CIM-SIM: computation in Memory SIMuIator

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

10 Citations (Scopus)
236 Downloads (Pure)


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 publicationProceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems, SCOPES 2019
EditorsSander Stuijk
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Number of pages4
ISBN (Electronic)978-1-4503-6762-2
Publication statusPublished - 27 May 2019
Event22nd International Workshop on Software and Compilers for Embedded Systems, (SCOPES2019) - St. Goar, Germany
Duration: 27 May 201928 May 2019


Conference22nd International Workshop on Software and Compilers for Embedded Systems, (SCOPES2019)
Abbreviated titleSCOPES2019
CitySt. Goar
Internet address


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


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