Cover Image

FuseFPS: Accelerating Farthest Point Sampling with Fusing KD-tree Construction for Point Clouds

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Han, Meng, Wang, Liang, Xiao, Limin, Zhang, Hao, Zhang, Chenhao, Xie, Xilong, Zheng, Shuai, Dong, Jin
Format:	Preprint
Published:	2023
Subjects:	Hardware Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Pointer: An Energy-Efficient ReRAM-based Point Cloud Recognition Accelerator with Inter-layer and Intra-layer Optimizations
by: Zhang, Qijun, et al.
Published: (2024)

FineQ: Software-Hardware Co-Design for Low-Bit Fine-Grained Mixed-Precision Quantization of LLMs
by: Xie, Xilong, et al.
Published: (2025)

LoopTree: Exploring the Fused-layer Dataflow Accelerator Design Space
by: Gilbert, Michael, et al.
Published: (2024)

FuseMax: Leveraging Extended Einsums to Optimize Attention Accelerator Design
by: Nayak, Nandeeka, et al.
Published: (2024)

ReDas: A Lightweight Architecture for Supporting Fine-Grained Reshaping and Multiple Dataflows on Systolic Array
by: Han, Meng, et al.
Published: (2023)

FPGA-Accelerated Correspondence-free Point Cloud Registration with PointNet Features
by: Sugiura, Keisuke, et al.
Published: (2024)

Stream: Design Space Exploration of Layer-Fused DNNs on Heterogeneous Dataflow Accelerators
by: Symons, Arne, et al.
Published: (2022)

L-PCN: A Point Cloud Accelerator Exploiting Spatial Locality through Octree-based Islandization
by: Gao, Yiming, et al.
Published: (2026)

FPPS: An FPGA-Based Point Cloud Processing System
by: Zhou, Xiaofeng, et al.
Published: (2026)

PC2IM: An Efficient In-Memory Computing Accelerator for 3D Point Cloud
by: Wang, Dengfeng, et al.
Published: (2026)

Voxel-CIM: An Efficient Compute-in-Memory Accelerator for Voxel-based Point Cloud Neural Networks
by: Lin, Xipeng, et al.
Published: (2024)

Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms
by: Colleman, Steven, et al.
Published: (2024)

3D Stack In-Sensor-Computing (3DS-ISC): Accelerating Time-Surface Construction for Neuromorphic Event Cameras
by: Shang, Hongyang, et al.
Published: (2025)

A Hybrid-Domain Floating-Point Compute-in-Memory Architecture for Efficient Acceleration of High-Precision Deep Neural Networks
by: Yi, Zhiqiang, et al.
Published: (2025)

BBAL: A Bidirectional Block Floating Point-Based Quantisation Accelerator for Large Language Models
by: Han, Xiaomeng, et al.
Published: (2025)

PIMfused: Near-Bank DRAM-PIM with Fused-layer Dataflow for CNN Data Transfer Optimization
by: Yang, Simei, et al.
Published: (2025)

The Quest for Reliable AI Accelerators: Cross-Layer Evaluation and Design Optimization
by: Li, Meng, et al.
Published: (2026)

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

Fused-Tiled Layers: Minimizing Data Movement on RISC-V SoCs with Software-Managed Caches
by: Jung, Victor J. B., et al.
Published: (2025)

Accelerating Elliptic Curve Point Additions on Versal AI Engine for Multi-scalar Multiplication
by: Ohno, Ayumi, et al.
Published: (2025)

PointODE: Lightweight Point Cloud Learning with Neural Ordinary Differential Equations on Edge
by: Sugiura, Keisuke, et al.
Published: (2025)

DiffuSE: Cross-Layer Design Space Exploration of DNN Accelerator via Diffusion-Driven Optimization
by: Ren, Yi, et al.
Published: (2025)

H-FA: A Hybrid Floating-Point and Logarithmic Approach to Hardware Accelerated FlashAttention
by: Alexandridis, Kosmas, et al.
Published: (2025)

MXFormer: A Microscaling Floating-Point Charge-Trap Transistor Compute-in-Memory Transformer Accelerator
by: Karfakis, George, et al.
Published: (2026)

Aging Aware Adaptive Voltage Scaling for Reliable and Efficient AI Accelerators
by: Xie, Tong, et al.
Published: (2026)

From Quarter to All: Accelerating Speculative LLM Decoding via Floating-Point Exponent Remapping and Parameter Sharing
by: Zhao, Yushu, et al.
Published: (2025)

Low-Cost FlashAttention with Fused Exponential and Multiplication Hardware Operators
by: Alexandridis, Kosmas, et al.
Published: (2025)

Exploring and Exploiting Runtime Reconfigurable Floating Point Precision in Scientific Computing: a Case Study for Solving PDEs
by: Hao, Cong "Callie"
Published: (2024)

AccelCIM: Systematic Dataflow Exploration for SRAM Compute-in-Memory Accelerator
by: Xue, Chenhao, et al.
Published: (2026)

SystolicAttention: Fusing FlashAttention within a Single Systolic Array
by: Lin, Jiawei, et al.
Published: (2025)

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

Hardware-Software Co-design for 3D-DRAM-based LLM Serving Accelerator
by: Li, Cong, et al.
Published: (2026)

SSRESF: Sensitivity-aware Single-particle Radiation Effects Simulation Framework in SoC Platforms based on SVM Algorithm
by: Liu, Meng, et al.
Published: (2024)

A Full-Stack Performance Evaluation Infrastructure for 3D-DRAM-based LLM Accelerators
by: Li, Cong, et al.
Published: (2026)

Efficient yet Accurate End-to-End SC Accelerator Design
by: Li, Meng, et al.
Published: (2024)

i-FlatCam: A 253 FPS, 91.49 $μ$J/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR
by: Zhao, Yang, et al.
Published: (2022)

NOVA: Coordinated Test Selection and Bayes-Optimized Constrained Randomization for Accelerated Coverage Closure
by: Peng, Weijie, et al.
Published: (2025)

Accelerating Mini-batch HGNN Training by Reducing CUDA Kernels
by: Wu, Meng, et al.
Published: (2024)

An Efficient Sparse Hardware Accelerator for Spike-Driven Transformer
by: Li, Zhengke, et al.
Published: (2025)

A 129FPS Full HD Real-Time Accelerator for 3D Gaussian Splatting
by: Chang, Fang-Chi, et al.
Published: (2026)