CHIME: Chiplet-based Heterogeneous Near-Memory Acceleration for Edge Multimodal LLM Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Yanru, Tian, Runyang, Pan, Yue, Li, Zheyu, Xu, Weihong, Rosing, Tajana |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GEN-Graph: Heterogeneous PIM Accelerator for General Computational Patterns in Graph-based Dynamic Programming
by: Chen, Yanru, et al.
Published: (2026)
by: Chen, Yanru, et al.
Published: (2026)
RAPID-Graph: Recursive All-Pairs Shortest Paths Using Processing-in-Memory for Dynamic Programming on Graphs
by: Chen, Yanru, et al.
Published: (2025)
by: Chen, Yanru, et al.
Published: (2025)
SLIM: A Heterogeneous Accelerator for Edge Inference of Sparse Large Language Model via Adaptive Thresholding
by: Xu, Weihong, et al.
Published: (2025)
by: Xu, Weihong, et al.
Published: (2025)
HDDB: Efficient In-Storage SQL Database Search Using Hyperdimensional Computing on Ferroelectric NAND Flash
by: Zhao, Quanling, et al.
Published: (2025)
by: Zhao, Quanling, et al.
Published: (2025)
GenDRAM:Hardware-Software Co-Design of General Platform in DRAM
by: Lu, Tsung-Han, et al.
Published: (2026)
by: Lu, Tsung-Han, et al.
Published: (2026)
Proxima: Near-storage Acceleration for Graph-based Approximate Nearest Neighbor Search in 3D NAND
by: Xu, Weihong, et al.
Published: (2023)
by: Xu, Weihong, et al.
Published: (2023)
Fast-OverlaPIM: A Fast Overlap-driven Mapping Framework for Processing In-Memory Neural Network Acceleration
by: Wang, Xuan, et al.
Published: (2024)
by: Wang, Xuan, et al.
Published: (2024)
FaTRQ: Tiered Residual Quantization for LLM Vector Search in Far-Memory-Aware ANNS Systems
by: Zhang, Tianqi, et al.
Published: (2026)
by: Zhang, Tianqi, et al.
Published: (2026)
SpANNS: Optimizing Approximate Nearest Neighbor Search for Sparse Vectors Using Near Memory Processing
by: Zhang, Tianqi, et al.
Published: (2026)
by: Zhang, Tianqi, et al.
Published: (2026)
PIM-FW: Hardware-Software Co-Design of All-pairs Shortest Paths in DRAM
by: Lu, Tsung-Han, et al.
Published: (2025)
by: Lu, Tsung-Han, et al.
Published: (2025)
HAVEN: High-Bandwidth Flash Augmented Vector Engine for Large-Scale Approximate Nearest-Neighbor Search Acceleration
by: Hsu, Po-Kai, et al.
Published: (2026)
by: Hsu, Po-Kai, et al.
Published: (2026)
FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing
by: Yang, Haichao, et al.
Published: (2024)
by: Yang, Haichao, et al.
Published: (2024)
PICNIC: Silicon Photonic Interconnected Chiplets with Computational Network and In-memory Computing for LLM Inference Acceleration
by: Chong, Yue Jiet, et al.
Published: (2025)
by: Chong, Yue Jiet, et al.
Published: (2025)
Hybrid SLC-MLC RRAM Mixed-Signal Processing-in-Memory Architecture for Transformer Acceleration via Gradient Redistribution
by: Song, Chang Eun, et al.
Published: (2025)
by: Song, Chang Eun, et al.
Published: (2025)
Efficient Open Modification Spectral Library Searching in High-Dimensional Space with Multi-Level-Cell Memory
by: Fan, Keming, et al.
Published: (2024)
by: Fan, Keming, et al.
Published: (2024)
Mapping Space Exploration for Multi-Chiplet Accelerators Targeting LLM Inference Serving Workloads
by: Li, Boyu, et al.
Published: (2025)
by: Li, Boyu, et al.
Published: (2025)
Chiplet-Gym: Optimizing Chiplet-based AI Accelerator Design with Reinforcement Learning
by: Mishty, Kaniz, et al.
Published: (2024)
by: Mishty, Kaniz, et al.
Published: (2024)
SpecPCM: A Low-power PCM-based In-Memory Computing Accelerator for Full-stack Mass Spectrometry Analysis
by: Fan, Keming, et al.
Published: (2024)
by: Fan, Keming, et al.
Published: (2024)
U-SWIM: Universal Selective Write-Verify for Computing-in-Memory Neural Accelerators
by: Yan, Zheyu, et al.
Published: (2023)
by: Yan, Zheyu, et al.
Published: (2023)
Clo-HDnn: A 4.66 TFLOPS/W and 3.78 TOPS/W Continual On-Device Learning Accelerator with Energy-efficient Hyperdimensional Computing via Progressive Search
by: Song, Chang Eun, et al.
Published: (2025)
by: Song, Chang Eun, et al.
Published: (2025)
Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM
by: Yu, Zhongkai, et al.
Published: (2024)
by: Yu, Zhongkai, et al.
