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Aapo Kyrola
Aapo Kyrola
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Accurate, large minibatch SG D: training imagenet in 1 hour
P Goyal
arXiv preprint arXiv:1706.02677, 2017
41282017
Distributed graphlab: A framework for machine learning in the cloud
Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin, JM Hellerstein
arXiv preprint arXiv:1204.6078, 2012
25192012
{GraphChi}:{Large-Scale} graph computation on just a {PC}
A Kyrola, G Blelloch, C Guestrin
10th USENIX symposium on operating systems design and implementation (OSDI …, 2012
15022012
Graphlab: A new framework for parallel machine learning
Y Low, JE Gonzalez, A Kyrola, D Bickson, CE Guestrin, J Hellerstein
arXiv preprint arXiv:1408.2041, 2014
11212014
Graphlab: A new parallel framework for machine learning
Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin, JM Hellerstein
Conference on uncertainty in artificial intelligence (UAI) 20, 2010
4562010
Parallel coordinate descent for l1-regularized loss minimization
JK Bradley, A Kyrola, D Bickson, C Guestrin
arXiv preprint arXiv:1105.5379, 2011
3692011
Kineograph: taking the pulse of a fast-changing and connected world
R Cheng, J Hong, A Kyrola, Y Miao, X Weng, M Wu, F Yang, L Zhou, ...
Proceedings of the 7th ACM european conference on Computer Systems, 85-98, 2012
3542012
Brief announcement: the problem based benchmark suite
J Shun, GE Blelloch, JT Fineman, PB Gibbons, A Kyrola, HV Simhadri, ...
Proceedings of the twenty-fourth annual ACM symposium on Parallelism in …, 2012
2492012
Accurate, large minibatch sgd: Training imagenet in 1 hour. arXiv 2017
P Goyal, P Dollár, R Girshick, P Noordhuis, L Wesolowski, A Kyrola, ...
arXiv preprint arXiv:1706.02677, 2019
1502019
Platform for continuous graph update and computation
F Yang, L Zhou, M Wu, A Kyrola, R Cheng, Y Miao, X Weng, J Hong
US Patent 9,244,983, 2016
692016
Drunkardmob: billions of random walks on just a pc
A Kyrola
Proceedings of the 7th ACM conference on Recommender systems, 257-264, 2013
532013
GraphChi-DB: Simple design for a scalable graph database system--on just a PC
A Kyrola, C Guestrin
arXiv preprint arXiv:1403.0701, 2014
312014
Graphlab: A distributed framework for machine learning in the cloud
Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin
arXiv preprint arXiv:1107.0922, 2011
302011
Experimental analysis of space-bounded schedulers
HV Simhadri, GE Blelloch, JT Fineman, PB Gibbons, A Kyrola
ACM Transactions on Parallel Computing (TOPC) 3 (1), 1-27, 2016
252016
Platform for continuous graph update and computation
F Yang, A Kyrola, X Weng, R Cheng, M Wu, J Hong, L Zhou, Y Miao
US Patent 9,589,069, 2017
152017
Beyond synchronous: new techniques for external-memory graph connectivity and minimum spanning forest
A Kyrola, J Shun, G Blelloch
Experimental Algorithms: 13th International Symposium, SEA 2014, Copenhagen …, 2014
52014
Large-scale Graph Computation on Just a PC
A Kyrola
Intel, 2014
32014
Brief announcement
J Shun, GE Blelloch, JT Fineman, PB Gibbons, A Kyrola, HV Simhadri, ...
Proceedings of the twenty-fourth annual ACM symposium on Parallelism in …, 2012
12012
Distributed GraphLab
Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin, J Hellerstein
A Framework for Machine Learning and Data Mining in the Cloud,” VLDB 12, 0
1
10-702 Project Report: Parallel LDA, Truth or Dare?
A Kyrölä
1
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