TY - GEN
T1 - DOSAGE
T2 - 2021 IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2021
AU - Limaye, Ankur
AU - Adegbija, Tosiron
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/26
Y1 - 2021/7/26
N2 - Integrating low-overhead domain-specific accelerators with low-energy general-purpose processors can improve the processors' performance efficiency in resource-constrained systems (e.g., embedded systems). However, current function-based approaches for designing domain-specific accelerators require substantial programmer efforts for hardware/software partitioning and program modifications to access the best available hardware accelerators. This paper presents DOSAGE, an LLVM compiler-based methodology to generate domain-specific accelerators for resource-constrained computing systems. Given a set of applications, DOSAGE automatically identifies and ranks the recurrent and similar code blocks that would benefit the most from hardware acceleration, based on the code blocks' composition. We illustrate the benefits of the proposed approach using a case study that involves generating domain-specific accelerators for a diverse set of healthcare applications and evaluate the accelerators via FPGA-based prototyping. Compared to a base low-resource RISC-V processor, DOSAGE accelerators improved the system's performance and energy by 24.85% and 8.54%, respectively. Furthermore, compared to a state-of-the-art function-based accelerator generation approach, DOSAGE eliminated the function-level granularity constraint of the generation process and reduced the number of required accelerators - and, in effect, the interfacing overhead - by 33.33%, while achieving equal or better program coverage and performance/energy results.
AB - Integrating low-overhead domain-specific accelerators with low-energy general-purpose processors can improve the processors' performance efficiency in resource-constrained systems (e.g., embedded systems). However, current function-based approaches for designing domain-specific accelerators require substantial programmer efforts for hardware/software partitioning and program modifications to access the best available hardware accelerators. This paper presents DOSAGE, an LLVM compiler-based methodology to generate domain-specific accelerators for resource-constrained computing systems. Given a set of applications, DOSAGE automatically identifies and ranks the recurrent and similar code blocks that would benefit the most from hardware acceleration, based on the code blocks' composition. We illustrate the benefits of the proposed approach using a case study that involves generating domain-specific accelerators for a diverse set of healthcare applications and evaluate the accelerators via FPGA-based prototyping. Compared to a base low-resource RISC-V processor, DOSAGE accelerators improved the system's performance and energy by 24.85% and 8.54%, respectively. Furthermore, compared to a state-of-the-art function-based accelerator generation approach, DOSAGE eliminated the function-level granularity constraint of the generation process and reduced the number of required accelerators - and, in effect, the interfacing overhead - by 33.33%, while achieving equal or better program coverage and performance/energy results.
KW - Domain-specific accelerators
KW - embedded systems
KW - hardware software co-design
KW - low-energy
KW - resource-constrained computing
UR - http://www.scopus.com/inward/record.url?scp=85114302732&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85114302732&partnerID=8YFLogxK
U2 - 10.1109/ISLPED52811.2021.9502501
DO - 10.1109/ISLPED52811.2021.9502501
M3 - Conference contribution
AN - SCOPUS:85114302732
T3 - Proceedings of the International Symposium on Low Power Electronics and Design
BT - 2021 IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 26 July 2021 through 28 July 2021
ER -