Follow
Kleovoulos Kalaitzidis
Kleovoulos Kalaitzidis
Senior Researcher, Huawei Technologies
Verified email at huawei.com - Homepage
Title
Cited by
Cited by
Year
Branch prediction as a reinforcement learning problem: Why, how and case studies
A Zouzias, K Kalaitzidis, B Grot
arXiv preprint arXiv:2106.13429, 2021
82021
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
52022
Value speculation through equality prediction
K Kalaitzidis, A Seznec
2019 IEEE 37th International Conference on Computer Design (ICCD), 694-697, 2019
52019
Leveraging value equality prediction for value speculation
K Kalaitzidis, A Seznec
ACM Transactions on Architecture and Code Optimization (TACO) 18 (1), 1-20, 2020
42020
Exploring value prediction limits
A Seznec, K Kalaitzidis
CVP 2020-Championship Value Prediction, 1-5, 2020
32020
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
32015
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
12022
Advanced speculation to increase the performance of superscalar processors
K Kalaitzidis
Université Rennes 1, 2020
12020
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, ...
The system can't perform the operation now. Try again later.
Articles 1–10