Cover Image

FLAASH: Flexible Accelerator Architecture for Sparse High-Order Tensor Contraction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kulp, Gabriel, Ensinger, Andrew, Chen, Lizhong
Format:	Preprint
Published:	2024
Subjects:	Hardware Architecture Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ML For Hardware Design Interpretability: Challenges and Opportunities
by: Baartmans, Raymond, et al.
Published: (2025)

Accelerating Sparse Graph Neural Networks with Tensor Core Optimization
by: Wu, Ka Wai
Published: (2024)

Periodic Online Testing for Sparse Systolic Tensor Arrays
by: Peltekis, Christodoulos, et al.
Published: (2025)

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

HaShiFlex: A High-Throughput Hardened Shifter DNN Accelerator with Fine-Tuning Flexibility
by: Herbst, Jonathan, et al.
Published: (2025)

Efficient In-Memory Acceleration of Sparse Block Diagonal LLMs
by: de Lima, João Paulo Cardoso, et al.
Published: (2025)

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

Tender: Accelerating Large Language Models via Tensor Decomposition and Runtime Requantization
by: Lee, Jungi, et al.
Published: (2024)

COBRA: Algorithm-Architecture Co-optimized Binary Transformer Accelerator for Edge Inference
by: Qiao, Ye, et al.
Published: (2025)

Accelerating Computer Architecture Simulation through Machine Learning
by: Ali, Wajid, et al.
Published: (2024)

iEEG Seizure Detection with a Sparse Hyperdimensional Computing Accelerator
by: Cuyckens, Stef, et al.
Published: (2025)

Enabling Unstructured Sparse Acceleration on Structured Sparse Accelerators
by: Jeong, Geonhwa, et al.
Published: (2024)

ESACT: An End-to-End Sparse Accelerator for Compute-Intensive Transformers via Local Similarity
by: Liu, Hongxiang, et al.
Published: (2025)

AI Accelerators for Large Language Model Inference: Architecture Analysis and Scaling Strategies
by: Sharma, Amit
Published: (2025)

Atleus: Accelerating Transformers on the Edge Enabled by 3D Heterogeneous Manycore Architectures
by: Dhingra, Pratyush, et al.
Published: (2025)

DG-RePlAce: A Dataflow-Driven GPU-Accelerated Analytical Global Placement Framework for Machine Learning Accelerators
by: Kahng, Andrew B., et al.
Published: (2024)

LLM-Aided Compilation for Tensor Accelerators
by: Hong, Charles, et al.
Published: (2024)

Toward Attention-based TinyML: A Heterogeneous Accelerated Architecture and Automated Deployment Flow
by: Wiese, Philip, et al.
Published: (2024)

Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference
by: Wolters, Christopher, et al.
Published: (2024)

FlexiSAGA: A Flexible Systolic Array GEMM Accelerator for Sparse and Dense Processing
by: Müller, Mika Markus, et al.
Published: (2025)

The AetherFloat Family: Block-Scale-Free Quad-Radix Floating-Point Architectures for AI Accelerators
by: Morisaki, Keita
Published: (2026)

COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning
by: Sudusinghe, Chamika, et al.
Published: (2025)

LEGO: Spatial Accelerator Generation and Optimization for Tensor Applications
by: Lin, Yujun, et al.
Published: (2025)

InsightBoard: An Interactive Multi-Metric Visualization and Fairness Analysis Plugin for TensorBoard
by: Chen, Ray Zeyao, et al.
Published: (2026)

FASQ: Flexible Accelerated Subspace Quantization for Calibration-Free LLM Compression
by: Qiao, Ye, et al.
Published: (2026)

Dynamic Sparse Attention: Access Patterns and Architecture
by: Levy, Noam
Published: (2026)

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression
by: Ning, Shupeng, et al.
Published: (2025)

Architectural Implications of Neural Network Inference for High Data-Rate, Low-Latency Scientific Applications
by: Weng, Olivia, et al.
Published: (2024)

InTAR: Inter-Task Auto-Reconfigurable Accelerator Design for High Data Volume Variation in DNNs
by: He, Zifan, et al.
Published: (2025)

Efficient Arbitrary Precision Acceleration for Large Language Models on GPU Tensor Cores
by: Ma, Shaobo, et al.
Published: (2024)

APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration
by: Ma, Shaobo, et al.
Published: (2025)

BBS: Bi-directional Bit-level Sparsity for Deep Learning Acceleration
by: Chen, Yuzong, et al.
Published: (2024)

FAMOUS: Flexible Accelerator for the Attention Mechanism of Transformer on UltraScale+ FPGAs
by: Kabir, Ehsan, et al.
Published: (2024)

GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
by: You, Haoran, et al.
Published: (2021)

Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator
by: Ramachandran, Akshat, et al.
Published: (2025)

BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration
by: Chen, Yuzong, et al.
Published: (2024)

TeLLMe: An Energy-Efficient Ternary LLM Accelerator for Prefilling and Decoding on Edge FPGAs
by: Qiao, Ye, et al.
Published: (2025)

Accelerating PoT Quantization on Edge Devices
by: Saha, Rappy, et al.
Published: (2024)

L3: DIMM-PIM Integrated Architecture and Coordination for Scalable Long-Context LLM Inference
by: Liu, Qingyuan, et al.
Published: (2025)

CHIME: Chiplet-based Heterogeneous Near-Memory Acceleration for Edge Multimodal LLM Inference
by: Chen, Yanru, et al.
Published: (2025)