A General Purpose Neural Processor
| dc.contributor.advisor | Joshi, Anupam | |
| dc.contributor.advisor | Taha, Tarek | |
| dc.contributor.author | Mountain, David J. | |
| dc.contributor.department | Computer Science and Electrical Engineering | |
| dc.contributor.program | Engineering, Computer | |
| dc.date.accessioned | 2019-10-11T13:43:10Z | |
| dc.date.available | 2019-10-11T13:43:10Z | |
| dc.date.issued | 2017-01-01 | |
| dc.description.abstract | Computer applications are evolving from traditional scientific and numerical calculations, to a more diverse set of uses including speech recognition, robotics, and analytics. This has created a fertile environment for the investigation of non-traditional programming approaches and models of computing, inspired by neuroscience, often termed neuromorphic computing. Neural nets have emerged as one of the primary neuromorphic computing approaches; von Neumann architectures, conceived for scientific computing applications are not optimized for neural nets. This research focuses on developing a general purpose computer architecture optimized for neural net based applications. The architecture is useful for a variety of learning algorithms, and is evaluated across a spectrum of potential applications. Both traditional and emerging technologies are explored, with trade-offs being made based on the most important system level metrics. | |
| dc.genre | dissertations | |
| dc.identifier | doi:10.13016/m25rta-cd0c | |
| dc.identifier.other | 11604 | |
| dc.identifier.uri | http://hdl.handle.net/11603/15519 | |
| dc.language | en | |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
| dc.relation.ispartof | UMBC Theses and Dissertations Collection | |
| dc.relation.ispartof | UMBC Graduate School Collection | |
| dc.relation.ispartof | UMBC Student Collection | |
| dc.rights | This item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please see http://aok.lib.umbc.edu/specoll/repro.php or contact Special Collections at speccoll(at)umbc.edu | |
| dc.source | Original File Name: Mountain_umbc_0434D_11604.pdf | |
| dc.subject | Computer Architecture | |
| dc.subject | Cybersecurity | |
| dc.subject | Memristors | |
| dc.subject | Neural Nets | |
| dc.subject | Neuromorphic Computing | |
| dc.title | A General Purpose Neural Processor | |
| dc.type | Text | |
| dcterms.accessRights | Distribution Rights granted to UMBC by the author. |