Resource-efficient RISC-V Vector Extension Architecture for FPGA-based Accelerators
Author:
Affiliation:
1. Tokyo Institute of Technology, Japan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3597031.3597047
Reference18 articles.
1. Muhammad Ali and Diana Göhringer . 2022 . Application Specific Instruction-Set Processors for Machine Learning Applications. In 2022 International Conference on Field-Programmable Technology (ICFPT). IEEE, 1–4. Muhammad Ali and Diana Göhringer. 2022. Application Specific Instruction-Set Processors for Machine Learning Applications. In 2022 International Conference on Field-Programmable Technology (ICFPT). IEEE, 1–4.
2. Vector Processing Unit: A RISC-V based SIMD Co-processor for Embedded Processing
3. Ara: A 1-GHz+ Scalable and Energy-Efficient RISC-V Vector Processor With Multiprecision Floating-Point Support in 22-nm FD-SOI
4. Spatz
5. VEGAS
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