Design Space Exploration for YOLO Neural Network Accelerator

Design Space Exploration of Network Processor Architectures

We describe an approach to explore the design space for architectures of packet processing devices on the system level. Our method is specific to the application domain of packet processors and is based on (1) models for packet processing tasks, a specification of the workload generated by traffic streams, and a description of the feasible space of architectures including computation and commun...

Neural Network Exploration Using Optimal Experiment Design

I consider the question "How should one act when the only goal is to learn as much as possible?". Building on the theoretical results of Fedorov (1972, Theory of Optimal Experiments, Academic Press) and MacKay (1992, Neural Computation, 4, 590-604), I apply techniques from optimal experiment design (OED) to guide the query/action selection of a neural network learner. I demonstrate that these t...

Design Space Exploration for Energy-Efficient Secure Sensor Network

We consider two of the most important design issues for distributed sensor networks in the battlefield: security for communication in such hostile terrain; and energy efficiency because of battery’s limited capacity and the impracticality of recharging. Communication security is normally provided by encryption, i.e., data are encrypted before transmission and will be decrypted first on receptio...

Propagating Magnetic Wave Plasma Accelerator (PMWAC) for Deep Space Exploration

A neural network accelerator for image analysis