Weight-oriented approximation for energy-efficient neural network inference accelerators ZG Tasoulas, G Zervakis, I Anagnostopoulos, H Amrouch, J Henkel IEEE Transactions on Circuits and Systems I: Regular Papers 67 (12), 4670-4683, 2020 | 101 | 2020 |
Improving GPU performance with a power-aware streaming multiprocessor allocation methodology ZG Tasoulas, I Anagnostopoulos Electronics 8 (12), 1451, 2019 | 7 | 2019 |
Adaptive approximate computing on hardware accelerators targeting Internet-of-Things J Dickerson, I Galanis, ZG Tasoulas, L Kinley, I Anagnostopoulos 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), 1-6, 2020 | 6 | 2020 |
Performance and aging aware resource allocation for concurrent GPU applications under process variation ZG Tasoulas, I Anagnostopoulos IEEE Transactions on Nanotechnology 18, 717-727, 2019 | 6 | 2019 |
Optimizing performance of GPU applications with SM activity divergence minimization ZG Tasoulas, I Anagnostopoulos 2018 25th IEEE International Conference on Electronics, Circuits and Systems …, 2018 | 6 | 2018 |
A message-passing microcoded synchronization for distributed shared memory architectures ZG Tasoulas, I Anagnostopoulos, L Papadopoulos, D Soudris IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 6 | 2018 |
Kernel-based resource allocation for improving GPU throughput while minimizing the activity divergence of SMs ZG Tasoulas, I Anagnostopoulos IEEE Transactions on Circuits and Systems I: Regular Papers 67 (2), 428-440, 2019 | 5 | 2019 |
Performance-based and aging-aware resource allocation for concurrent gpu applications ZG Tasoulas, R Guss, I Anagnostopoulos 2018 IEEE International Symposium on Defect and Fault Tolerance in VLSI and …, 2018 | 5 | 2018 |
Resource management and application customization for hardware accelerated systems ZG Tasoulas Southern Illinois University at Carbondale, 2021 | | 2021 |
A client-server synchronization model for concurrent data structures implemented in SCC ZG Tasoulas | | 2016 |