Processor in Memory Cortical Extensions

Abstract: The goal of this project is to build a general and scalable engine for the acceleration of a range of machine learning and cortically inspired algorithms, including parallel deep convolutional networks, Long Short Term Memory (LSTM), Cogent Confabulation, Hierarchical Temporal Memory (HTM), Sparsey, and a spiking neuron model, Liquid State Machines. A key aspect of this the development of Processor In Memory (PiM) solutions that leverage high bandwidth 3D memories (Figure 1).

4819 Emperor Blvd, Suite 300 Durham, NC 27703 Voice: (919) 941-9400 Fax: (919) 941-9450

Important Information for the SRC website. This site uses cookies to store information on your computer. By continuing to use our site, you consent to our cookies. If you are not happy with the use of these cookies, please review our Cookie Policy to learn how they can be disabled. By disabling cookies, some features of the site will not work.