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02/26/2020
DLSpec: A Deep Learning Task Exchange Specification
Deep Learning (DL) innovations are being introduced at a rapid pace. How...
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02/19/2020
MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale
Machine Learning (ML) and Deep Learning (DL) innovations are being intro...
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11/19/2019
The Design and Implementation of a Scalable DL Benchmarking Platform
The current Deep Learning (DL) landscape is fast-paced and is rife with ...
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11/18/2019
DLBricks: Composable Benchmark Generation toReduce Deep Learning Benchmarking Effort on CPUs
The past few years have seen a surge of applying Deep Learning (DL) mode...
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11/18/2019
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs
The past few years have seen a surge of applying Deep Learning (DL) mode...
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11/18/2019
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs (Extended)
The past few years have seen a surge of applying Deep Learning (DL) mode...
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11/16/2019
Benanza: Automatic μBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs
As Deep Learning (DL) models have been increasingly used in latency-sens...
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11/16/2019
Benanza: Automatic uBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs
As Deep Learning (DL) models have been increasingly used in latency-sens...
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08/19/2019
Across-Stack Profiling and Characterization of Machine Learning Models on GPUs
The world sees a proliferation of machine learning/deep learning (ML) mo...
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08/19/2019
XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs
There has been a rapid proliferation of machine learning/deep learning (...
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04/29/2019
Challenges and Pitfalls of Reproducing Machine Learning Artifacts
An increasingly complex and diverse collection of Machine Learning(ML) m...
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04/29/2019
Challenges and Pitfalls of Machine Learning Evaluation and Benchmarking
An increasingly complex and diverse collection of Machine Learning (ML) ...
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11/24/2018
MLModelScope: Evaluate and Measure ML Models within AI Pipelines
The current landscape of Machine Learning (ML) and Deep Learning (DL) is...
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11/24/2018
Accelerating Reduction and Scan Using Tensor Core Units
Driven by deep learning, there has been a surge of specialized processor...
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11/24/2018
TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep LearningInference in Function as a Service Environments
Deep neural networks (DNNs) have become core computation components with...
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09/18/2018