hardware optimization

CODMAS: A Dialectic Multi-Agent Collaborative Framework for Structured RTL Optimization EACL 2026 Deploying Atmospheric and Oceanic AI Models on Chinese Hardware and Framework: Migration Strategies, Performance Optimization and Analysis AAAI 2026 QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation AAAI 2026 AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints AAAI 2025 EMT: An OS Framework for New Memory Translation Architectures OSDI 2025 FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware ICLR 2025 Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference EMNLP 2025 Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention ACL 2025 Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View ACL 2025 Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices NeurIPS 2024 Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs NeurIPS 2024 Causes and Effects of Unanticipated Numerical Deviations in Neural Network Inference Frameworks NeurIPS 2023 Sketchovsky: Enabling Ensembles of Sketches on Programmable Switches NSDI 2023 Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning ICCV 2021 OpEvo: An Evolutionary Method for Tensor Operator Optimization AAAI 2021 RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions ICCV 2021 Winograd Algorithm for AdderNet ICML 2021 AdaTune: Adaptive Tensor Program Compilation Made Efficient NeurIPS 2020 Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines CVPR 2020 HAT: Hardware-Aware Transformers for Efficient Natural Language Processing ACL 2020 Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning CVPR 2017