RAG-Enhanced Kernel-Based Heuristic Synthesis (RKHS): A Structured Methodology Using Large Language Models for Hardware Design
Fuente:
arXiv
Saved in:
| Main Authors: | Ahir, Shiva, Doboli, Alex |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HYPERHEURIST: A Simulated Annealing-Based Control Framework for LLM-Driven Code Generation in Optimized Hardware Design
by: Ahir, Shiva, et al.
Published: (2026)
by: Ahir, Shiva, et al.
Published: (2026)
Enhancing Scalability in Recommender Systems through Lottery Ticket Hypothesis and Knowledge Distillation-based Neural Network Pruning
by: R, Rajaram, et al.
Published: (2024)
by: R, Rajaram, et al.
Published: (2024)
FaTRQ: Tiered Residual Quantization for LLM Vector Search in Far-Memory-Aware ANNS Systems
by: Zhang, Tianqi, et al.
Published: (2026)
by: Zhang, Tianqi, et al.
Published: (2026)
D2S-FLOW: Automated Parameter Extraction from Datasheets for SPICE Model Generation Using Large Language Models
by: Chen, Hong Cai, et al.
Published: (2025)
by: Chen, Hong Cai, et al.
Published: (2025)
PIFS-Rec: Process-In-Fabric-Switch for Large-Scale Recommendation System Inferences
by: Huo, Pingyi, et al.
Published: (2024)
by: Huo, Pingyi, et al.
Published: (2024)
A Hardware-Aware, Per-Layer Methodology for Post-Training Quantization of Large Language Models
by: Killian, Earl
Published: (2026)
by: Killian, Earl
Published: (2026)
Hardware-based Heterogeneous Memory Management for Large Language Model Inference
by: Hwang, Soojin, et al.
Published: (2025)
by: Hwang, Soojin, et al.
Published: (2025)
SwiftChannel: Algorithm-Hardware Co-Design for Deep Learning-Based 5G Channel Estimation
by: Lyu, Shengzhe, et al.
Published: (2026)
by: Lyu, Shengzhe, et al.
Published: (2026)
Digital Signal Processing from Classical Coherent Systems to Continuous-Variable QKD: A Review of Cross-Domain Techniques, Applications, and Challenges
by: de Sousa, Davi Juvêncio Gomes, et al.
Published: (2025)
by: de Sousa, Davi Juvêncio Gomes, et al.
Published: (2025)
Reconfigurable Intelligent Surfaces for THz: Hardware Design and Signal Processing Challenges
by: Alexandropoulos, George C., et al.
Published: (2024)
by: Alexandropoulos, George C., et al.
Published: (2024)
Pushing the Performance Envelope of DNN-based Recommendation Systems Inference on GPUs
by: Jain, Rishabh, et al.
Published: (2024)
by: Jain, Rishabh, et al.
Published: (2024)
From Natural Language to Silicon: The Representation Bottleneck in LLM Hardware Design
by: Fu, Weimin, et al.
Published: (2026)
by: Fu, Weimin, et al.
Published: (2026)
ARMOR: Robust and Efficient CNN-Based SAR ATR through Model-Hardware Co-Design
by: Wickramasinghe, Sachini, et al.
Published: (2026)
by: Wickramasinghe, Sachini, et al.
Published: (2026)
Hardware-Efficient CNNs: Interleaved Approximate FP32 Multipliers for Kernel Computation
by: Gowda, Bindu G, et al.
Published: (2025)
by: Gowda, Bindu G, et al.
Published: (2025)
LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation
by: Zhang, Zixi, et al.
Published: (2023)
by: Zhang, Zixi, et al.
Published: (2023)
C2HLSC: Leveraging Large Language Models to Bridge the Software-to-Hardware Design Gap
by: Collini, Luca, et al.
Published: (2024)
by: Collini, Luca, et al.
Published: (2024)
EdgeCIM: A Hardware-Software Co-Design for CIM-Based Acceleration of Small Language Models
by: Bazzi, Jinane, et al.
Published: (2026)
by: Bazzi, Jinane, et al.
Published: (2026)
HLStrans: Dataset for C-to-HLS Hardware Code Synthesis
by: Zou, Qingyun, et al.
Published: (2025)
by: Zou, Qingyun, et al.
Published: (2025)
Realizing Hardware-Optimized General Tree-Based Data Structures for Heterogeneous System Classes
by: Biebert, Daniel, et al.
Published: (2025)
by: Biebert, Daniel, et al.
Published: (2025)
Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective
by: Li, Jinhao, et al.
Published: (2024)
by: Li, Jinhao, et al.
Published: (2024)
Marco: Configurable Graph-Based Task Solving and Multi-AI Agents Framework for Hardware Design
by: Ho, Chia-Tung, et al.
Published: (2025)
by: Ho, Chia-Tung, et al.
Published: (2025)
Tools and Methodologies for System-Level Design
by: Bhattacharyya, Shuvra S., et al.
Published: (2025)
by: Bhattacharyya, Shuvra S., et al.
