Sumit Jha, Ph.D.

Found 2 technologies involving researcher Sumit Jha, Ph.D.
The new invention analyzes real-world networks faster and with less energy

3D Crossbar Architecture for Fast, Efficient In-Memory Computing of Graph Transitive Closure

33694 – New architecture uses 3D memories to enable greater speed and energy-efficiency in parsing grammar for virtual assistants such as Amazon’s Echo “Alexa” and Google Home  UCF researchers have developed a novel in-memory computing architecture that enables computing systems to perform graph transitive closure problems more efficiently. The invention also requires less energy and is faster at... Read More

Illustration of a crossbar lattice with a plurality of memristors

New Method Evaluates Boolean Formulas Using Sneak Paths

33132 – In crossbar computing, sneak paths are transformed from computational challenges into first-class design elements Crossbar computing and, particularly, the evaluation of Boolean formulas, has been an active and ongoing research topic. Boolean-formula computation that uses memristor circuits has also been recently examined. Previous memristive Boolean-formula evaluation strategies have... Read More