Nautilus auto-compiles math-like tensor descriptions into optimized GPU kernels, delivering up to 42% higher throughput than prior compilers on transformer models across NVIDIA GPUs.
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UNVERDICTED 3representative citing papers
PipeLive enables live pipeline parallelism reconfiguration for LLMs via KV cache redesign and VM-migration-inspired patching, cutting TTFT by 2.5x and reconfiguration time to under 10ms.
HARP provides a fine-grained inter-operator parallel planner and a heterogeneity-aware 1F1B scheduler that together improve training throughput by 1.3x-1.6x on mixed GPU clusters compared with current homogeneous-oriented frameworks.
citing papers explorer
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Nautilus: An Auto-Scheduling Tensor Compiler for Efficient Tiled GPU Kernels
Nautilus auto-compiles math-like tensor descriptions into optimized GPU kernels, delivering up to 42% higher throughput than prior compilers on transformer models across NVIDIA GPUs.
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PipeLive: Efficient Live In-place Pipeline Parallelism Reconfiguration for Dynamic LLM Serving
PipeLive enables live pipeline parallelism reconfiguration for LLMs via KV cache redesign and VM-migration-inspired patching, cutting TTFT by 2.5x and reconfiguration time to under 10ms.
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HARP: Orchestrating Automated Parallel Training on Heterogeneous GPU Clusters
HARP provides a fine-grained inter-operator parallel planner and a heterogeneity-aware 1F1B scheduler that together improve training throughput by 1.3x-1.6x on mixed GPU clusters compared with current homogeneous-oriented frameworks.