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hardware accelerator

13 papers

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model compression (3) gpu acceleration (2) hardware acceleration (2) deep neural network (2) parallel computing (2) deep learning library (1) deep learning compiler (1) static scheduling (1) deep learning accelerator (1) neural network hardware (1)

Papers

CloserToMe: A Unified Framework for Accurate and Transferable Latency Prediction Across Heterogeneous Devices AAAI 2026 QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge CVPR 2025 Optimized Speculative Sampling for GPU Hardware Accelerators EMNLP 2024 Performance Interfaces for Hardware Accelerators OSDI 2024 Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning OSDI 2023 Data-Driven Offline Optimization for Architecting Hardware Accelerators ICLR 2022 DeepHardMark: Towards Watermarking Neural Network Hardware AAAI 2022 Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators ICML 2021 DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation ICLR 2021 Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks OSDI 2020 MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors CVPR 2019 PyTorch: An Imperative Style, High-Performance Deep Learning Library NeurIPS 2019 Training DNNs with Hybrid Block Floating Point NeurIPS 2018