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ReQuEST@ASPLOS 2018: Williamsburg, VA, USA

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Luis Ceze, Natalie D. Enright Jerger, Babak Falsafi, Grigori Fursin, Anton Lokhmotov, Thierry Moreau, Adrian Sampson, Phillip Stanley-Marbell:
Proceedings of the 1st on Reproducible Quality-Efficient Systems Tournament on Co-designing Pareto-efficient Deep Learning, ReQuEST@ASPLOS 2018, Williamsburg, VA, USA, March 24, 2018. ACM 2018

Keynote

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Yiran Chen:
Keynote. 1

Artifact presentations

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Jiong Gong, Haihao Shen, Guoming Zhang, Xiaoli Liu, Shane Li, Ge Jin, Niharika Maheshwari, Evarist Fomenko, Eden Segal:
Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe. 2
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Lanmin Zheng, Tianqi Chen:
Optimizing Deep Learning Workloads on ARM GPU with TVM. 3
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Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim:
Real-Time Image Recognition Using Collaborative IoT Devices. 4
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Thierry Moreau, Tianqi Chen, Luis Ceze:
Leveraging the VTA-TVM Hardware-Software Stack for FPGA Acceleration of 8-bit ResNet-18 Inference. 5
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Anton Lokhmotov, Nikolay Chunosov, Flavio Vella, Grigori Fursin:
Multi-objective autotuning of MobileNets across the full software/hardware stack. 6
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Grigori Fursin, Thierry Moreau, Hillery C. Hunter, Yiran Chen, Charles Qi, Tianqi Chen:
PANEL: Open panel and discussion on tackling complexity, reproducibility and tech transfer challenges in a rapidly evolving AI/ML/systems research. 7

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