JOURNAL ARTICLE

NvMISC: Toward an FPGA-Based Emulation Platform for RISC-V and Nonvolatile Memories

Yuankang ZhaoSalim UllahSiva Satyendra SahooAkash Kumar

Year: 2023 Journal:   IEEE Embedded Systems Letters Vol: 15 (4)Pages: 170-173   Publisher: Institute of Electrical and Electronics Engineers

Abstract

The emerging nonvolatile memories (NVMs), such as spin transfer torque random access memory (STT-RAM) and racetrack memory (RTM), offer a promising solution to satisfy the memory and performance requirements of modern applications. Compared to the commonly utilized volatile static random-access memories (SRAMs), the NVMs provide better capacity and energy efficiency. However, many of these NVMs are still in the development phases and require proper evaluation in order to evaluate the impact of their use at the system level. Therefore, there is a need to design functional- and cycleaccurate simulators/emulators to evaluate the performance of these memory technologies. To this end, this work focuses on implementing a RISC-V-based emulation platform for evaluating NVMs. The proposed framework provides interfaces to integrate various types of NVMs, with RTMs and STT-RAMs used as test cases. The efficacy of the framework is evaluated by executing benchmark applications.

Keywords:
Computer science Emulation Non-volatile memory Embedded system Benchmark (surveying) Random access memory Computer architecture Computer hardware

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Citation History

Topics

Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Parallel Computing and Optimization Techniques
Physical Sciences →  Computer Science →  Hardware and Architecture
Advanced Data Storage Technologies
Physical Sciences →  Computer Science →  Computer Networks and Communications
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