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 volumeConference contributionScientificpeer-review

10 Citations (Scopus)


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 languageEnglish
Title of host publicationSCOPES'19
Subtitle of host publicationProceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems
EditorsSander Stuijk
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Number of pages4
ISBN (Print)978-1-4503-6762-2
Publication statusPublished - 27 May 2019
Event22nd International Workshop on Software and Compilers for Embedded Systems, SCOPES 2019 - St. Goar, Germany
Duration: 27 May 201928 May 2019


Conference22nd International Workshop on Software and Compilers for Embedded Systems, SCOPES 2019
CitySt. Goar


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


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