Image de couverture de livre

Mixed-Precision Conjugate Gradient Solvers with RL-Driven Precision Tuning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Chen, Xinye
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Precision autotuning for linear solvers via contextual bandit-based RL
par: Carson, Erin, et autres
Publié: (2026)

Pychop: Emulating Low-Precision Arithmetic in Numerical Methods and Neural Networks
par: Carson, Erin, et autres
Publié: (2025)

A Metric Driven Approach to Mixed Precision Training
par: Rasquinha, Mitchelle, et autres
Publié: (2024)

Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning
par: Chen, Jun, et autres
Publié: (2023)

MPX: Mixed Precision Training for JAX
par: Gräfe, Alexander, et autres
Publié: (2025)

OMPQ: Orthogonal Mixed Precision Quantization
par: Ma, Yuexiao, et autres
Publié: (2021)

Balancing Fidelity and Plasticity: Aligning Mixed-Precision Fine-Tuning with Linguistic Hierarchies
par: Zhou, Changhai, et autres
Publié: (2025)

From Imitation to Refinement -- Residual RL for Precise Assembly
par: Ankile, Lars, et autres
Publié: (2024)

Learning Sparse Approximate Inverse Preconditioners for Conjugate Gradient Solvers on GPUs
par: Yang, Zherui, et autres
Publié: (2025)

Enhancing Trustworthiness with Mixed Precision: Benchmarks, Opportunities, and Challenges
par: Lu, Guanxi, et autres
Publié: (2025)

Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators
par: Herb, Julius, et autres
Publié: (2025)

STaMP: Sequence Transformation and Mixed Precision for Low-Precision Activation Quantization
par: Federici, Marco, et autres
Publié: (2025)

Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation
par: Yuan, Jinsheng, et autres
Publié: (2024)

OTARo: Once Tuning for All Precisions toward Robust On-Device LLMs
par: Chen, Shaoyuan, et autres
Publié: (2025)

Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers
par: Tao, Wei, et autres
Publié: (2024)

AutoQRA: Joint Optimization of Mixed-Precision Quantization and Low-rank Adapters for Efficient LLM Fine-Tuning
par: Zhou, Changhai, et autres
Publié: (2026)

TMPDiff: Temporal Mixed-Precision for Diffusion Models
par: Lewandowski, Basile, et autres
Publié: (2026)

Efficient Mixed Precision Quantization in Graph Neural Networks
par: Moustafa, Samir, et autres
Publié: (2025)

MoPEQ: Mixture of Mixed Precision Quantized Experts
par: Chitty-Venkata, Krishna Teja, et autres
Publié: (2025)

AMED: Automatic Mixed-Precision Quantization for Edge Devices
par: Kimhi, Moshe, et autres
Publié: (2022)

SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
par: Huang, Wei, et autres
Publié: (2024)

Progressive Mixed-Precision Decoding for Efficient LLM Inference
par: Chen, Hao Mark, et autres
Publié: (2024)

GR-RL: Going Dexterous and Precise for Long-Horizon Robotic Manipulation
par: Li, Yunfei, et autres
Publié: (2025)

Deep Learning-Enhanced Preconditioning for Efficient Conjugate Gradient Solvers in Large-Scale PDE Systems
par: Li, Rui, et autres
Publié: (2024)

Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo
par: Wang, Ziyi, et autres
Publié: (2023)

AMPLE: Event-Driven Accelerator for Mixed-Precision Inference of Graph Neural Networks
par: Gimenes, Pedro, et autres
Publié: (2025)

Precision Adaptive Imputation Network : An Unified Technique for Mixed Datasets
par: Joshi, Harsh, et autres
Publié: (2025)

Causal Discovery with Mixed Latent Confounding via Precision Decomposition
par: Asiaee, Amir, et autres
Publié: (2025)

MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models
par: Frantar, Elias, et autres
Publié: (2024)

MPQ-Diff: Mixed Precision Quantization for Diffusion Models
par: Maruzzelli, Rocco Manz, et autres
Publié: (2024)

Neural Quantum States in Mixed Precision
par: Solinas, Massimo, et autres
Publié: (2026)

Mixed-Precision Quantization for Language Models: Techniques and Prospects
par: Rakka, Mariam, et autres
Publié: (2025)

MoR: Mixture Of Representations For Mixed-Precision Training
par: Su, Bor-Yiing, et autres
Publié: (2025)

Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
par: Tu, Renbo, et autres
Publié: (2023)

MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning
par: Zhang, Tao, et autres
Publié: (2025)

InfoQ: Mixed-Precision Quantization via Global Information Flow
par: Akbulut, Mehmet Emre, et autres
Publié: (2025)

Addressing Performance Saturation for LLM RL via Precise Entropy Curve Control
par: Li, Bolian, et autres
Publié: (2026)

Flexible Mixed Precision Quantization for Learned Image Compression
par: Hossain, Md Adnan Faisal, et autres
Publié: (2025)

APreQEL: Adaptive Mixed Precision Quantization For Edge LLMs
par: Bouzouad, Meriem, et autres
Publié: (2026)

Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization
par: Kang, Haidong, et autres
Publié: (2025)