SC22 Proceedings

The International Conference for High Performance Computing, Networking, Storage, and Analysis

Workshops Archive

Neuromorphic Computing for Scientific Applications


Workshop: RSDHA: Redefining Scalability for Diversely Heterogeneous Architectures

Authors: Robert Patton, Prasanna Date, Shruti Kulkarni, Chathika Gunaratne, Seung-Hwan Lim, Guojing Cong, Steven Young, Mark Coletti, and Thomas Potok (Oak Ridge National Laboratory (ORNL)) and Catherine Schuman (University of Tennessee)


Abstract: Neuromorphic computing technology continues to make strides in the development of new algorithms, devices, and materials. In addition, applications have begun to emerge where neuromorphic computing shows promising results. However, numerous barriers to further development and application remain. In this work, we identify several science areas where neuromorphic computing can either make an immediate impact (within 1 to 3 years) or the societal impact would be extremely high if the technological barriers can be addressed. We identify both opportunities and hurdles to the development of neuromorphic computing technology for these areas. Finally, we discuss future directions that need to be addressed to expand both the development and application of neuromorphic computing.





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