| Accurate, large minibatch SG D: training imagenet in 1 hour P Goyal arXiv preprint arXiv:1706.02677, 2017 | 4073 | 2017 |
| 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 | 2516 | 2012 |
| {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 | 1498 | 2012 |
| 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 | 1119 | 2014 |
| 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 | 456 | 2010 |
| Parallel coordinate descent for l1-regularized loss minimization JK Bradley, A Kyrola, D Bickson, C Guestrin arXiv preprint arXiv:1105.5379, 2011 | 366 | 2011 |
| 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 | 352 | 2012 |
| 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 | 249 | 2012 |
| 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 | 149 | 2019 |
| 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 | 69 | 2016 |
| Drunkardmob: billions of random walks on just a pc A Kyrola Proceedings of the 7th ACM conference on Recommender systems, 257-264, 2013 | 53 | 2013 |
| GraphChi-DB: Simple design for a scalable graph database system--on just a PC A Kyrola, C Guestrin arXiv preprint arXiv:1403.0701, 2014 | 31 | 2014 |
| 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 | 30 | 2011 |
| 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 | 25 | 2016 |
| 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 | 13 | 2017 |
| 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 | 5 | 2014 |
| Large-scale Graph Computation on Just a PC A Kyrola Intel, 2014 | 3 | 2014 |
| 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 | 1 | 2012 |
| 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 | |
