On-chip phase-change photonic memory and computing
The use of photonics in computing is a hot topic of interest, driven by the need for ever-increasing speed along with reduced power consumption. In existing computing architectures, photonic data storage would dramatically improve the performance by reducing latencies associated with electrical memo...
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| Format: | Conference item |
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Society of Photo-optical Instrumentation Engineers
2017
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| _version_ | 1797073749057470464 |
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| author | Cheng, Z Rios Ocampo, C Youngblood, N Wright, C Pernice, W Bhaskaran, H |
| author2 | Subramania, G |
| author_facet | Subramania, G Cheng, Z Rios Ocampo, C Youngblood, N Wright, C Pernice, W Bhaskaran, H |
| author_sort | Cheng, Z |
| collection | OXFORD |
| description | The use of photonics in computing is a hot topic of interest, driven by the need for ever-increasing speed along with reduced power consumption. In existing computing architectures, photonic data storage would dramatically improve the performance by reducing latencies associated with electrical memories. At the same time, the rise of ‘big data’ and ‘deep learning’ is driving the quest for non-von Neumann and brain-inspired computing paradigms. To succeed in both aspects, we have demonstrated non-volatile multi-level photonic memory avoiding the von Neumann bottleneck in the existing computing paradigm and a photonic synapse resembling the biological synapses for brain-inspired computing using phase-change materials (Ge2Sb2Te5). |
| first_indexed | 2024-03-06T23:26:29Z |
| format | Conference item |
| id | oxford-uuid:6a897414-b5eb-416f-9bf3-452877a6465c |
| institution | University of Oxford |
| last_indexed | 2024-03-06T23:26:29Z |
| publishDate | 2017 |
| publisher | Society of Photo-optical Instrumentation Engineers |
| record_format | dspace |
| spelling | oxford-uuid:6a897414-b5eb-416f-9bf3-452877a6465c2022-03-26T18:58:09ZOn-chip phase-change photonic memory and computingConference itemhttp://purl.org/coar/resource_type/c_5794uuid:6a897414-b5eb-416f-9bf3-452877a6465cSymplectic Elements at OxfordSociety of Photo-optical Instrumentation Engineers2017Cheng, ZRios Ocampo, CYoungblood, NWright, CPernice, WBhaskaran, HSubramania, GFoteinopoulou, SThe use of photonics in computing is a hot topic of interest, driven by the need for ever-increasing speed along with reduced power consumption. In existing computing architectures, photonic data storage would dramatically improve the performance by reducing latencies associated with electrical memories. At the same time, the rise of ‘big data’ and ‘deep learning’ is driving the quest for non-von Neumann and brain-inspired computing paradigms. To succeed in both aspects, we have demonstrated non-volatile multi-level photonic memory avoiding the von Neumann bottleneck in the existing computing paradigm and a photonic synapse resembling the biological synapses for brain-inspired computing using phase-change materials (Ge2Sb2Te5). |
| spellingShingle | Cheng, Z Rios Ocampo, C Youngblood, N Wright, C Pernice, W Bhaskaran, H On-chip phase-change photonic memory and computing |
| title | On-chip phase-change photonic memory and computing |
| title_full | On-chip phase-change photonic memory and computing |
| title_fullStr | On-chip phase-change photonic memory and computing |
| title_full_unstemmed | On-chip phase-change photonic memory and computing |
| title_short | On-chip phase-change photonic memory and computing |
| title_sort | on chip phase change photonic memory and computing |
| work_keys_str_mv | AT chengz onchipphasechangephotonicmemoryandcomputing AT riosocampoc onchipphasechangephotonicmemoryandcomputing AT youngbloodn onchipphasechangephotonicmemoryandcomputing AT wrightc onchipphasechangephotonicmemoryandcomputing AT pernicew onchipphasechangephotonicmemoryandcomputing AT bhaskaranh onchipphasechangephotonicmemoryandcomputing |