A Comparative Study on Simulation Frameworks for AI Accelerator Evaluation
2024 (English)In: IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2024, Institute of Electrical and Electronics Engineers (IEEE), 2024, p. 321-328Conference paper, Published paper (Refereed)
Abstract [en]
Domain-Specific Hardware Accelerators (DSHA) are natural components in the evolution of general computers. However, designing and simulating hardware in Hardware Description Languages (HDL) often requires more effort for the developers and might not be suitable in all scenarios, which makes high-level language-based software simulators for computer hardware attractive. Yet, choosing which simulation framework to use can be challenging due to the lack of comparative studies of high-level language-based simulators. This paper presents a comparative evaluation of state-of-the-art simulation frameworks that simulate computer hardware in high-level languages like C++. The contemporary simulators used in this study were selected from the 79 articles introducing novel AI accelerators referenced in our previous survey. We have identified six simulators that are suitable for AI accelerator evaluation, and provide a deeper analysis of three of them. © 2024 IEEE.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2024. p. 321-328
Keywords [en]
AI Accelerator, Comparative Study, Hardware Simulator, Simulation, C++ (programming language), Computer hardware, Computer simulation languages, Computer software, Comparatives studies, Domain specific, Hardware accelerators, Hardware simulators, High-level language, Higher-level languages, Simulation framework, Specific hardware, Computer hardware description languages
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-26819DOI: 10.1109/IPDPSW63119.2024.00073ISI: 001284697300115Scopus ID: 2-s2.0-85200768653ISBN: 9798350364606 (print)OAI: oai:DiVA.org:bth-26819DiVA, id: diva2:1889621
Conference
2024 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2024, San Francisco, May 27-31 2024
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications2024-08-162024-08-162025-09-30Bibliographically approved