| Accelerating Markov random field inference using molecular optical Gibbs sampling units S Wang, X Zhang, Y Li, R Bashizade, S Yang, C Dwyer, AR Lebeck ACM SIGARCH Computer Architecture News 44 (3), 558-569, 2016 | 22 | 2016 |
| P2R2: Parallel pseudo-round-robin arbiter for high performance NoCs R Bashizade, H Sarbazi-Azad Integration 50, 173-182, 2015 | 20 | 2015 |
| Architecting a stochastic computing unit with molecular optical devices X Zhang, R Bashizade, C LaBoda, C Dwyer, AR Lebeck 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018 | 18 | 2018 |
| Architecting the last-level cache for GPUs using STT-RAM technology MH Samavatian, M Arjomand, R Bashizade, H Sarbazi-Azad ACM Transactions on Design Automation of Electronic Systems (TODAES) 20 (4 …, 2015 | 16 | 2015 |
| Statistical robustness of Markov chain Monte Carlo accelerators X Zhang, R Bashizade, Y Wang, S Mukherjee, AR Lebeck Proceedings of the 26th ACM International Conference on Architectural …, 2021 | 10 | 2021 |
| Beyond application end-point results: Quantifying statistical robustness of mcmc accelerators X Zhang, R Bashizade, Y Wang, C Lyu, S Mukherjee, AR Lebeck arXiv preprint arXiv:2003.04223, 2020 | 8 | 2020 |
| A Method to Improve Adaptivity of Odd-Even Routing Algorithm in Mesh NoCs M Sadrosadati, R Bashizade, S Roozkhosh, A Shafiee, H Sarbazi-Azad 2016 24th Euromicro International Conference on Parallel, Distributed, and …, 2016 | 8 | 2016 |
| Efficient mapping of applications for future chip-multiprocessors in dark silicon era M Hoveida, F Aghaaliakbari, R Bashizade, M Arjomand, H Sarbazi-Azad ACM Transactions on Design Automation of Electronic Systems (TODAES) 22 (4 …, 2017 | 5 | 2017 |
| Adaptive Simultaneous Multi-tenancy for GPUs R Bashizade, Y Li, AR Lebeck Workshop on Job Scheduling Strategies for Parallel Processing, 83-106, 2018 | 4 | 2018 |
| Accelerating Markov Random Field Inference with Uncertainty Quantification R Bashizade, X Zhang, S Mukherjee, AR Lebeck arXiv preprint arXiv:2108.00570, 2021 | 2 | 2021 |
| Traffic-aware buffer reconfiguration in on-chip networks R Bashizade, H Sarbazi-Azad 2015 IFIP/IEEE International Conference on Very Large Scale Integration …, 2015 | 2 | 2015 |
| Accelerating data parallel applications via hardware and software techniques R Bashizade Duke University, 2020 | 1 | 2020 |
| Rolling dice at the nanoscale X Zhang, R Bashizade XRDS: Crossroads, The ACM Magazine for Students 26 (1), 18-22, 2019 | 1 | 2019 |
| Revisiting Processor Allocation and Application Mapping in Future CMPs in Dark Silicon Era M Hoveida, F Aghaaliakbari, M Jalili, R Bashizade, M Arjomand, ... Advances in Computers 110, 35-81, 2018 | 1 | 2018 |
| Architecting the last-level cache for GPUs using STT-MRAM nonvolatile memory MH Samavatian, A Mohammad, R Bashizade, H Sarbazi-Azad Advances in GPU Research and Practice, 543-580, 2017 | 1 | 2017 |
| Optimizing Markov Random Field Inference via Event-Driven Gibbs Sampling for GPUs R Bashizade, X Zhang, S Mukherjee, AR Lebeck | | |
| Optimizing Markov Random Field Inference via Event-driven Gibbs Sampling R Bashizade, X Zhang, S Mukherjee, AR Lebeck | | |
| Statistical Robustness of Markov Chain Monte Carlo Accelerators Extended Abstract X Zhang, R Bashizade, Y Wang, S Mukherjee, AR Lebeck | | |
| Statistical Robustness of MCMC Accelerators X Zhang, R Bashizade, Y Wang, C Lyu, S Mukherjee, AR Lebeck | | |
Alvin R. LebeckProfessor Computer Science and Electrical and Computer Engineering, Duke UniversityVerified email at cs.duke.edu
