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Sparks, Evan
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1

What's new in AI: AI chips with Evan Sparks:

Anadiotis, George ; Sparks, Evan - [First edition] . , 2023
Link: https://learning.oreilly..
 
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2

Analytics for awareness in maritime surveillance: from data..:

Caelli, Terry ; Mukerjee, Joyanto ; Sparks, Evan
The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology.  16 (2018)  2 - p. 207-215 , 2018
Link: https://doi.org/10.1177/..
 
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3

Matrix Computations and Optimization in Apache Spark:

, In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,
Bosagh Zadeh, Reza ; Meng, Xiangrui ; Ulanov, Alexander... - p. 31-38 , 2016
Link: https://dl.acm.org/doi/1..
 
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4

Kira: Processing Astronomy Imagery Using Big Data Technolog:

Zhang, Zhao ; Barbary, Kyle ; Nothaft, Frank Austin...
IEEE Transactions on Big Data.  6 (2020)  2 - p. 369-381 , 2020
Link: https://doi.org/10.1109/..
 
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5

Diagnosing Machine Learning Pipelines with Fine-grained Lin..:

, In: Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing,
Zhang, Zhao ; Sparks, Evan R. ; Franklin, Michael J. - p. 143-153 , 2017
Link: https://dl.acm.org/doi/1..
 
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6

Automating model search for large scale machine learning:

, In: Proceedings of the Sixth ACM Symposium on Cloud Computing,
Sparks, Evan R. ; Talwalkar, Ameet ; Haas, Daniel... - p. 368-380 , 2015
Link: https://dl.acm.org/doi/1..
 
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7

MLSys: The New Frontier of Machine Learning Systems:

Ratner, Alexander ; Alistarh, Dan ; Alonso, Gustavo...
http://arxiv.org/abs/1904.03257.  , 2019
Link: http://arxiv.org/abs/190..
 
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8

Exploiting Reuse in Pipeline-Aware Hyperparameter Tuning:

Li, Liam ; Sparks, Evan ; Jamieson, Kevin.
http://arxiv.org/abs/1903.05176.  , 2019
Link: http://arxiv.org/abs/190..
 
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9

Scientific Computing Meets Big Data Technology: An Astronom..:

Zhang, Zhao ; Barbary, Kyle ; Nothaft, Frank Austin...
http://arxiv.org/abs/1507.03325.  , 2015
Link: http://arxiv.org/abs/150..
 
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10

Matrix Computations and Optimization in Apache Spark:

Zadeh, Reza Bosagh ; Meng, Xiangrui ; Staple, Aaron...
http://arxiv.org/abs/1509.02256.  , 2015
Link: http://arxiv.org/abs/150..
 
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11

MLlib: Machine Learning in Apache Spark:

Meng, Xiangrui ; Bradley, Joseph ; Yavuz, Burak...
http://arxiv.org/abs/1505.06807.  , 2015
Link: http://arxiv.org/abs/150..
 
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12

Scientific Computing Meets Big Data Technology: An Astronom..:

Zhang, Zhao ; Barbary, Kyle ; Nothaft, Frank Austin...
qt0td139f0.  , 2015
Link: https://escholarship.org..
 
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13

Embarrassingly Parallel Time Series Analysis for Large Scal..:

Belletti, Francois ; Sparks, Evan ; Franklin, Michael.
http://arxiv.org/abs/1511.06493.  , 2015
Link: http://arxiv.org/abs/151..
 
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14

End-to-End Large Scale Machine Learning with KeystoneML:

Sparks, Evan Randall
qt4r73d9rh.  , 2016
Link: https://escholarship.org..
 
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15

KeystoneML: Optimizing Pipelines for Large-Scale Advanced A..:

Sparks, Evan R ; Venkataraman, Shivaram ; Kaftan, Tomer..
http://arxiv.org/abs/1610.09451.  , 2016
Link: http://arxiv.org/abs/161..
 
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