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Biblio
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Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation. 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI 24). :307--323.
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2024. Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning. 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI 23). :681--699.
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2023. Optimizing Dynamic Neural Networks with Brainstorm. 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI 23). :797--815.
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2023. Welder: Scheduling Deep Learning Memory Access via Tile-graph. 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI 23). :701--718.
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2023. ROLLER: Fast and Efficient Tensor Compilation for Deep Learning. 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 22). :233--248.
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2022. Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks. 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20). :881--897.
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2020. NeuGraph: Parallel Deep Neural Network Computation on Large Graphs. 2019 USENIX Annual Technical Conference (USENIX ATC 19). :443--458.
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2019. Garaph: Efficient GPU-accelerated Graph Processing on a Single Machine with Balanced Replication. 2017 USENIX Annual Technical Conference (USENIX ATC 17). :195--207.
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2017. Tux²: Distributed Graph Computation for Machine Learning. 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17). :669--682.
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