TVM Afternoon Session #2 (12/12/2018)
The second afternoon session of TVM conference 2018.
(0:00) TVM @ FB -- Andrew Tulloch, Facebook. (https://sampl.cs.washington.edu/tvmco...)
(14:45) Inference Architectures @ Xilinx -- Graham Schelle, Xilinx(https://sampl.cs.washington.edu/tvmco...)
Lightning Talks Session
(39:55) Efficient Voice Activity Detection via Binarized Neural Networks -- Matthai Philipose, Microsoft. (https://sampl.cs.washington.edu/tvmco...)
(43:30) Heterogenous Bitwidth Binarization: Weird Operators with Big Benefits -- Josh Fromm, UW. (https://sampl.cs.washington.edu/tvmco...)
(47:22) Generating Fast Operators for Binarizable Networks -- Meghan Cowan, UW. (https://sampl.cs.washington.edu/tvmco...)
(50:00) OpenCL Backend for FPGA -- Morita Kazutaka, NTT, Japan. (https://sampl.cs.washington.edu/tvmco...)
(55:45) Build Your Own VTA Design with Chisel -- Luis Vega, UW. (https://sampl.cs.washington.edu/tvmco...)
(59:05) µTVM: Deep Learning on Bare-Metal Devices -- Pratyush Patel, UW.(https://sampl.cs.washington.edu/tvmco...)
(1:02:51) Supporting TVM on RISC-V Architectures -- Jenq-Kuen Lee, NTHU, Taiwan.(https://sampl.cs.washington.edu/tvmco...)
(1:07:32) Bring Your Own Datatypes -- Gus Smith, UW.
(https://sampl.cs.washington.edu/tvmco...)
(1:12:58) AutoScheduler for TVM -- Lianmin Zheng, SJTU.(https://sampl.cs.washington.edu/tvmco...)
(1:17:30) Hybrid Script: A Text Format for Halide IR & A Python-TVM Hybrid Frontend -- Jian Weng, UCLA. (https://sampl.cs.washington.edu/tvmco... )
(1:21:32) Automatic Quantization for TVM -- Ziheng Jiang, UW. (https://sampl.cs.washington.edu/tvmco...)
(1:26:26) Data Visualization with Vega-Lite and Altair -- Dominik Moritz , UW. (https://sampl.cs.washington.edu/tvmco...)
(1:29:00) TVM on Hexagon DSP -- Krzysztof Parzyszek , Qualcomm. (https://sampl.cs.washington.edu/tvmco...) |
(1:34:55) Sharing, Protection, and Compatibility for Reconfigurable Fabric with AmorphOS -- Ahmed Khawaja, UT Austin. (https://sampl.cs.washington.edu/tvmco...)
For the full program please see: https://sampl.cs.washington.edu/tvmconf/.