| Scheduling techniques for GPU architectures with processing-in-memory capabilities A Pattnaik, X Tang, A Jog, O Kayiran, AK Mishra, MT Kandemir, O Mutlu, ... Proceedings of the 2016 International Conference on Parallel Architectures …, 2016 | 130 | 2016 |
| Controlled kernel launch for dynamic parallelism in GPUs X Tang, A Pattnaik, H Jiang, O Kayiran, A Jog, S Pai, M Ibrahim, ... 2017 IEEE International Symposium on High Performance Computer Architecture …, 2017 | 47 | 2017 |
| μC-States: Fine-grained GPU datapath power management O Kayiran, A Jog, A Pattnaik, R Ausavarungnirun, X Tang, MT Kandemir, ... 2016 International Conference on Parallel Architecture and Compilation …, 2016 | 41 | 2016 |
| Improving bank-level parallelism for irregular applications X Tang, M Kandemir, P Yedlapalli, J Kotra 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016 | 38 | 2016 |
| Data movement aware computation partitioning X Tang, O Kislal, M Kandemir, M Karakoy Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017 | 32 | 2017 |
| Memory row reuse distance and its role in optimizing application performance M Kandemir, H Zhao, X Tang, M Karakoy Proceedings of the 2015 ACM SIGMETRICS International Conference on …, 2015 | 27 | 2015 |
| Opportunistic computing in gpu architectures A Pattnaik, X Tang, O Kayiran, A Jog, A Mishra, MT Kandemir, ... 2019 ACM/IEEE 46th Annual International Symposium on Computer Architecture …, 2019 | 26 | 2019 |
| Optimizing off-chip accesses in multicores W Ding, X Tang, M Kandemir, Y Zhang, E Kultursay Proceedings of the 36th ACM SIGPLAN Conference on Programming Language …, 2015 | 20 | 2015 |
| FlexBFS: a parallelism-aware implementation of breadth-first search on GPU G Liu, H An, W Han, X Li, T Sun, W Zhou, X Wei, X Tang Proceedings of the 17th ACM SIGPLAN symposium on Principles and Practice of …, 2012 | 15 | 2012 |
| DEMM: a Dynamic Energy-saving mechanism for Multicore Memories A Sharifi, W Ding, D Guttman, H Zhao, X Tang, M Kandemir, C Das 2017 IEEE 25th International Symposium on Modeling, Analysis, and Simulation …, 2017 | 13 | 2017 |
| POSTER: Location-Aware Computation Mapping for Manycore Processors O Kislal, J Kotra, X Tang, MT Kandemir, M Jung 2017 26th International Conference on Parallel Architectures and Compilation …, 2017 | 11 | 2017 |
| Enhancing computation-to-core assignment with physical location information O Kislal, J Kotra, X Tang, MT Kandemir, M Jung ACM SIGPLAN Notices 53 (4), 312-327, 2018 | 10 | 2018 |
| Oversubscribed command queues in GPUs S Puthoor, X Tang, J Gross, BM Beckmann Proceedings of the 11th Workshop on General Purpose GPUs, 50-60, 2018 | 9 | 2018 |
| Quantifying and optimizing data access parallelism on manycores J Ryoo, O Kislal, X Tang, MT Kandemir 26th IEEE International Symposium on Modeling, Analysis and Simulation of …, 2018 | 7 | 2018 |
| Computing with near data X Tang, M Taylan Kandemir, H Zhao, M Jung, M Karakoy ACM SIGMETRICS Performance Evaluation Review 47 (1), 27-28, 2019 | 5 | 2019 |
| Co-optimizing memory-level parallelism and cache-level parallelism X Tang, MT Kandemir, M Karakoy, M Arunachalam Proceedings of the 40th ACM SIGPLAN Conference on Programming Language …, 2019 | 5 | 2019 |
| VC-Bench: A Video Coding Benchmark Suite for Evaluation of Processor Capability X Tang, H An, G Sun, D Fan Software Engineering, Artificial Intelligence, Networking and Parallel …, 2013 | 5 | 2013 |
| Quantifying Data Locality in Dynamic Parallelism in GPUs X Tang, A Pattnaik, O Kayiran, A Jog, MT Kandemir, C Das ACM SIGMETRICS Performance Evaluation Review 47 (1), 25-26, 2019 | 4 | 2019 |
| Quantifying Data Locality in Dynamic Parallelism in GPUs X Tang, A Pattnaik, O Kayiran, A Jog, MT Kandemir, C Das Proceedings of the ACM on Measurement and Analysis of Computing Systems 2 (3 …, 2018 | 4 | 2018 |
| Main Memory Performance Optimization of Phase Change RAM in Stream Processor [J] XR Hao, H An, XQ Li, XL Tang Computer Engineering 24, 2011 | 2 | 2011 |
Mahmut KandemirPennsylvania State UniversityVerified email at psu.edu