Published: (2025)
TTP: A Hardware-Efficient Design for Precise Prefetching in Ray Tracing
by: Tozlu, Yavuz Selim, et al.
Published: (2026)
by: Tozlu, Yavuz Selim, et al.
Published: (2026)
Energy Efficient Software Hardware CoDesign for Machine Learning: From TinyML to Large Language Models
by: Vahdatpour, Mohammad Saleh, et al.
Published: (2026)
by: Vahdatpour, Mohammad Saleh, et al.
Published: (2026)
Hardware Implementation of Projection-Aggregation Decoders for Reed-Muller Codes
by: Hashemipour-Nazari, Marzieh, et al.
Published: (2024)
by: Hashemipour-Nazari, Marzieh, et al.
Published: (2024)
Towards An Approach to Identify Divergences in Hardware Designs for HPC Workloads
by: Popovici, Doru Thom, et al.
Published: (2025)
by: Popovici, Doru Thom, et al.
Published: (2025)
METRO: A Software-Hardware Co-Design of Interconnections for Spatial DNN Accelerators
by: Wang, Zhao, et al.
Published: (2021)
by: Wang, Zhao, et al.
Published: (2021)
OmniSim: Simulating Hardware with C Speed and RTL Accuracy for High-Level Synthesis Designs
by: Sarkar, Rishov, et al.
Published: (2025)
by: Sarkar, Rishov, et al.
Published: (2025)
Finesse: An Agile Design Framework for Pairing-based Cryptography via Software/Hardware Co-Design
by: Pan, Tianwei, et al.
Published: (2025)
by: Pan, Tianwei, et al.
Published: (2025)
Theseus: Exploring Efficient Wafer-Scale Chip Design for Large Language Models
by: Zhu, Jingchen, et al.
Published: (2024)
by: Zhu, Jingchen, et al.
Published: (2024)
SA-DS: A Dataset for Large Language Model-Driven AI Accelerator Design Generation
by: Vungarala, Deepak, et al.
Published: (2024)
by: Vungarala, Deepak, et al.
Published: (2024)
GenDRAM:Hardware-Software Co-Design of General Platform in DRAM
by: Lu, Tsung-Han, et al.
Published: (2026)
by: Lu, Tsung-Han, et al.
Published: (2026)
Automatic Hardware Pragma Insertion in High-Level Synthesis: A Non-Linear Programming Approach
by: Pouget, Stéphane, et al.
Published: (2024)
by: Pouget, Stéphane, et al.
Published: (2024)
ONNX-to-Hardware Design Flow for Adaptive Neural-Network Inference on FPGAs
by: Manca, Federico, et al.
Published: (2024)
by: Manca, Federico, et al.
Published: (2024)
Design and Analysis of Approximate Hardware Accelerators for VVC Intra Angular Prediction
by: de Fraga, Lucas M. Leipnitz, et al.
Published: (2025)
by: de Fraga, Lucas M. Leipnitz, et al.
Published: (2025)
"Test, Build, Deploy" -- A CI/CD Framework for Open-Source Hardware Designs
by: Deutschbein, Calvin, et al.
Published: (2025)
by: Deutschbein, Calvin, et al.
Published: (2025)
Managing Hybrid Solid-State Drives Using Large Language Models
by: Wei, Qian, et al.
Published: (2025)
by: Wei, Qian, et al.
Published: (2025)
Hardware-Compatible Single-Shot Feasible-Space Heuristics for Solving the Quadratic Assignment Problem
by: Im, Haesol, et al.
Published: (2025)
by: Im, Haesol, et al.
Published: (2025)
Lyra: A Hardware-Accelerated RISC-V Verification Framework with Generative Model-Based Processor Fuzzing
by: Huo, Juncheng, et al.
Published: (2025)
by: Huo, Juncheng, et al.
Published: (2025)
Optimizing High-Level Synthesis Designs with Retrieval-Augmented Large Language Models
by: Xu, Haocheng, et al.
Published: (2024)
by: Xu, Haocheng, et al.
Published: (2024)
Similar Items
-
HYPERHEURIST: A Simulated Annealing-Based Control Framework for LLM-Driven Code Generation in Optimized Hardware Design
by: Ahir, Shiva, et al.
Published: (2026) -
Enhancing Scalability in Recommender Systems through Lottery Ticket Hypothesis and Knowledge Distillation-based Neural Network Pruning
by: R, Rajaram, et al.
Published: (2024) -
FaTRQ: Tiered Residual Quantization for LLM Vector Search in Far-Memory-Aware ANNS Systems
by: Zhang, Tianqi, et al.
Published: (2026) -
D2S-FLOW: Automated Parameter Extraction from Datasheets for SPICE Model Generation Using Large Language Models
by: Chen, Hong Cai, et al.
Published: (2025) -
PIFS-Rec: Process-In-Fabric-Switch for Large-Scale Recommendation System Inferences
by: Huo, Pingyi, et al.
Published: (2024)