed artificially intelligent systems becomes more defined.


Te reliance of intelligent systems on wireless communication and networked processes makes them vulnerable to cyber, physical and electronic attacks. Tus, it is necessary to develop technolo- gies that mitigate those risks and keep systems functional in the face of such


attacks. In the current and future world, this requires innovations in distributed processing and computation on and off the battlefield.


For more information, contact the authors at


raju.r.namburu.civ@mail.mil or joseph.m.barton12.ctr@mail.mil.


DR. RAJU NAMBURU is chief of the Computational Sciences Division at ARL. He has more than 100 publications in various journals and refereed papers in international conferences and symposiums in the areas of computational sciences, computational mechanics, scalable algorithms, network modeling and high- performance computing. He is a Fellow of


the American Society of Mechanical


Engineers and a member of the U.S. Association for Computational Mechanics. He holds a Ph.D. in mechanical engineering from the University of Minnesota, and received master of engineering and bachelor of engineering degrees in mechanical engineering from Andhra University in India.


First realized around 1983 at Aberdeen Proving Ground, distributed processing has evolved over the last several decades as information technology has expanded exponentially.


134 Army AL&T Magazine January-March 2018


DR. MICHAEL BARTON, a senior sci- entist for Parsons Corp., provides contract support to ARL. He has been at APG since 2001. His entire career has been in physics-based modeling and simulation and high-performance computing. He previ- ously served as a consultant in the aerospace industry; as a contractor supporting the Air Force at Arnold Air Force Base, Ten- nessee, and NASA in Ohio; and with the Boeing Co. in Seattle. He received his Ph.D. and his B.S. in engineering science and mechanics from the University of Tennessee, Knoxville, and his master of engineering degree in aeronautics and astronautics from the University of Washington.


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