| Title/Authors | Title | Research Artifacts
[?] A research
artifact is any by-product of a research project that is not
directly included in the published research paper. In Computer
Science research this is often source code and data sets, but
it could also be media, documentation, inputs to proof
assistants, shell-scripts to run experiments, etc.
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Details |
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Real-Time Image Recognition Using Collaborative IoT Devices Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim |
Real-Time Image Recognition Using Collaborative IoT Devices Details |
Artifacts for some papers are reviewed by an artifact evaluation, reproducibility,
or similarly named committee. This is one such paper that passed review.
Artifact evaluation badge awarded
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0
Verification:
Authors have
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information
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Leveraging the VTA-TVM Hardware-Software Stack for FPGA Acceleration of 8-bit ResNet-18 Inference Thierry Moreau, Tianqi Chen, Luis Ceze |
Leveraging the VTA-TVM Hardware-Software Stack for FPGA Acceleration of 8-bit ResNet-18 Inference Details |
Artifacts for some papers are reviewed by an artifact evaluation, reproducibility,
or similarly named committee. This is one such paper that passed review.
Artifact evaluation badge awarded
|
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Verification:
Authors have
not verified
information
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Optimizing Deep Learning Workloads on ARM GPU with TVM Lanmin Zheng, Tianqi Chen |
Optimizing Deep Learning Workloads on ARM GPU with TVM Details |
Artifacts for some papers are reviewed by an artifact evaluation, reproducibility,
or similarly named committee. This is one such paper that passed review.
Artifact evaluation badge awarded
|
Discussion Comments:
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Authors have
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information
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Multi-objective autotuning of MobileNets across the full software/hardware stack Anton Lokhmotov, Nikolay Chunosov, Flavio Vella, Grigori Fursin |
Multi-objective autotuning of MobileNets across the full software/hardware stack Details |
Artifacts for some papers are reviewed by an artifact evaluation, reproducibility,
or similarly named committee. This is one such paper that passed review.
Artifact evaluation badge awarded
|
Discussion Comments:
0
Verification:
Authors have
not verified
information
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Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe 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 Details |
Artifacts for some papers are reviewed by an artifact evaluation, reproducibility,
or similarly named committee. This is one such paper that passed review.
Artifact evaluation badge awarded
|
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Discussion Comments:
0
Sharing:
Research produced artifacts
Verification:
Authors have
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information
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