Mahesh Nirmala A, Walter D, Hannig F, Teich J (2026)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2026
Event location: Imperial College London London, UK
This work presents a symbolic approach for estimating the energy consumption for nested loop programs when mapped and scheduled on parallel processor array accelerator architectures. Instead of simulation-based evaluation, we derive a methodology for symbolic energy analysis that captures the impact of mapping and scheduling decisions of loop nests on processor arrays. We compare our approach against simulation-based results for selected benchmarks and varying sizes of the iteration spaces. Whereas the latter are not scalable, our symbolic analysis is shown to be independent of the problem size. The presented evaluation methodology can be beneficially used during the design space exploration of mapping and scheduling decisions, for studying the influence of array size variations, and for comparisons with other loop nest accelerator architectures.
APA:
Mahesh Nirmala, A., Walter, D., Hannig, F., & Teich, J. (2026). Symbolic Energy Analysis for Nested Loop Accelerators. In Proceedings of the 37th IEEE International Conference on Application-specific Systems, Architectures and Processors. Imperial College London London, UK.
MLA:
Mahesh Nirmala, Avinash, et al. "Symbolic Energy Analysis for Nested Loop Accelerators." Proceedings of the 37th IEEE International Conference on Application-specific Systems, Architectures and Processors, Imperial College London London, UK 2026.
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