LAS-NCS: A Laser-Assisted Spintronic Neuromorphic Computing System
In spintronic-based neuromorphic computing systems (NCSs), the switching of magnetic moment in a magnetic tunnel junction (MTJ) is used to mimic biological neuron firing. However, the high currents required for MTJ switching will lead to a large energy consumption and low speed operation of the MTJ-...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2019-05, Vol.66 (5), p.838-842 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 842 |
|---|---|
| container_issue | 5 |
| container_start_page | 838 |
| container_title | IEEE transactions on circuits and systems. II, Express briefs |
| container_volume | 66 |
| creator | Farkhani, Hooman Prejbeanu, Ioan Lucian Moradi, Farshad |
| description | In spintronic-based neuromorphic computing systems (NCSs), the switching of magnetic moment in a magnetic tunnel junction (MTJ) is used to mimic biological neuron firing. However, the high currents required for MTJ switching will lead to a large energy consumption and low speed operation of the MTJ-based NCSs. In this brief, the energy consumption and the delay of the proposed MTJ-based NCS are reduced by thermally assisting the MTJ switching through a microwatt nanosecond laser pulse. Simulation results show 85.7%, 84%, and 97.8% improvements in energy consumption, delay, and energy-delay product, respectively, for the laser-assisted spintronic NCS (LAS-NCS) by heating the MTJs up to 127 °C. The energy consumption of the laser pulse for heating up the MTJ stack is 1.2×-2.4× lower than Joule heating method. Moreover, in contrast with Joule heating method, the LAS-NCS does not require MTJ with modified structure. |
| doi_str_mv | 10.1109/TCSII.2019.2908077 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_2220123610</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8675974</ieee_id><sourcerecordid>2220123610</sourcerecordid><originalsourceid>FETCH-LOGICAL-c388t-94cf5dba3f5d1cb5b46aaf08dbfcd1e11d633f4a4ffbbb799ca9fda619acffb3</originalsourceid><addsrcrecordid>eNo9kMtOwzAQRS0EEqXwA7CJxNrFr8QxuxAVqBSVRbq3bMeGVOSBnSz697i0YjMvnTujuQDcY7TCGImnXVlvNiuCsFgRgXLE-QVY4DTNIeUCXx5rJiDnjF-DmxD2CEWMkgV4qYoabsv6OSmSSgXrYRFCGybbJPXY9pMf-tYkWzv7oRv8-BWbcujGeWr7z6Q-RLC7BVdOfQd7d85LsHtd78p3WH28bcqigobm-QQFMy5ttKIxYqNTzTKlHMob7UyDLcZNRqljijmnteZCGCVcozIslIkjugSPp7WjH35mGya5H2bfx4uSkPg5oRlGkSInyvghBG-dHH3bKX-QGMmjVfLPKnm0Sp6tiqKHk6i11v4L8oyngjP6C25CZlg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2220123610</pqid></control><display><type>article</type><title>LAS-NCS: A Laser-Assisted Spintronic Neuromorphic Computing System</title><source>IEEE Electronic Library (IEL)</source><creator>Farkhani, Hooman ; Prejbeanu, Ioan Lucian ; Moradi, Farshad</creator><creatorcontrib>Farkhani, Hooman ; Prejbeanu, Ioan Lucian ; Moradi, Farshad</creatorcontrib><description>In spintronic-based neuromorphic computing systems (NCSs), the switching of magnetic moment in a magnetic tunnel junction (MTJ) is used to mimic biological neuron firing. However, the high currents required for MTJ switching will lead to a large energy consumption and low speed operation of the MTJ-based NCSs. In this brief, the energy consumption and the delay of the proposed MTJ-based NCS are reduced by thermally assisting the MTJ switching through a microwatt nanosecond laser pulse. Simulation results show 85.7%, 84%, and 97.8% improvements in energy consumption, delay, and energy-delay product, respectively, for the laser-assisted spintronic NCS (LAS-NCS) by heating the MTJs up to 127 °C. The energy consumption of the laser pulse for heating up the MTJ stack is 1.2×-2.4× lower than Joule heating method. Moreover, in contrast with Joule heating method, the LAS-NCS does not require MTJ with modified structure.