Resource-Guided Configuration Space Reduction for Deep Learning Models | 1 | 0.35 | 2021 |
An empirical study on program failures of deep learning jobs | 6 | 0.43 | 2020 |
Estimating GPU memory consumption of deep learning models | 3 | 0.42 | 2020 |
Enhancing the interoperability between deep learning frameworks by model conversion | 3 | 0.40 | 2020 |
An empirical study on quality issues of production big data platform | 9 | 0.54 | 2015 |
GraM: scaling graph computation to the trillions. | 20 | 0.66 | 2015 |
A characteristic study on failures of production distributed data-parallel programs | 14 | 0.66 | 2013 |
Optimizing data shuffling in data-parallel computation by understanding user-defined functions | 31 | 1.40 | 2012 |
G2: a graph processing system for diagnosing distributed systems | 3 | 0.43 | 2011 |
Language-based replay via data flow cut | 6 | 0.47 | 2010 |
MODIST: transparent model checking of unmodified distributed systems | 76 | 2.78 | 2009 |
Hang analysis: fighting responsiveness bugs | 9 | 0.76 | 2008 |