Branch prediction as a reinforcement learning problem: Why, how and case studies A Zouzias, K Kalaitzidis, B Grot arXiv preprint arXiv:2106.13429, 2021 | 8 | 2021 |
AgileWatts: An Energy-Efficient CPU Core Idle-State Architecture for Latency-Sensitive Server Applications JH Yahya, H Volos, DB Bartolini, G Antoniou, JS Kim, Z Wang, ... 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 835-850, 2022 | 5 | 2022 |
Value speculation through equality prediction K Kalaitzidis, A Seznec 2019 IEEE 37th International Conference on Computer Design (ICCD), 694-697, 2019 | 5 | 2019 |
Leveraging value equality prediction for value speculation K Kalaitzidis, A Seznec ACM Transactions on Architecture and Code Optimization (TACO) 18 (1), 1-20, 2020 | 4 | 2020 |
Exploring value prediction limits A Seznec, K Kalaitzidis CVP 2020-Championship Value Prediction, 1-5, 2020 | 3 | 2020 |
Performance and power simulation of a functional-unit-network processor with simplescalar and wattch K Kalaitzidis, G Dimitriou, G Stamoulis, M Dossis Proceedings of the 19th Panhellenic Conference on Informatics, 71-76, 2015 | 3 | 2015 |
AgileWatts: An Energy-Efficient CPU Core Idle-State Architecture for Latency-Sensitive Server Applications J Haj Yahya, H Volos, DB Bartolini, G Antoniou, JS Kim, Z Wang, ... arXiv e-prints, arXiv: 2203.02550, 2022 | 1 | 2022 |
Advanced speculation to increase the performance of superscalar processors K Kalaitzidis Université Rennes 1, 2020 | 1 | 2020 |
Identifying and Exploiting Sparse Branch Correlations for Optimizing Branch Prediction A Zouzias, K Kalaitzidis, K Berestizshevsky, R Andri, L Peled, Z Wang arXiv preprint arXiv:2207.14033, 2022 | | 2022 |
AgileWa s: An Energy-E cient CPU Core Idle-State Architecture for Latency-Sensitive Server Applications JH Yahya, H Volos, DB Bartolini, G Antoniou, JS Kim, Z Wang, ... | | |