</description><identifier>ISSN: 1549-7747</identifier><identifier>EISSN: 1558-3791</identifier><identifier>DOI: 10.1109/TCSII.2019.2908077</identifier><identifier>CODEN: ICSPE5</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Computation ; Computer simulation ; COMSOL multiphysics ; Delay ; Energy consumption ; energy efficient ; Heating systems ; laser ; Laser beam heating ; Lasers ; Low speed ; Magnetic moments ; Magnetic tunneling ; Memristors ; MTJ ; Neuromorphic computing ; Neuromorphic computing system ; Ohmic dissipation ; Resistance ; Resistance heating ; Switches ; Switching ; Tunnel junctions ; Vertical cavity surface emitting lasers</subject><ispartof>IEEE transactions on circuits and systems. II, Express briefs, 2019-05, Vol.66 (5), p.838-842</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c388t-94cf5dba3f5d1cb5b46aaf08dbfcd1e11d633f4a4ffbbb799ca9fda619acffb3</citedby><cites>FETCH-LOGICAL-c388t-94cf5dba3f5d1cb5b46aaf08dbfcd1e11d633f4a4ffbbb799ca9fda619acffb3</cites><orcidid>0000-0001-7077-8545 ; 0000-0002-8632-2240</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8675974$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8675974$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Farkhani, Hooman</creatorcontrib><creatorcontrib>Prejbeanu, Ioan Lucian</creatorcontrib><creatorcontrib>Moradi, Farshad</creatorcontrib><title>LAS-NCS: A Laser-Assisted Spintronic Neuromorphic Computing System</title><title>IEEE transactions on circuits and systems. II, Express briefs</title><addtitle>TCSII</addtitle><description>In spintronic-based neuromorphic computing systems (NCSs), the switching of magnetic moment in a magnetic tunnel junction (MTJ) is used to mimic biological neuron firing. However, the high currents required for MTJ switching will lead to a large energy consumption and low speed operation of the MTJ-based NCSs. In this brief, the energy consumption and the delay of the proposed MTJ-based NCS are reduced by thermally assisting the MTJ switching through a microwatt nanosecond laser pulse. Simulation results show 85.7%, 84%, and 97.8% improvements in energy consumption, delay, and energy-delay product, respectively, for the laser-assisted spintronic NCS (LAS-NCS) by heating the MTJs up to 127 °C. The energy consumption of the laser pulse for heating up the MTJ stack is 1.2×-2.4× lower than Joule heating method. Moreover, in contrast with Joule heating method, the LAS-NCS does not require MTJ with modified structure.</description><subject>Computation</subject><subject>Computer simulation</subject><subject>COMSOL multiphysics</subject><subject>Delay</subject><subject>Energy consumption</subject><subject>energy efficient</subject><subject>Heating systems</subject><subject>laser</subject><subject>Laser beam heating</subject><subject>Lasers</subject><subject>Low speed</subject><subject>Magnetic moments</subject><subject>Magnetic tunneling</subject><subject>Memristors</subject><subject>MTJ</subject><subject>Neuromorphic computing</subject><subject>Neuromorphic computing system</subject><subject>Ohmic dissipation</subject><subject>Resistance</subject><subject>Resistance heating</subject><subject>Switches</subject><subject>Switching</subject><subject>Tunnel junctions</subject><subject>Vertical cavity surface emitting lasers</subject><issn>1549-7747</issn><issn>1558-3791</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtOwzAQRS0EEqXwA7CJxNrFr8QxuxAVqBSVRbq3bMeGVOSBnSz697i0YjMvnTujuQDcY7TCGImnXVlvNiuCsFgRgXLE-QVY4DTNIeUCXx5rJiDnjF-DmxD2CEWMkgV4qYoabsv6OSmSSgXrYRFCGybbJPXY9pMf-tYkWzv7oRv8-BWbcujGeWr7z6Q-RLC7BVdOfQd7d85LsHtd78p3WH28bcqigobm-QQFMy5ttKIxYqNTzTKlHMob7UyDLcZNRqljijmnteZCGCVcozIslIkjugSPp7WjH35mGya5H2bfx4uSkPg5oRlGkSInyvghBG-dHH3bKX-QGMmjVfLPKnm0Sp6tiqKHk6i11v4L8oyngjP6C25CZlg</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Farkhani, Hooman</creator><creator>Prejbeanu, Ioan Lucian</creator><creator>Moradi, Farshad</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-7077-8545</orcidid><orcidid>https://orcid.org/0000-0002-8632-2240</orcidid></search><sort><creationdate>20190501</creationdate><title>LAS-NCS: A Laser-Assisted Spintronic Neuromorphic Computing System</title><author>Farkhani, Hooman ; Prejbeanu, Ioan Lucian ; Moradi, Farshad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c388t-94cf5dba3f5d1cb5b46aaf08dbfcd1e11d633f4a4ffbbb799ca9fda619acffb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Computation</topic><topic>Computer