| Chimera: Collaborative preemption for multitasking on a shared GPU JJK Park, Y Park, S Mahlke ACM SIGARCH Computer Architecture News 43 (1), 593-606, 2015 | 219 | 2015 |
| Polymorphic pipeline array: a flexible multicore accelerator with virtualized execution for mobile multimedia applications H Park, Y Park, S Mahlke Proceedings of the 42nd Annual IEEE/ACM International Symposium on …, 2009 | 181 | 2009 |
| Transparent CPU-GPU collaboration for data-parallel kernels on heterogeneous systems J Lee, M Samadi, Y Park, S Mahlke Proceedings of the 22nd international conference on Parallel architectures …, 2013 | 173 | 2013 |
| Dynamic resource management for efficient utilization of multitasking GPUs JJK Park, Y Park, S Mahlke Proceedings of the twenty-second international conference on architectural …, 2017 | 99 | 2017 |
| Compiling apparatus and method of a multicore device K Kwon, SJ Kim, S Mahlke, Y Park US Patent 8,813,073, 2014 | 92 | 2014 |
| CGRA express: accelerating execution using dynamic operation fusion Y Park, H Park, S Mahlke Proceedings of the 2009 international conference on Compilers, architecture …, 2009 | 82 | 2009 |
| Skmd: Single kernel on multiple devices for transparent cpu-gpu collaboration J Lee, M Samadi, Y Park, S Mahlke ACM Transactions on Computer Systems (TOCS) 33 (3), 1-27, 2015 | 65 | 2015 |
| Process variation in near-threshold wide SIMD architectures S Seo, RG Dreslinski, M Woh, Y Park, C Charkrabari, S Mahlke, D Blaauw, ... Proceedings of the 49th Annual Design Automation Conference, 980-987, 2012 | 53 | 2012 |
| APRES: Improving cache efficiency by exploiting load characteristics on GPUs Y Oh, K Kim, MK Yoon, JH Park, Y Park, WW Ro, M Annavaram ACM SIGARCH computer architecture news 44 (3), 191-203, 2016 | 45 | 2016 |
| Libra: Tailoring simd execution using heterogeneous hardware and dynamic configurability Y Park, JJK Park, H Park, S Mahlke 2012 45th Annual IEEE/ACM International Symposium on Microarchitecture, 84-95, 2012 | 44 | 2012 |
| SIMD defragmenter: Efficient ILP realization on data-parallel architectures Y Park, S Seo, H Park, HK Cho, S Mahlke ACM SIGPLAN Notices 47 (4), 363-374, 2012 | 44 | 2012 |
| Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks J Lee, S Kang, Y Yu, YY Jo, SW Kim, Y Park | 24 | 2020 |
| InGaN/GaN nanowires grown on SiO2 and light emitting diodes with low turn on voltages Y Park, S Jahangir, Y Park, P Bhattacharya, J Heo Optics express 23 (11), A650-A656, 2015 | 24 | 2015 |
| Efficient performance scaling of future CGRAs for mobile applications Y Park, JJK Park, S Mahlke 2012 International Conference on Field-Programmable Technology, 335-342, 2012 | 23 | 2012 |
| Improving GPU multitasking efficiency using dynamic resource sharing J Kim, J Cha, JJK Park, D Jeon, Y Park IEEE Computer Architecture Letters 18 (1), 1-5, 2018 | 21 | 2018 |
| Mascot: A quantization framework for efficient matrix factorization in recommender systems Y Ko, JS Yu, HK Bae, Y Park, D Lee, SW Kim 2021 IEEE International Conference on Data Mining (ICDM), 290-299, 2021 | 17 | 2021 |
| ELF: Maximizing memory-level parallelism for GPUs with coordinated warp and fetch scheduling JJK Park, Y Park, S Mahlke Proceedings of the International Conference for High Performance Computing …, 2015 | 15 | 2015 |
| An eDRAM-based approximate register file for GPUs D Jeong, YH Oh, JW Lee, Y Park IEEE Design & Test 33 (1), 23-31, 2015 | 15 | 2015 |
| SRTuner: Effective compiler optimization customization by exposing synergistic relations S Park, S Latifi, Y Park, A Behroozi, B Jeon, S Mahlke 2022 IEEE/ACM International Symposium on Code Generation and Optimization …, 2022 | 13 | 2022 |
| MaPHeA: A lightweight memory hierarchy-aware profile-guided heap allocation framework DJ Oh, Y Moon, E Lee, TJ Ham, Y Park, JW Lee, JH Ahn Proceedings of the 22nd ACM SIGPLAN/SIGBED International Conference on …, 2021 | 13 | 2021 |
Scott MahlkeProfessor, Electrical Engineering and Computer Science Dept., University of MichiganVerified email at umich.edu