Next in Reversible Computing: Breaking the Memory-Computation Asymmetry
Abstract
A more comprehensive and practical treatment of memory remains to be performed in visiting and answering memory-related unknowns. Some of the answers could have profound impact on classical memory technologies. Reversible execution restores symmetry between memory and computation, correctly reinstating the memory state restoration cost in the aggregate memory cost.
Kalyan Perumalla
As a Federal Program Manager in Advanced Scientific Computing Research at the U.S. Dept. of Energy, Office of Science, Kalyan Perumalla manages a $100-million R&D portfolio covering AI, HPC, Quantum, SciDAC, and Basic Computer Science. In his 25-year R&D leadership experience, he previously led advanced R&D as Distinguished Research Staff Member at the Oak Ridge National Laboratory (ORNL) developing scalable software and applications on the world’s largest supercomputers for 17 years, including as a line manager and a founding group leader. He has held senior faculty and adjunct appointments at UTK, GT, and UNL, and was an IAS Fellow at Durham University.