Published: (2024)
P3-LLM: An Integrated NPU-PIM Accelerator for Edge LLM Inference Using Hybrid Numerical Formats
by: Chen, Yuzong, et al.
Published: (2025)
by: Chen, Yuzong, et al.
Published: (2025)
Sangam: Chiplet-Based DRAM-PIM Accelerator with CXL Integration for LLM Inferencing
by: Kiyawat, Khyati, et al.
Published: (2025)
by: Kiyawat, Khyati, et al.
Published: (2025)
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)
RapidOMS: FPGA-based Open Modification Spectral Library Searching with HD Computing
by: Pinge, Sumukh, et al.
Published: (2024)
by: Pinge, Sumukh, et al.
Published: (2024)
HPIM: Heterogeneous Processing-In-Memory-based Accelerator for Large Language Models Inference
by: Duan, Cenlin, et al.
Published: (2025)
by: Duan, Cenlin, et al.
Published: (2025)
Hemlet: A Heterogeneous Compute-in-Memory Chiplet Architecture for Vision Transformers with Group-Level Parallelism
by: Wang, Cong, et al.
Published: (2025)
by: Wang, Cong, et al.
Published: (2025)
SHIELD: A Segmented Hierarchical Memory Architecture for Energy-Efficient LLM Inference on Edge NPUs
by: Zhang, Jintao, et al.
Published: (2026)
by: Zhang, Jintao, et al.
Published: (2026)
Monad: Towards Cost-effective Specialization for Chiplet-based Spatial Accelerators
by: Hao, Xiaochen, et al.
Published: (2023)
by: Hao, Xiaochen, et al.
Published: (2023)
PRIMAL: Processing-In-Memory Based Low-Rank Adaptation for LLM Inference Accelerator
by: Chong, Yue Jiet, et al.
Published: (2026)
by: Chong, Yue Jiet, et al.
Published: (2026)
Designing Efficient LLM Accelerators for Edge Devices
by: Haris, Jude, et al.
Published: (2024)
by: Haris, Jude, et al.
Published: (2024)
When Small Variations Become Big Failures: Reliability Challenges in Compute-in-Memory Neural Accelerators
by: Qin, Yifan, et al.
Published: (2026)
by: Qin, Yifan, et al.
Published: (2026)
RLPlanner: Reinforcement Learning based Floorplanning for Chiplets with Fast Thermal Analysis
by: Duan, Yuanyuan, et al.
Published: (2023)
by: Duan, Yuanyuan, et al.
Published: (2023)
COBRA: Algorithm-Architecture Co-optimized Binary Transformer Accelerator for Edge Inference
by: Qiao, Ye, et al.
Published: (2025)
by: Qiao, Ye, et al.
Published: (2025)
Challenges and Opportunities to Enable Large-Scale Computing via Heterogeneous Chiplets
by: Yang, Zhuoping, et al.
Published: (2023)
by: Yang, Zhuoping, et al.
Published: (2023)
FSL-HDnn: A 40 nm Few-shot On-Device Learning Accelerator with Integrated Feature Extraction and Hyperdimensional Computing
by: Xu, Weihong, et al.
Published: (2025)
by: Xu, Weihong, et al.
Published: (2025)
Atleus: Accelerating Transformers on the Edge Enabled by 3D Heterogeneous Manycore Architectures
by: Dhingra, Pratyush, et al.
Published: (2025)
by: Dhingra, Pratyush, et al.
Published: (2025)
FusionCIM: Accelerating LLM Inference with Fusion-Driven Computing-in-Memory Architecture
by: Xuan, Zihao, et al.
Published: (2026)
by: Xuan, Zihao, et al.
Published: (2026)
SigmaQuant: Hardware-Aware Heterogeneous Quantization Method for Edge DNN Inference
by: Liu, Qunyou, et al.
Published: (2026)
by: Liu, Qunyou, et al.
Published: (2026)
EdgeLLM: A Highly Efficient CPU-FPGA Heterogeneous Edge Accelerator for Large Language Models
by: Huang, Mingqiang, et al.
Published: (2024)
by: Huang, Mingqiang, et al.
Published: (2024)
Similar Items
-
GEN-Graph: Heterogeneous PIM Accelerator for General Computational Patterns in Graph-based Dynamic Programming
by: Chen, Yanru, et al.
Published: (2026) -
RAPID-Graph: Recursive All-Pairs Shortest Paths Using Processing-in-Memory for Dynamic Programming on Graphs
by: Chen, Yanru, et al.
Published: (2025) -
SLIM: A Heterogeneous Accelerator for Edge Inference of Sparse Large Language Model via Adaptive Thresholding
by: Xu, Weihong, et al.
Published: (2025) -
HDDB: Efficient In-Storage SQL Database Search Using Hyperdimensional Computing on Ferroelectric NAND Flash
by: Zhao, Quanling, et al.
Published: (2025) -
GenDRAM:Hardware-Software Co-Design of General Platform in DRAM
by: Lu, Tsung-Han, et al.
Published: (2026)