The Cost of Application-Class Processing: Energy and Performance Analysis of a Linux-ready 1.7GHz 64bit RISC-V Core in 22nm FDSOI Technology
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Abstract (arXiv)
The open-source RISC-V ISA is gaining traction, both in industry and academia. The ISA is designed to scale from micro-controllers to server-class processors. Furthermore, openness promotes the availability of various open-source and commercial implementations. Our main contribution in this work is a thorough power, performance, and efficiency analysis of the RISC-V ISA targeting baseline "application class" functionality, i.e. supporting the Linux OS and its application environment based on our open-source single-issue in-order implementation of the 64 bit ISA variant (RV64GC) called Ariane. Our analysis is based on a detailed power and efficiency analysis of the RISC-V ISA extracted from silicon measurements and calibrated simulation of an Ariane instance (RV64IMC) taped-out in GlobalFoundries 22 FDX technology. Ariane runs at up to 1.7 GHz and achieves up to 40 Gop/sW peak efficiency. We give insight into the interplay between functionality required for application-class execution (e.g. virtual memory, caches, multiple modes of privileged operation) and energy cost. Our analysis indicates that ISA heterogeneity and simpler cores with a few critical instruction extensions (e.g. packed SIMD) can significantly boost a RISC-V core's compute energy efficiency.
Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Apr 2019.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 4; 2024: 2; 2025: 3; 2026: 4.
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12 most cited of 13 All 13 (JSON)
- 2026HiFuzz: Hierarchical Reinforcement Learning for Semantic-Aware and Adaptive CPU Fuzzing7 Jul 2026
- 2026HighTide: An Agent-Curated Open-Source VLSI Benchmark Suite2 Jun 2026
- 2026Heterogeneous SoC Integrating an Open-Source Recurrent SNN Accelerator for Neuromorphic Edge Computing on FPGA12 May 2026
- 2025ASPO: Constraint-Aware Bayesian Optimization for FPGA-based Soft Processors7 Jun 2025
- 2025Enhancing Large Language Models for Hardware Verification: A Novel SystemVerilog Assertion Dataset11 Mar 2025
- 2024That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for Chip Design15 Nov 2024
- 2024LLM4SecHW: Leveraging Domain Specific Large Language Model for Hardware Debugging28 Jan 2024
- 2023A Hardware Evaluation Framework for Large Language Model Inference5 Dec 2023
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- 2022MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning24 Nov 2022
- 2021Deceptive Logic Locking for Hardware Integrity Protection against Machine Learning Attacks19 Jul 2021
12 newest of 13 All 13 (JSON)