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Abstract
Processors based on the von Neumann architecture show inefficient performance on many emerging data-intensive workloads. Computation in-memory (CIM) tries to address this challenge by performing the computation on the data location. To realize CIM, memristors, that are deployed in a crossbar structure, are a promising candidate. Even though extensive research has been carried out on memristors at device/circuit-level, the implications of their integration as accelerators (CIM units) in a full-blown system are not studied extensively. To study that, we developed a simulator for memristor crossbar and its analog peripheries. This paper evaluates a complete system consisting of a Transport Triggered Architecture (TTA) based host core integrating one or more CIM units. This evaluation is based on a cycle-accurate simulation. For this purpose we designed a simulator which a) includes the memristor crossbar operations as well as its surrounding analog drivers, b) provides the required interface to the co-processing digital elements, and c) presents a micro-instruction set architecture (micro-ISA) that controls and operates both analog and digital components. It is used to assess the effectiveness of the CIM unit in terms of performance, energy, and area in a full-blown system. It is shown, for example, that the EDAP for the deep learning application, LeNet, is reduced by 84% in a full-blown system deploying memristor based crossbars.
Original language | English |
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Title of host publication | Embedded Computer Systems |
Subtitle of host publication | Architectures, Modeling, and Simulation - 20th International Conference, SAMOS 2020, Proceedings |
Editors | Alex Orailoglu, Matthias Jung, Marc Reichenbach |
Publisher | Springer |
Pages | 152-168 |
Number of pages | 17 |
ISBN (Electronic) | 978-3-030-60939-9 |
ISBN (Print) | 978-3-030-60938-2 |
DOIs | |
Publication status | Published - 2020 |
Event | 20th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2020 - Samos, Greece Duration: 5 Jul 2020 → 9 Jul 2020 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12471 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 20th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2020 |
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Country/Territory | Greece |
City | Samos |
Period | 5/07/20 → 9/07/20 |
Funding
Acknowledgment. This research is supported by EC Horizon 2020 Research and Innovation Program through MNEMOSENE project under Grant 780215. The work also recevied support from the FitOptiVis project [1] funded by the ECSEL Joint Undertaking under grant number H2020-ECSEL-2017-2-783162.
Funders | Funder number |
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European Union's Horizon 2020 - Research and Innovation Framework Programme | H2020-ECSEL-2017-2-783162 |
European Union's Horizon 2020 - Research and Innovation Framework Programme | 780215 |
Keywords
- Computation in memory
- Memristor
- Non-von neumann architectures
- Simulator
- Transport Triggered Architecture
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Dive into the research topics of 'System Simulation of Memristor Based Computation in Memory Platforms'. Together they form a unique fingerprint.Projects
- 1 Finished
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MNEMOSENE - Computation-in-memory architecture based on resistive devices
Corporaal, H. (Project Manager), Jordans, R. (Project member), Sánchez Martín, V. (Project Manager), Stuijk, S. (Project member), Banagozar, A. (Project member), Vadivel, K. (Project member), Singh, G. (Project member), van der Hagen, D. (Project communication officer) & de Mol-Regels, M. (Project communication officer)
1/01/18 → 30/06/21
Project: Research direct