simulation</topic><topic>COMSOL multiphysics</topic><topic>Delay</topic><topic>Energy consumption</topic><topic>energy efficient</topic><topic>Heating systems</topic><topic>laser</topic><topic>Laser beam heating</topic><topic>Lasers</topic><topic>Low speed</topic><topic>Magnetic moments</topic><topic>Magnetic tunneling</topic><topic>Memristors</topic><topic>MTJ</topic><topic>Neuromorphic computing</topic><topic>Neuromorphic computing system</topic><topic>Ohmic dissipation</topic><topic>Resistance</topic><topic>Resistance heating</topic><topic>Switches</topic><topic>Switching</topic><topic>Tunnel junctions</topic><topic>Vertical cavity surface emitting lasers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Farkhani, Hooman</creatorcontrib><creatorcontrib>Prejbeanu, Ioan Lucian</creatorcontrib><creatorcontrib>Moradi, Farshad</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on circuits and systems. II, Express briefs</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Farkhani, Hooman</au><au>Prejbeanu, Ioan Lucian</au><au>Moradi, Farshad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>LAS-NCS: A Laser-Assisted Spintronic Neuromorphic Computing System</atitle><jtitle>IEEE transactions on circuits and systems. II, Express briefs</jtitle><stitle>TCSII</stitle><date>2019-05-01</date><risdate>2019</risdate><volume>66</volume><issue>5</issue><spage>838</spage><epage>842</epage><pages>838-842</pages><issn>1549-7747</issn><eissn>1558-3791</eissn><coden>ICSPE5</coden><abstract>In spintronic-based neuromorphic computing systems (NCSs), the switching of magnetic moment in a magnetic tunnel junction (MTJ) is used to mimic biological neuron firing. However, the high currents required for MTJ switching will lead to a large energy consumption and low speed operation of the MTJ-based NCSs. In this brief, the energy consumption and the delay of the proposed MTJ-based NCS are reduced by thermally assisting the MTJ switching through a microwatt nanosecond laser pulse. Simulation results show 85.7%, 84%, and 97.8% improvements in energy consumption, delay, and energy-delay product, respectively, for the laser-assisted spintronic NCS (LAS-NCS) by heating the MTJs up to 127 °C. The energy consumption of the laser pulse for heating up the MTJ stack is 1.2×-2.4× lower than Joule heating method. Moreover, in contrast with Joule heating method, the LAS-NCS does not require MTJ with modified structure.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TCSII.2019.2908077</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0001-7077-8545</orcidid><orcidid>https://orcid.org/0000-0002-8632-2240</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1549-7747 |
| ispartof | IEEE transactions on circuits and systems. II, Express briefs, 2019-05, Vol.66 (5), p.838-842 |
| issn | 1549-7747 1558-3791 |
| language | eng |
| recordid | cdi_proquest_journals_2220123610 |
| source | IEEE Electronic Library (IEL) |
| subjects | Computation Computer simulation COMSOL multiphysics Delay Energy consumption energy efficient Heating systems laser Laser beam heating Lasers Low speed Magnetic moments Magnetic tunneling Memristors MTJ Neuromorphic computing Neuromorphic computing system Ohmic dissipation Resistance Resistance heating Switches Switching Tunnel junctions Vertical cavity surface emitting lasers |
| title | LAS-NCS: A Laser-Assisted Spintronic Neuromorphic Computing System |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T06%3A51%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=LAS-NCS:%20A%20Laser-Assisted%20Spintronic%20Neuromorphic%20Computing%20System&rft.jtitle=IEEE%20transactions%20on%20circuits%20and%20systems.%20II,%20Express%20briefs&rft.au=Farkhani,%20Hooman&rft.date=2019-05-01&rft.volume=66&rft.issue=5&rft.spage=838&rft.epage=842&rft.pages=838-842&rft.issn=1549-7747&rft.eissn=1558-3791&rft.coden=ICSPE5&rft_id=info:doi/10.1109/TCSII.2019.2908077&rft_dat=%3Cproquest_RIE%3E2220123610%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2220123610&rft_id=info:pmid/&rft_ieee_id=8675974&rfr_iscdi=true |