A Distributed Emulation Environment for In-Memory Computing Systems
By: Eleni Bougioukou , Anastasios Petropoulos , Nikolaos Toulgaridis and more
Potential Business Impact:
Builds AI chips faster for better computers.
In-memory computing technology is used extensively in artificial intelligence devices due to lower power consumption and fast calculation of matrix-based functions. The development of such a device and its integration in a system takes a significant amount of time and requires the use of a real-time emulation environment, where various system aspects are analyzed, microcode is tested, and applications are deployed, even before the real chip is available. In this work, we present the architecture, the software development tools, and experimental results of a distributed and expandable emulation system for rapid prototyping of integrated circuits based on in-memory computing technologies. Presented experimental results demonstrate the usefulness of the proposed emulator.
Similar Papers
MemIntelli: A Generic End-to-End Simulation Framework for Memristive Intelligent Computing
Hardware Architecture
Tests smart computer chips before they are built.
Cloud-Enabled Virtual Prototypes
Distributed, Parallel, and Cluster Computing
Makes smart devices work better and safer.
Modeling and Simulation Frameworks for Processing-in-Memory Architectures
Hardware Architecture
Makes computers faster by doing math inside memory.