CIM-SIM: Computation in Memory SIMuIator

Ali Banagozar; Kanishkan Vadivel; Sander Stuijk; Henk Corporaal; Stephan Wong; Muath Abu Lebdeh; Jintao Yu; Said Hamdioui

doi:10.1145/3323439.3323989

CIM-SIM: Computation in Memory SIMuIator

Ali Banagozar, Kanishkan Vadivel, Sander Stuijk, Henk Corporaal, Stephan Wong, Muath Abu Lebdeh, Jintao Yu, Said Hamdioui

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

15 Citations (Scopus)

Abstract

Computation-in-memory reverses the trend in von-Neumann processors by bringing the computation closer to the data, to even within the memory array, as opposed to introducing new memory hierarchies to keep (frequently used) data closer to a central processing unit (CPU). In recent years, new non-volatile memory (NVM) technologies, e.g., memristor, PCM, etc., have proven that they can function as memories and perform computations on the stored data as well. In particular, when they are combined with a modest set of (digital) peripheral modules, a wider range of operations can be supported, e.g., vector matrix multiply and Boolean logic. In this paper, we are introducing the CIM-SIM, an open source simulator written in SystemC, which is capable of simulating the functional behaviour of such architectures. The architecture includes the definition of a set of technology-agnostic nano-instructions.

Original language	English
Title of host publication	SCOPES'19
Subtitle of host publication	Proceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems
Editors	Sander Stuijk
Place of Publication	New York, NY
Publisher	Association for Computing Machinery (ACM)
Pages	1-4
Number of pages	4
ISBN (Print)	978-1-4503-6762-2
DOIs	https://doi.org/10.1145/3323439.3323989
Publication status	Published - 27 May 2019
Event	22nd International Workshop on Software and Compilers for Embedded Systems, SCOPES 2019 - St. Goar, Germany Duration: 27 May 2019 → 28 May 2019

Conference

Conference	22nd International Workshop on Software and Compilers for Embedded Systems, SCOPES 2019
Country/Territory	Germany
City	St. Goar
Period	27/05/19 → 28/05/19

Keywords

Computation In Memory
Memristor
Non-Volatile Memory
Non-Von Neumann Architecture
Simulator

Access to Document

10.1145/3323439.3323989

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Banagozar, A., Vadivel, K., Stuijk, S., Corporaal, H., Wong, S., Lebdeh, M. A., Yu, J., & Hamdioui, S. (2019). CIM-SIM: Computation in Memory SIMuIator. In S. Stuijk (Ed.), SCOPES'19: Proceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems (pp. 1-4). Association for Computing Machinery (ACM). https://doi.org/10.1145/3323439.3323989

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title = "CIM-SIM: Computation in Memory SIMuIator",

abstract = "Computation-in-memory reverses the trend in von-Neumann processors by bringing the computation closer to the data, to even within the memory array, as opposed to introducing new memory hierarchies to keep (frequently used) data closer to a central processing unit (CPU). In recent years, new non-volatile memory (NVM) technologies, e.g., memristor, PCM, etc., have proven that they can function as memories and perform computations on the stored data as well. In particular, when they are combined with a modest set of (digital) peripheral modules, a wider range of operations can be supported, e.g., vector matrix multiply and Boolean logic. In this paper, we are introducing the CIM-SIM, an open source simulator written in SystemC, which is capable of simulating the functional behaviour of such architectures. The architecture includes the definition of a set of technology-agnostic nano-instructions.",

keywords = "Computation In Memory, Memristor, Non-Volatile Memory, Non-Von Neumann Architecture, Simulator",

author = "Ali Banagozar and Kanishkan Vadivel and Sander Stuijk and Henk Corporaal and Stephan Wong and Lebdeh, {Muath Abu} and Jintao Yu and Said Hamdioui",

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Banagozar, A, Vadivel, K, Stuijk, S, Corporaal, H, Wong, S, Lebdeh, MA, Yu, J & Hamdioui, S 2019, CIM-SIM: Computation in Memory SIMuIator. in S Stuijk (ed.), SCOPES'19: Proceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems. Association for Computing Machinery (ACM), New York, NY, pp. 1-4, 22nd International Workshop on Software and Compilers for Embedded Systems, SCOPES 2019, St. Goar, Germany, 27/05/19. https://doi.org/10.1145/3323439.3323989

CIM-SIM: Computation in Memory SIMuIator. / Banagozar, Ali; Vadivel, Kanishkan; Stuijk, Sander et al.
SCOPES'19: Proceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems. ed. / Sander Stuijk. New York, NY: Association for Computing Machinery (ACM), 2019. p. 1-4.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Banagozar, Ali

AU - Vadivel, Kanishkan

AU - Stuijk, Sander

AU - Corporaal, Henk

AU - Wong, Stephan

AU - Lebdeh, Muath Abu

AU - Yu, Jintao

AU - Hamdioui, Said

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N2 - Computation-in-memory reverses the trend in von-Neumann processors by bringing the computation closer to the data, to even within the memory array, as opposed to introducing new memory hierarchies to keep (frequently used) data closer to a central processing unit (CPU). In recent years, new non-volatile memory (NVM) technologies, e.g., memristor, PCM, etc., have proven that they can function as memories and perform computations on the stored data as well. In particular, when they are combined with a modest set of (digital) peripheral modules, a wider range of operations can be supported, e.g., vector matrix multiply and Boolean logic. In this paper, we are introducing the CIM-SIM, an open source simulator written in SystemC, which is capable of simulating the functional behaviour of such architectures. The architecture includes the definition of a set of technology-agnostic nano-instructions.

AB - Computation-in-memory reverses the trend in von-Neumann processors by bringing the computation closer to the data, to even within the memory array, as opposed to introducing new memory hierarchies to keep (frequently used) data closer to a central processing unit (CPU). In recent years, new non-volatile memory (NVM) technologies, e.g., memristor, PCM, etc., have proven that they can function as memories and perform computations on the stored data as well. In particular, when they are combined with a modest set of (digital) peripheral modules, a wider range of operations can be supported, e.g., vector matrix multiply and Boolean logic. In this paper, we are introducing the CIM-SIM, an open source simulator written in SystemC, which is capable of simulating the functional behaviour of such architectures. The architecture includes the definition of a set of technology-agnostic nano-instructions.

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PB - Association for Computing Machinery (ACM)

CY - New York, NY

Y2 - 27 May 2019 through 28 May 2019

ER -

CIM-SIM: Computation in Memory SIMuIator

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Keywords

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