Cover Image

Focus: A Streaming Concentration Architecture for Efficient Vision-Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wei, Chiyue, Guo, Cong, Zhang, Junyao, Shan, Haoxuan, Xu, Yifan, Zhang, Ziyue, Liu, Yudong, Wang, Qinsi, Zhou, Changchun, Li, Hai "Helen", Chen, Yiran
Format:	Preprint
Published:	2025
Subjects:	Hardware Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture
by: Duan, Bowen, et al.
Published: (2026)

Platinum: Path-Adaptable LUT-Based Accelerator Tailored for Low-Bit Weight Matrix Multiplication
by: Shan, Haoxuan, et al.
Published: (2025)

Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression
by: Cheng, Feng, et al.
Published: (2025)

FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing
by: Fu, Yuzhe, et al.
Published: (2025)

Transitive Array: An Efficient GEMM Accelerator with Result Reuse
by: Guo, Cong, et al.
Published: (2025)

Prosperity: Accelerating Spiking Neural Networks via Product Sparsity
by: Wei, Chiyue, et al.
Published: (2025)

Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks
by: Wei, Chiyue, et al.
Published: (2025)

Reconfigurable Stream Network Architecture
by: Wang, Chengyue, et al.
Published: (2024)

CAMformer: Associative Memory is All You Need
by: Molom-Ochir, Tergel, et al.
Published: (2025)

ModSRAM: Algorithm-Hardware Co-Design for Large Number Modular Multiplication in SRAM
by: Ku, Jonathan, et al.
Published: (2024)

AutoRAC: Automated Processing-in-Memory Accelerator Design for Recommender Systems
by: Cheng, Feng, et al.
Published: (2025)

A Composable Dynamic Sparse Dataflow Architecture for Efficient Event-based Vision Processing on FPGA
by: Gao, Yizhao, et al.
Published: (2024)

Stream-HLS: Towards Automatic Dataflow Acceleration
by: Basalama, Suhail, 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)

A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models
by: Guo, Cong, et al.
Published: (2024)

NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data Processing
by: Wang, Yitu, et al.
Published: (2023)

Potamoi: Accelerating Neural Rendering via a Unified Streaming Architecture
by: Feng, Yu, et al.
Published: (2024)

M2XFP: A Metadata-Augmented Microscaling Data Format for Efficient Low-bit Quantization
by: Hu, Weiming, et al.
Published: (2026)

LaZagna: An Open-Source Framework for Flexible 3D FPGA Architectural Exploration
by: Youssef, Ismael, et al.
Published: (2025)

Ouroboros: Wafer-Scale SRAM CIM with Token-Grained Pipelining for Large Language Model Inference
by: Liu, Yiqi, et al.
Published: (2026)

M-ANT: Efficient Low-bit Group Quantization for LLMs via Mathematically Adaptive Numerical Type
by: Hu, Weiming, et al.
Published: (2025)

FETTA: Flexible and Efficient Hardware Accelerator for Tensorized Neural Network Training
by: Lu, Jinming, et al.
Published: (2025)

StreamGrid: Streaming Point Cloud Analytics via Compulsory Splitting and Deterministic Termination
by: Feng, Yu, et al.
Published: (2025)

Implementing and Optimizing the Scaled Dot-Product Attention on Streaming Dataflow
by: Sohn, Gina, et al.
Published: (2024)

In-Memory Computing Architecture for Efficient Hardware Security
by: Ajmi, Hala, et al.
Published: (2024)

Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM
by: Yu, Zhongkai, et al.
Published: (2024)

Theseus: Exploring Efficient Wafer-Scale Chip Design for Large Language Models
by: Zhu, Jingchen, et al.
Published: (2024)

A Dense and Efficient Instruction Set Architecture Encoding
by: Maroun, Emad Jacob
Published: (2025)

Rethinking Compute Substrates for 3D-Stacked Near-Memory LLM Decoding: Microarchitecture-Scheduling Co-Design
by: Ai, Chenyang, et al.
Published: (2026)

Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers
by: Zhang, Junyao, et al.
Published: (2024)

StreamTensor: Make Tensors Stream in Dataflow Accelerators for LLMs
by: Ye, Hanchen, et al.
Published: (2025)

RePart: Efficient Hypergraph Partitioning with Logic Replication Optimization for Multi-FPGA System
by: Fu, Zizhuo, et al.
Published: (2026)

Efficient Sparse Processing-in-Memory Architecture (ESPIM) for Machine Learning Inference
by: He, Mingxuan, et al.
Published: (2024)

LlamaF: An Efficient Llama2 Architecture Accelerator on Embedded FPGAs
by: Xu, Han, et al.
Published: (2024)

LoopLynx: A Scalable Dataflow Architecture for Efficient LLM Inference
by: Zheng, Jianing, et al.
Published: (2025)

Sparsity-Aware Streaming SNN Accelerator with Output-Channel Dataflow for Automatic Modulation Classification
by: Yang, Kuilian, et al.
Published: (2026)

DataMaestro: A Versatile and Efficient Data Streaming Engine Bringing Decoupled Memory Access To Dataflow Accelerators
by: Yi, Xiaoling, et al.
Published: (2025)

End-to-End Transformer Acceleration Through Processing-in-Memory Architectures
by: Yang, Xiaoxuan, et al.
Published: (2025)

XtraMAC: An Efficient MAC Architecture for Mixed-Precision LLM Inference on FPGA
by: Yu, Feng, et al.
Published: (2026)

Energy Efficient LSTM Accelerators for Embedded FPGAs through Parameterised Architecture Design
by: Qian, Chao, et al.
Published: (2026)