470 citations · 1.3k across the 24 of their papers we have counts for
3 papers · 1 filter
Temporal State Machines: Using temporal memory to stitch time-based graph computations
Advait Madhavan, Matthew Daniels, Mark Stiles
Race logic, an arrival-time-coded logic family, has demonstrated energy and performance improvements for applications ranging from dynamic programming to machine learning. However,…
Temporal Memory with Magnetic Racetracks
Hamed Vakili, Mohammad Nazmus Sakib, Samiran Ganguly +5
Race logic is a relative timing code that represents information in a wavefront of digital edges on a set of wires in order to accelerate dynamic programming and machine learning a…
Memory-efficient training with streaming dimensionality reduction
Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels +2
The movement of large quantities of data during the training of a Deep Neural Network presents immense challenges for machine learning workloads. To minimize this overhead, especia…