Gast ::
| Hauptseite > Publikationsdatenbank > Differentiable Content Addressable Memory with Memristors > print |
| Hauptseite > Publikationsdatenbank > Differentiable Content Addressable Memory with Memristors > print |
| 001 | 906936 | ||
| 005 | 20230328130144.0 | ||
| 024 | 7 | _ | |a 10.1002/aelm.202101198 |2 doi |
| 024 | 7 | _ | |a 2128/33995 |2 Handle |
| 024 | 7 | _ | |a WOS:000762807700001 |2 WOS |
| 037 | _ | _ | |a FZJ-2022-01761 |
| 082 | _ | _ | |a 621.3 |
| 100 | 1 | _ | |a Pedretti, Giacomo |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a Differentiable Content Addressable Memory with Memristors |
| 260 | _ | _ | |a Weinheim |c 2022 |b Wiley-VCH Verlag GmbH & Co. KG |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1677491013_26873 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Memristors, Flash, and related nonvolatile analog device technologies offer in-memory computing structures operating in the analog domain, such as accelerating linear matrix operations in array structures. These take advantage of analog tunability and large dynamic range. At the other side, content addressable memories (CAM) are fast digital lookup tables which effectively perform nonlinear Boolean logic and return a digital match/mismatch value. Recently, nonvolatile analog CAMs have been presented merging analog storage and analog search operations with digital match/mismatch output. However, CAM blocks cannot easily be inserted within a larger adaptive system due to the challenges of training and learning with binary outputs. Here, a missing link between analog crossbar arrays and CAMs, namely a differentiable content addressable memory (dCAM), is presented. Utilizing nonvolatile memories that act as a “soft” memory with analog outputs, dCAM enables learning and fine-tuning of the memory operation and performance. Four applications are quantitatively evaluated to highlight the capabilities: improved data pattern storage, improved robustness to noise and variability, reduced energy and latency performance, and an application to solving Boolean satisfiability optimization problems. The use of dCAM is envisioned as a core building block of fully differentiable computing systems employing multiple types of analog compute operations and memories. |
| 536 | _ | _ | |a 5234 - Emerging NC Architectures (POF4-523) |0 G:(DE-HGF)POF4-5234 |c POF4-523 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
| 700 | 1 | _ | |a Graves, Catherine E. |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Van Vaerenbergh, Thomas |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Serebryakov, Sergey |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Foltin, Martin |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Sheng, Xia |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Mao, Ruibin |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Li, Can |0 P:(DE-HGF)0 |b 7 |
| 700 | 1 | _ | |a Strachan, John Paul |0 P:(DE-Juel1)188145 |b 8 |e Corresponding author |
| 773 | _ | _ | |a 10.1002/aelm.202101198 |g p. 2101198 - |0 PERI:(DE-600)2810904-1 |n 8 |p 2101198 - |t Advanced electronic materials |v 8 |y 2022 |x 2199-160X |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/906936/files/Adv%20Elect%20Materials%20-%202022%20-%20Pedretti%20-%20Differentiable%20Content%20Addressable%20Memory%20with%20Memristors.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:906936 |p openaire |p open_access |p OpenAPC_DEAL |p driver |p VDB |p openCost |p dnbdelivery |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 8 |6 P:(DE-Juel1)188145 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-523 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Neuromorphic Computing and Network Dynamics |9 G:(DE-HGF)POF4-5234 |x 0 |
| 914 | 1 | _ | |y 2022 |
| 915 | p | c | |a APC keys set |0 PC:(DE-HGF)0000 |2 APC |
| 915 | p | c | |a Local Funding |0 PC:(DE-HGF)0001 |2 APC |
| 915 | p | c | |a DFG OA Publikationskosten |0 PC:(DE-HGF)0002 |2 APC |
| 915 | p | c | |a DEAL: Wiley 2019 |0 PC:(DE-HGF)0120 |2 APC |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2021-01-28 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2021-01-28 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b ADV ELECTRON MATER : 2019 |d 2021-01-28 |
| 915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b ADV ELECTRON MATER : 2019 |d 2021-01-28 |
| 915 | _ | _ | |a DEAL Wiley |0 StatID:(DE-HGF)3001 |2 StatID |d 2021-01-28 |w ger |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2021-01-28 |
| 915 | _ | _ | |a Creative Commons Attribution-NonCommercial CC BY-NC 4.0 |0 LIC:(DE-HGF)CCBYNC4 |2 HGFVOC |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2021-01-28 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1150 |2 StatID |b Current Contents - Physical, Chemical and Earth Sciences |d 2021-01-28 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2021-01-28 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2021-01-28 |
| 920 | 1 | _ | |0 I:(DE-Juel1)PGI-14-20210412 |k PGI-14 |l Neuromorphic Compute Nodes |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)PGI-14-20210412 |
| 980 | _ | _ | |a APC |
| 980 | 1 | _ | |a APC |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|