CIMR-V: An End-to-End SRAM-based CIM Accelerator with RISC-V for AI Edge Device
Fuente:
arXiv
Saved in:
| Main Authors: | and, Yan-Cheng Guo, Chang, Tian-Sheuan, Lin, Chih-Sheng, Chiou, Bo-Cheng, Lai, Chih-Ming, Sheu, Shyh-Shyuan, Lo, Wei-Chung, Chang, Shih-Chieh |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RCW-CIM: A Digital CIM-based LLM Accelerator with Read-Compute/Write
by: Guo, Yan-Cheng, et al.
Published: (2026)
by: Guo, Yan-Cheng, et al.
Published: (2026)
A 14uJ/Decision Keyword Spotting Accelerator with In-SRAM-Computing and On Chip Learning for Customization
by: Chiang, Yu-Hsiang, et al.
Published: (2022)
by: Chiang, Yu-Hsiang, et al.
Published: (2022)
VitaLLM: A Versatile and Tiny Accelerator for Mixed-Precision LLM Inference on Edge Devices
by: Lin, Zi-Wei, et al.
Published: (2026)
by: Lin, Zi-Wei, et al.
Published: (2026)
Mamba-X: An End-to-End Vision Mamba Accelerator for Edge Computing Devices
by: Yoon, Dongho, et al.
Published: (2025)
by: Yoon, Dongho, et al.
Published: (2025)
ESSR: An 8K@30FPS Super-Resolution Accelerator With Edge Selective Network
by: Hsu, Chih-Chia, et al.
Published: (2025)
by: Hsu, Chih-Chia, et al.
Published: (2025)
A Low-Power Sparse Deep Learning Accelerator with Optimized Data Reuse
by: Hsu, Kai-Chieh, et al.
Published: (2025)
by: Hsu, Kai-Chieh, et al.
Published: (2025)
Computing-In-Memory Aware Model Adaption For Edge Devices
by: Lin, Ming-Han, et al.
Published: (2025)
by: Lin, Ming-Han, et al.
Published: (2025)
HyperCroc: End-to-End Open-Source RISC-V MCU with a Plug-In Interface for Domain-Specific Accelerators
by: Sauter, Philippe, et al.
Published: (2026)
by: Sauter, Philippe, et al.
Published: (2026)
A PVT-Resilient Subthreshold SRAM-Based In-Memory Computing Accelerator with In-Situ Regulation for Energy-Efficient Spiking Neural Networks
by: Kao, Shih-Hang, et al.
Published: (2026)
by: Kao, Shih-Hang, et al.
Published: (2026)
A 71.2-$μ$W Speech Recognition Accelerator with Recurrent Spiking Neural Network
by: Yang, Chih-Chyau, et al.
Published: (2025)
by: Yang, Chih-Chyau, et al.
Published: (2025)
AccelCIM: Systematic Dataflow Exploration for SRAM Compute-in-Memory Accelerator
by: Xue, Chenhao, et al.
Published: (2026)
by: Xue, Chenhao, et al.
Published: (2026)
CIM-Tuner: Balancing the Compute and Storage Capacity of SRAM-CIM Accelerator via Hardware-mapping Co-exploration
by: Chen, Jinwu, et al.
Published: (2026)
by: Chen, Jinwu, et al.
Published: (2026)
Acore-CIM: build accurate and reliable mixed-signal CIM cores with RISC-V controlled self-calibration
by: Numan, Omar, et al.
Published: (2025)
by: Numan, Omar, et al.
Published: (2025)
VESTA: A Versatile SNN-Based Transformer Accelerator with Unified PEs for Multiple Computational Layers
by: Chen, Ching-Yao, et al.
Published: (2025)
by: Chen, Ching-Yao, et al.
Published: (2025)
Vorion: A RISC-V GPU with Hardware-Accelerated 3D Gaussian Rendering and Training
by: Wang, Yipeng, et al.
Published: (2025)
by: Wang, Yipeng, et al.
Published: (2025)
3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering
by: Huang, Wei-Hsing, et al.
Published: (2025)
by: Huang, Wei-Hsing, et al.
Published: (2025)
MARVEL: An End-to-End Framework for Generating Model-Class Aware Custom RISC-V Extensions for Lightweight AI
by: M, Ajay Kumar, et al.
Published: (2025)
by: M, Ajay Kumar, et al.
Published: (2025)
Basilisk: An End-to-End Open-Source Linux-Capable RISC-V SoC in 130nm CMOS
by: Scheffler, Paul, et al.
Published: (2024)
by: Scheffler, Paul, et al.
Published: (2024)
A Low-Power Streaming Speech Enhancement Accelerator For Edge Devices
by: Wu, Ci-Hao, et al.
Published: (2025)
by: Wu, Ci-Hao, et al.
Published: (2025)
Hardware Efficient Accelerator for Spiking Transformer With Reconfigurable Parallel Time Step Computing
by: Chen, Bo-Yu, et al.
Published: (2025)
by: Chen, Bo-Yu, et al.
