| Optimization of GPU-based sparse matrix multiplication for large sparse networks J Lee, S Kang, Y Yu, YY Jo, SW Kim, Y Park 2020 IEEE 36th International Conference on Data Engineering (ICDE), 925-936, 2020 | 20 | 2020 |
| Realgraph: A graph engine leveraging the power-law distribution of real-world graphs YY Jo, MH Jang, SW Kim, S Park The World Wide Web Conference, 807-817, 2019 | 18 | 2019 |
| Efficient sparse matrix multiplication on gpu for large social network analysis YY Jo, SW Kim, DH Bae Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 17 | 2015 |
| Collaborative processing of data-intensive algorithms with CPU, intelligent SSD, and GPU YY Jo, SW Cho, SW Kim, H Oh Proceedings of the 31st Annual ACM Symposium on Applied Computing, 1865-1870, 2016 | 12 | 2016 |
| Data mining in intelligent SSD: Simulation-based evaluation YY Jo, SW Kim, M Chung, H Oh 2016 International Conference on Big Data and Smart Computing (BigComp), 123-128, 2016 | 12 | 2016 |
| A high-performance graph engine for efficient social network analysis YY Jo, MH Jang, H Jung, SW Kim Companion Proceedings of the The Web Conference 2018, 61-62, 2018 | 5 | 2018 |
| Data locality in graph engines: Implications and preliminary experimental results YY Jo, J Hong, MH Jang, JG Bang, SW Kim Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 5 | 2016 |
| A Data Layout with Good Data Locality for Single-Machine based Graph Engines YY Jo, MH Jang, SW Kim, S Park IEEE Transactions on Computers 71 (8), 1784-1793, 2021 | 4 | 2021 |
| : An Effective and Efficient Framework for Estimating the Execution Times of IO Traces on the SSD Y Kang, YY Jo, J Cha, WD Bae, W Lee, SW Kim IEEE Transactions on Computers 70 (12), 2146-2160, 2020 | 4 | 2020 |
| On running data-intensive algorithms with intelligent SSD and host CPU: a collaborative approach YY Jo, SW Cho, SW Kimm, DH Bae, H Oh Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2060-2065, 2015 | 4 | 2015 |
| Efficient processing of recommendation algorithms on a single-machine-based graph engine YY Jo, MH Jang, SW Kim, K Han The Journal of Supercomputing 76 (10), 7985-8002, 2020 | 2 | 2020 |
| A framework for estimating execution times of IO traces on SSDs Y Kang, YY Jo, J Cha, WD Bae, SW Kim Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 2 | 2017 |
| Efficient processing of large-scale sparse matrix-matrix multiplications on a single machine YY Jo, K Lee, MH Jang, SW Kim, E Song 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017 | 2 | 2017 |
| High-performance data mining with intelligent SSD YY Jo, SW Kim, SW Cho, DH Bae, H Oh Cluster Computing 20, 1155-1166, 2017 | 2 | 2017 |
| GPU-based matrix multiplication methods for social networks analysis YY Jo, SW Kim, DH Bae Proceedings of the 2014 Conference on Research in Adaptive and Convergent …, 2014 | 2 | 2014 |
| The uFLIP benchmark revisited for evaluating SSDs Y Kang, YY Jo, J Cha, SW Kim, YK Shin International Journal of Communication Systems 29 (14), 2100-2111, 2016 | 1 | 2016 |
| Performance analysis of collaborative processing by scheduling algorithm DK Jin, SW Cho, YY Jo, SW Kim Proceedings of the Korea Information Processing Society Conference, 105-107, 2014 | 1 | 2014 |
| RealGraphweb a graph analysis platform on the web MH Jang, YY Jo, SW Kim Proceedings of the VLDB Endowment 14 (12), 2775-2778, 2021 | | 2021 |
| A Method for Analyzing Features that Affect the Performance of SSD Y Kang, YY Jo, SW Kim Proceedings of the Korea Information Processing Society Conference, 315-316, 2018 | | 2018 |
| Efficient Processing of Alternating Least Squares on a Single Machine YY Jo, MH Jang, SW Kim Proceedings of the 7th International Conference on Emerging Databases …, 2018 | | 2018 |
