Image de couverture de livre

Iceberg: Enhancing HLS Modeling with Synthetic Data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ding, Zijian, Nguyen, Tung, Li, Weikai, Grover, Aditya, Sun, Yizhou, Cong, Jason
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Hardware Architecture
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Efficient Task Transfer for HLS DSE
par: Ding, Zijian, et autres
Publié: (2024)

Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis
par: Li, Weikai, et autres
Publié: (2024)

FlexLLM: Composable HLS Library for Flexible Hybrid LLM Accelerator Design
par: Zhang, Jiahao, et autres
Publié: (2026)

Learning to Compare Hardware Designs for High-Level Synthesis
par: Bai, Yunsheng, et autres
Publié: (2024)

Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis
par: Qin, Zongyue, et autres
Publié: (2024)

Stream-HLS: Towards Automatic Dataflow Acceleration
par: Basalama, Suhail, et autres
Publié: (2025)

AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs
par: Ahmed, Md Rubel, et autres
Publié: (2024)

Report for NSF Workshop on AI for Electronic Design Automation
par: Chen, Deming, et autres
Publié: (2026)

MPM-LLM4DSE: Reaching the Pareto Frontier in HLS with Multimodal Learning and LLM-Driven Exploration
par: Xu, Lei, et autres
Publié: (2026)

InTAR: Inter-Task Auto-Reconfigurable Accelerator Design for High Data Volume Variation in DNNs
par: He, Zifan, et autres
Publié: (2025)

Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis
par: Gai, Jiahao, et autres
Publié: (2025)

GFormer: Accelerating Large Language Models with Optimized Transformers on Gaudi Processors
par: Zhang, Chengming, et autres
Publié: (2024)

Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification
par: Pinckney, Nathaniel, et autres
Publié: (2025)

ForgeBench: A Machine Learning Benchmark Suite and Auto-Generation Framework for Next-Generation HLS Tools
par: Wanna, Andy, et autres
Publié: (2025)

Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective
par: Li, Jinhao, et autres
Publié: (2024)

A Joint Learning Approach to Hardware Caching and Prefetching
par: Yuan, Samuel, et autres
Publié: (2025)

FPGA Co-Design for Efficient N:M Sparse and Quantized Model Inference
par: Hsieh, Fen-Yu, et autres
Publié: (2025)

DeepSeq2: Enhanced Sequential Circuit Learning with Disentangled Representations
par: Khan, Sadaf, et autres
Publié: (2024)

An Efficient Data Reuse with Tile-Based Adaptive Stationary for Transformer Accelerators
par: Li, Tseng-Jen, et autres
Publié: (2025)

Inference-to-complete: A High-performance and Programmable Data-plane Co-processor for Neural-network-driven Traffic Analysis
par: Wen, Dong, et autres
Publié: (2024)

A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
par: Zhang, Shichang, et autres
Publié: (2023)

Histogram-Equalized Quantization for logic-gated Residual Neural Networks
par: Nguyen, Van Thien, et autres
Publié: (2025)

MOGNET: A Mux-residual quantized Network leveraging Online-Generated weights
par: Nguyen, Van Thien, et autres
Publié: (2025)

LLM-VeriPPA: Power, Performance, and Area Optimization aware Verilog Code Generation with Large Language Models
par: Thorat, Kiran, et autres
Publié: (2025)

Using LLM such as ChatGPT for Designing and Implementing a RISC Processor: Execution,Challenges and Limitations
par: Hossain, Shadeeb, et autres
Publié: (2024)

HLStrans: Dataset for C-to-HLS Hardware Code Synthesis
par: Zou, Qingyun, et autres
Publié: (2025)

MING: An Automated CNN-to-Edge MLIR HLS framework
par: Bi, Jiahong, et autres
Publié: (2026)

NAS-Cap: Deep-Learning Driven 3-D Capacitance Extraction with Neural Architecture Search and Data Augmentation
par: Li, Haoyuan, et autres
Publié: (2024)

EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture
par: Duan, Bowen, et autres
Publié: (2026)

Learning Generalizable Program and Architecture Representations for Performance Modeling
par: Li, Lingda, et autres
Publié: (2023)

LLM-USO: Large Language Model-based Universal Sizing Optimizer
par: S, Karthik Somayaji N., et autres
Publié: (2025)

Efficient Tabular Data Preprocessing of ML Pipelines
par: Zhu, Yu, et autres
Publié: (2024)

CAMformer: Associative Memory is All You Need
par: Molom-Ochir, Tergel, et autres
Publié: (2025)

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection
par: Li, Yuqi, et autres
Publié: (2025)

SOLE: Hardware-Software Co-design of Softmax and LayerNorm for Efficient Transformer Inference
par: Wang, Wenxun, et autres
Publié: (2025)

Beyond Tokens: Enhancing RTL Quality Estimation via Structural Graph Learning
par: Liu, Yi, et autres
Publié: (2025)

Data-Rate-Aware High-Speed CNN Inference on FPGAs
par: Habermann, Tobias, et autres
Publié: (2026)

Tawa: Automatic Warp Specialization for Modern GPUs with Asynchronous References
par: Chen, Hongzheng, et autres
Publié: (2025)

LLM-DSE: Searching Accelerator Parameters with LLM Agents
par: Wang, Hanyu, et autres
Publié: (2025)

HLS-Eval: A Benchmark and Framework for Evaluating LLMs on High-Level Synthesis Design Tasks
par: Abi-Karam, Stefan, et autres
Publié: (2025)