Published: (2025)
VitaLLM: A Versatile, Ultra-Compact Ternary LLM Accelerator with Dependency-Aware Scheduling
by: Lin, Zi-Wei, et al.
Published: (2026)
by: Lin, Zi-Wei, et al.
Published: (2026)
Croc: An End-to-End Open-Source Extensible RISC-V MCU Platform to Democratize Silicon
by: Sauter, Phillippe, et al.
Published: (2025)
by: Sauter, Phillippe, et al.
Published: (2025)
Dynamic Gradient Sparse Update for Edge Training
by: Li, I-Hsuan, et al.
Published: (2025)
by: Li, I-Hsuan, et al.
Published: (2025)
Decentor-V: Lightweight ML Training on Low-Power RISC-V Edge Devices
by: Ribeiro, Marcelo, et al.
Published: (2025)
by: Ribeiro, Marcelo, et al.
Published: (2025)
CIMinus: Empowering Sparse DNN Workloads Modeling and Exploration on SRAM-based CIM Architectures
by: Qi, Yingjie, et al.
Published: (2025)
by: Qi, Yingjie, et al.
Published: (2025)
Basilisk: A 34 mm2 End-to-End Open-Source 64-bit Linux-Capable RISC-V SoC in 130nm BiCMOS
by: Sauter, Philippe, et al.
Published: (2025)
by: Sauter, Philippe, et al.
Published: (2025)
An Efficient Data Reuse with Tile-Based Adaptive Stationary for Transformer Accelerators
by: Li, Tseng-Jen, et al.
Published: (2025)
by: Li, Tseng-Jen, et al.
Published: (2025)
Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow
by: Hsiung, Ching-Lin, et al.
Published: (2025)
by: Hsiung, Ching-Lin, et al.
Published: (2025)
CIMple: Standard-cell SRAM-based CIM with LUT-based split softmax for attention acceleration
by: Ahn, Bas, et al.
Published: (2026)
by: Ahn, Bas, et al.
Published: (2026)
Ouroboros: Wafer-Scale SRAM CIM with Token-Grained Pipelining for Large Language Model Inference
by: Liu, Yiqi, et al.
Published: (2026)
by: Liu, Yiqi, et al.
Published: (2026)
X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators
by: Machetti, Simone, et al.
Published: (2024)
by: Machetti, Simone, et al.
Published: (2024)
A 129FPS Full HD Real-Time Accelerator for 3D Gaussian Splatting
by: Chang, Fang-Chi, et al.
Published: (2026)
by: Chang, Fang-Chi, et al.
Published: (2026)
Scalable and RISC-V Programmable Near-Memory Computing Architectures for Edge Nodes
by: Caon, Michele, et al.
Published: (2024)
by: Caon, Michele, et al.
Published: (2024)
A RISC-V SOC for Terahertz IoT Devices: Implementation and design challenges
by: Zhong, Xinchao, et al.
Published: (2024)
by: Zhong, Xinchao, et al.
Published: (2024)
Enhancing Finite State Machine Design Automation with Large Language Models and Prompt Engineering Techniques
by: Lin, Qun-Kai, et al.
Published: (2025)
by: Lin, Qun-Kai, et al.
Published: (2025)
Be CIM or Be Memory: A Dual-mode-aware DNN Compiler for CIM Accelerators
by: Zhao, Shixin, et al.
Published: (2025)
by: Zhao, Shixin, et al.
Published: (2025)
A Precision-Scalable RISC-V DNN Processor with On-Device Learning Capability at the Extreme Edge
by: Huang, Longwei, et al.
Published: (2023)
by: Huang, Longwei, et al.
Published: (2023)
WebRISC-V: A 64-bit RISC-V Pipeline Simulator for Computer Architecture Classes
by: Giorgi, Roberto, et al.
Published: (2025)
by: Giorgi, Roberto, et al.
Published: (2025)
Efficient yet Accurate End-to-End SC Accelerator Design
by: Li, Meng, et al.
Published: (2024)
by: Li, Meng, et al.
Published: (2024)
PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators
by: Sun, Xiaotian, et al.
Published: (2024)
by: Sun, Xiaotian, et al.
Published: (2024)
Similar Items
-
RCW-CIM: A Digital CIM-based LLM Accelerator with Read-Compute/Write
by: Guo, Yan-Cheng, et al.
Published: (2026) -
A 14uJ/Decision Keyword Spotting Accelerator with In-SRAM-Computing and On Chip Learning for Customization
by: Chiang, Yu-Hsiang, et al.
Published: (2022) -
VitaLLM: A Versatile and Tiny Accelerator for Mixed-Precision LLM Inference on Edge Devices
by: Lin, Zi-Wei, et al.
Published: (2026) -
Mamba-X: An End-to-End Vision Mamba Accelerator for Edge Computing Devices
by: Yoon, Dongho, et al.
Published: (2025) -
ESSR: An 8K@30FPS Super-Resolution Accelerator With Edge Selective Network
by: Hsu, Chih-Chia, et al.
Published: (2025)