| ESESC: A Fast Multicore Simulator Using Time-Based Sampling EK Ardestani, J Renau HPCA, 2013 | 180 | 2013 |
| Software-hardware co-design for fast and scalable training of deep learning recommendation models D Mudigere, Y Hao, J Huang, Z Jia, A Tulloch, S Sridharan, X Liu, ... Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 172* | 2022 |
| Characterizing processor thermal behavior FJ Mesa-Martinez, EK Ardestani, J Renau ACM SIGARCH Computer Architecture News 38 (1), 193-204, 2010 | 101 | 2010 |
| Power blurring: Fast static and transient thermal analysis method for packaged integrated circuits and power devices A Ziabari, JH Park, EK Ardestani, J Renau, SM Kang, A Shakouri IEEE Transactions on Very Large Scale Integration (VLSI) Systems 22 (11 …, 2014 | 78 | 2014 |
| High-performance, distributed training of large-scale deep learning recommendation models D Mudigere, Y Hao, J Huang, A Tulloch, S Sridharan, X Liu, M Ozdal, ... arXiv preprint arXiv:2104.05158, 2021 | 37 | 2021 |
| Accounting for variability in large-scale cluster power models JD Davis, S Rivoire, M Goldszmidt, EK Ardestani Exascale Evaluation and Research Techniques Workshop (EXERT), 55, 2011 | 28 | 2011 |
| Why do we need a remote health monitoring system? A study on predictive analytics for heart failure patients M Pourhomayoun, N Alshurafa, F Dabiri, E Ardestani, A Samiee, ... 11th international conference on body area networks, 2017 | 24 | 2017 |
| Fast thermal simulators for architecture level integrated circuit design A Ziabari, EK Ardestani, J Renau, A Shakouri 2011 27th Annual IEEE Semiconductor Thermal Measurement and Management …, 2011 | 22 | 2011 |
| Managing mismatches in voltage stacking with coreunfolding EK Ardestani, RT Possignolo, JL Briz, J Renau ACM Transactions on Architecture and Code Optimization (TACO) 12 (4), 1-26, 2015 | 20 | 2015 |
| Enabling Power Density and Thermal-Aware Floorplanning EK Ardestani, A Ziabari, A Shakouri, J Renau | 20 | 2012 |
| An Energy Efficient GPGPU Memory Hierarchy with Tiny Incoherent Caches A Sankaranarayanan, EK Ardestani, JL Briz, J Renau | 19 | 2013 |
| Thermal-aware sampling in architectural simulation EK Ardestani, E Ebrahimi, G Southern, J Renau Proceedings of the 2012 ACM/IEEE international symposium on Low power …, 2012 | 19 | 2012 |
| Cooling solutions for processor infrared thermography EK Ardestani, FJ Mesa-Martínez, J Renau 2010 26th Annual IEEE Semiconductor Thermal Measurement and Management …, 2010 | 19 | 2010 |
| Sampling in thermal simulation of processors: Measurement, characterization, and evaluation EK Ardestani, FJ Mesa-Martinez, G Southern, E Ebrahimi, J Renau IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2013 | 18 | 2013 |
| Building a performance model for deep learning recommendation model training on gpus Z Lin, L Feng, EK Ardestani, J Lee, J Lundell, C Kim, A Kejariwal, ... 2022 IEEE 29th International Conference on High Performance Computing, Data …, 2022 | 17 | 2022 |
| Supporting massive DLRM inference through software defined memory EK Ardestani, C Kim, SJ Lee, L Pan, J Axboe, V Rampersad, B Agrawal, ... 2022 IEEE 42nd International Conference on Distributed Computing Systems …, 2022 | 17 | 2022 |
| Chaos: Composable highly accurate os-based power models JD Davis, S Rivoire, M Goldszmidt, EK Ardestani 2012 IEEE International Symposium on Workload Characterization (IISWC), 153-163, 2012 | 17 | 2012 |
| GPU NTC process variation compensation with voltage stacking RT Possignolo, E Ebrahimi, EK Ardestani, A Sankaranarayanan, JL Briz, ... IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (9 …, 2018 | 16 | 2018 |
| No Hardware Required: Building and Validating Composable Highly Accurate OS-based Power Models JD Davis, S Rivoire, M Goldszmidt, EK Ardestani | 13 | 2011 |
| Including Variability in Large-Scale Cluster Power Models J Davis, S Rivoire, M Goldszmidt, E Ardestani IEEE, 2012 | 6 | 2012 |
Jose RenauProcessor of Computer Science Engineering, UCSCEmail yang diverifikasi di ucsc.edu