kernel optimization

AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization AAAI 2026 ADAngel: Accelerating Arbitrary-Precision Quantized LLMs with Adaptive Computing Mapping OSDI 2026 AirWino: Optimized Winograd Convolution for Accelerating CNN Inference on ARMv8 Processors AAAI 2026 FlashKAT: Understanding and Addressing Performance Bottlenecks in the Kolmogorov-Arnold Transformer AAAI 2026 FlashMask: Efficient and Rich Mask Extension of FlashAttention ICLR 2025 FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware ICLR 2025 Mirage: A Multi-Level Superoptimizer for Tensor Programs OSDI 2025 Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level NeurIPS 2024 Fast Matrix Multiplications for Lookup Table-Quantized LLMs EMNLP 2024 Effectively Scheduling Computational Graphs of Deep Neural Networks toward Their Domain-Specific Accelerators OSDI 2023 Userspace Bypass: Accelerating Syscall-intensive Applications OSDI 2023 Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data AAAI 2020 TCP ≈ RDMA: CPU-efficient Remote Storage Access with i10 NSDI 2020 Slim: OS Kernel Support for a Low-Overhead Container Overlay Network NSDI 2019 Optimizing Over Radial Kernels on Compact Manifolds CVPR 2014 Separable Kernel for Image Deblurring CVPR 2014 Learning Kernels with Radiuses of Minimum Enclosing Balls NeurIPS 2010