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Publications | Results For: Applications
Yang, Xuan, Mingyu Gao, Qiaoyi Liu, Jeff Setter, Jing Pu, Ankita Nayak, Steven Bell, Kaidi Cao, Heonjae Ha, Priyanka Raina, Christos Kozyrakis, and Mark Horowitz. “Interstellar: Using Halide’s Scheduling Language to Analyze DNN Accelerators”, ASPLOS ’20: Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems, 369–383. https://doi.org/10.1145/3373376.3378514.
Mullapudi, Ravi Mullapudi, Steven Chen, Keyi Zhang, Deva Ramanan, and Kayvon Fatahalian. “Online Model Distillation for Efficient Video Inference”, 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 3572-81. https://doi.org/10.1109/ICCV.2019.00367.
Adams, Andrew, Karima Ma, Luke Anderson, Riyadh Baghdadi, Tzumao Li, Michaël Gharbi, Benoit Steiner, Steven Johnson, Kayvon Fatahalian, Frédo Durand, and Jonathan Ragan-Kelley. “Learning to Optimize Halide With Tree Search and Random Programs”, ACM Transactions on Graphics. https://doi.org/10.1145/3306346.3322967.
Gao, Mingyu, Xuan Yang, Jing Pu, Mark Horowitz, and Christos Kozyrakis. “TANGRAM: Optimized Coarse-Grained Dataflow for Scalable NN Accelerators”, ASPLOS ’19: Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 807–820. https://doi.org/10.1145/3297858.3304014.
Yoshioka, Kentaro, Edward Lee, and Mark Horowitz. “Training Domain Specific Models for Energy-Efficient Object Detection”, arXiv.org. https://arxiv.org/abs/1811.02689v2.
Poms, Alex, Will Crichton, Pat Hanrahan, and Kayvon Fatahalian. “Scanner: Efficient Video Analysis at Scale”, ACM Transactions on Graphics. https://doi.org/10.1145/3197517.3201394.
Bell, Steven, Jing Pu, James Hegarty, and Mark Horowitz. “Compiling Algorithms for Heterogeneous Systems”, Synthesis Lectures on Computer Architecture, 13(1), 1-105. https://doi.org/10.2200/S00816ED1V01Y201711CAC043.