3969884
doi
10.1038/s41928-020-0410-3
oai:zenodo.org:3969884
user-eu
Le Gallo, Manuel
IBM Research - Zurich
Cherubini, Giovanni
IBM Research - Zurich
Benini, Luca
ETH Zurich
Rahimi, Abbas
ETH Zurich
Sebastian, Abu
IBM Research - Zurich
In-memory hyperdimensional computing
Karunaratne, Geethan
IBM Research - Zurich
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>Hyperdimensional computing is an emerging computational framework that takes inspiration from attributes of neuronal<br>
circuits including hyperdimensionality, fully distributed holographic representation, and (pseudo)randomness. When employed for machine learning tasks, such as learning and classification, the framework involves manipulation and comparison of large patterns within memory. A key attribute of hyperdimensional computing is its robustness to the imperfections associated with the computational substrates on which it is implemented. It is therefore particularly amenable to emerging non-von Neumann approaches such as in-memory computing, where the physical attributes of nanoscale memristive devices are exploited to perform computation. Here, we report a complete in-memory hyperdimensional computing system in which all operations are implemented on two memristive crossbar engines together with peripheral digital complementary metal–oxide–semiconductor (CMOS) circuits. Our approach can achieve a near optimum trade-off between design complexity and classification accuracy based on three prototypical hyperdimensional computing related learning tasks: language classification, news classification, and hand gesture recognition from electromyography signals. Experiments using 760,000 phase-change memory devices performing analogue in-memory computing achieve comparable accuracies to software implementations.</p>
Zenodo
2020-06-01
info:eu-repo/semantics/article
3969883
user-eu
award_title=PROJECTED MEMRISTOR: A nanoscale device for cognitive computing; award_number=682675; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/682675; funder_id=00k4n6c32; funder_name=European Commission;
award_title=Computation-in-memory architecture based on resistive devices; award_number=780215; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/780215; funder_id=00k4n6c32; funder_name=European Commission;
1606825624.006462
545992
md5:a1d8d26fe21b019bd913e1d73572a135
https://zenodo.org/records/3969884/files/R3_Manuscript_InMemoryHDC.pdf
public