conftrace_

gpu kernel

11 papers

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Co-occurring keywords · papers mentioning both

large language model (3) model compression (3) inference efficiency (2) computation graph optimization (1) parallel kernel execution (1) gpu parallel execution (1) ternary quantization (1) modality-balanced quantization (1) quantization sensitivity (1) operator fusion (1)

Papers

PointCNN++: Performant Convolution on Native Points CVPR 2026 Fast Inference with Kronecker-Sparse Matrices ICML 2025 KernelBench: Can LLMs Write Efficient GPU Kernels? ICML 2025 MBQ: Modality-Balanced Quantization for Large Vision-Language Models CVPR 2025 MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention ICML 2025 Scaling Laws and Efficient Inference for Ternary Language Models ACL 2025 ThunderKittens: Simple, Fast, and Adorable Kernels ICLR 2025 TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators ACL 2025 MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference Tasks on Modern GPU-Centric Architectures OSDI 2024 QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models EMNLP 2024 AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution AAAI 2023