Cover Image

DECA: A Near-Core LLM Decompression Accelerator Grounded on a 3D Roofline Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gerogiannis, Gerasimos, Eyerman, Stijn, Georganas, Evangelos, Heirman, Wim, Torrellas, Josep
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

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

TROOP: At-the-Roofline Performance for Vector Processors on Low Operational Intensity Workloads
by: Purayil, Navaneeth Kunhi, et al.
Published: (2025)

RooflineBench: A Benchmarking Framework for On-Device LLMs via Roofline Analysis
by: Bi, Zhen, et al.
Published: (2026)

DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency
by: Stojkovic, Jovan, et al.
Published: (2024)

Proxima: Near-storage Acceleration for Graph-based Approximate Nearest Neighbor Search in 3D NAND
by: Xu, Weihong, et al.
Published: (2023)

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

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

D-Legion: A Scalable Many-Core Architecture for Accelerating Matrix Multiplication in Quantized LLMs
by: Abdelmaksoud, Ahmed J., et al.
Published: (2026)

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

A3D-MoE: Acceleration of Large Language Models with Mixture of Experts via 3D Heterogeneous Integration
by: Huang, Wei-Hsing, et al.
Published: (2025)

Quantum Hardware Roofline: Evaluating the Impact of Gate Expressivity on Quantum Processor Design
by: Kalloor, Justin, et al.
Published: (2024)

GEMM-GS: Accelerating 3D Gaussian Splatting on Tensor Cores with GEMM-Compatible Blending
by: Li, Haomin, et al.
Published: (2026)

SpeedLLM: An FPGA Co-design of Large Language Model Inference Accelerator
by: Wang, Peipei, et al.
Published: (2025)

Accelerating Multi-Scale Deformable Attention Using Near-Memory-Processing Architecture
by: Li, Huize, et al.
Published: (2026)

VitaLLM: A Versatile, Ultra-Compact Ternary LLM Accelerator with Dependency-Aware Scheduling
by: Lin, Zi-Wei, et al.
Published: (2026)

VitaLLM: A Versatile and Tiny Accelerator for Mixed-Precision LLM Inference on Edge Devices
by: Lin, Zi-Wei, et al.
Published: (2026)

PIUMA: Programmable Integrated Unified Memory Architecture
by: Aananthakrishnan, Sriram, et al.
Published: (2020)

EdgeLLM: A Highly Efficient CPU-FPGA Heterogeneous Edge Accelerator for Large Language Models
by: Huang, Mingqiang, et al.
Published: (2024)

NX-CGRA: A Programmable Hardware Accelerator for Core Transformer Algorithms on Edge Devices
by: Prasad, Rohit
Published: (2025)

Ironman: Accelerating Oblivious Transfer Extension for Privacy-Preserving AI with Near-Memory Processing
by: Lin, Chenqi, et al.
Published: (2025)

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics
by: Morsali, Mehrdad, et al.
Published: (2025)

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

VersaQ-3D: A Reconfigurable Accelerator Enabling Feed-Forward and Generalizable 3D Reconstruction via Versatile Quantization
by: Zhang, Yipu, et al.
Published: (2026)

Arcalis: Accelerating Remote Procedure Calls Using a Lightweight Near-Cache Solution
by: Umeike, Johnson, et al.
Published: (2026)

Efficient Kernel Mapping and Comprehensive System Evaluation of LLM Acceleration on a CGLA
by: Ando, Takuto, et al.
Published: (2025)

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

Towards Efficient and Accurate Detection of On-Chip Fail-Slow Failures for Many-Core Accelerators
by: Wu, Junchi, et al.
Published: (2025)

FLICKER: A Fine-Grained Contribution-Aware Accelerator for Real-Time 3D Gaussian Splatting
by: Ou, Wenhui, et al.
Published: (2026)

RCW-CIM: A Digital CIM-based LLM Accelerator with Read-Compute/Write
by: Guo, Yan-Cheng, et al.
Published: (2026)

A Switch-Centric In-Network Architecture for Accelerating LLM Inference in Shared-Memory Network
by: Jiang, Aojie, et al.
Published: (2026)

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

Titanus: Enabling KV Cache Pruning and Quantization On-the-Fly for LLM Acceleration
by: Chen, Peilin, et al.
Published: (2025)

NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing
by: Heo, Guseul, et al.
Published: (2024)

FAST-Prefill: FPGA Accelerated Sparse Attention for Long Context LLM Prefill
by: Jayanth, Rakshith, et al.
Published: (2026)

SAIL: SRAM-Accelerated LLM Inference System with Lookup-Table-based GEMV
by: Zhang, Jingyao, et al.
Published: (2025)

PRIMAL: Processing-In-Memory Based Low-Rank Adaptation for LLM Inference Accelerator
by: Chong, Yue Jiet, et al.
Published: (2026)

FusionCIM: Accelerating LLM Inference with Fusion-Driven Computing-in-Memory Architecture
by: Xuan, Zihao, et al.
Published: (2026)

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

NVLLM: A 3D NAND-Centric Architecture Enabling Edge on-Device LLM Inference
by: Hao, Mingbo, et al.
Published: (2026)

Mapping Space Exploration for Multi-Chiplet Accelerators Targeting LLM Inference Serving Workloads
by: Li, Boyu, et al.
Published: (2025)