| Prodigy: Improving the memory latency of data-indirect irregular workloads using hardware-software co-design N Talati, K May, A Behroozi, Y Yang, K Kaszyk, C Vasiladiotis, T Verma, ... 2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021 | 57 | 2021 |
| Ndminer: accelerating graph pattern mining using near data processing N Talati, H Ye, Y Yang, L Belayneh, KY Chen, D Blaauw, T Mudge, ... Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 17 | 2022 |
| Parallelism analysis of prominent desktop applications: An 18-year perspective S Feng, S Pal, Y Yang, RG Dreslinski 2019 IEEE International Symposium on Performance Analysis of Systems and …, 2019 | 9 | 2019 |
| GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference H Ye, S Vedula, Y Chen, Y Yang, A Bronstein, R Dreslinski, T Mudge, ... Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 1 | 2023 |
| CoPTA: Contiguous pattern speculating TLB architecture Y Yang, H Ye, Y Chen, X Liu, N Talati, X He, T Mudge, R Dreslinski Embedded Computer Systems: Architectures, Modeling, and Simulation: 20th …, 2020 | 1 | 2020 |
| Accelerating Graph Analytics on a Reconfigurable Architecture with a Data-Indirect Prefetcher Y Yang, J Li, N Talati, S Pal, S Feng, C Chakrabarti, T Mudge, ... arXiv preprint arXiv:2301.12312, 2023 | | 2023 |
Ronald DreslinskiUniversity of MichiganVerified email at umich.edu
