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05/19/2021
Pure Tensor Program Rewriting via Access Patterns (Representation Pearl)
Tensor kernels in machine learning (ML) often correspond to pure mathema...
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03/27/2021
Automated Backend-Aware Post-Training Quantization
Quantization is a key technique to reduce the resource requirement and i...
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11/29/2020
Srift: Swift and Thrift Cloud-Based Distributed Training
Cost-efficiency and training time are primary concerns in cloud-based di...
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10/05/2018
Computer Security Risks of Distant Relative Matching in Consumer Genetic Databases
Consumer genetic testing has become immensely popular in recent years an...
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07/11/2018
VTA: An Open Hardware-Software Stack for Deep Learning
Hardware acceleration is an enabler for ubiquitous and efficient deep le...
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02/12/2018
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
There is an increasing need to bring machine learning to a wide diversit...
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02/12/2018
TVM: End-to-End Optimization Stack for Deep Learning
Scalable frameworks, such as TensorFlow, MXNet, Caffe, and PyTorch drive...
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06/14/2017
