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Kris Nikov
Person information
- affiliation: University of Bristol, UK
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2020 – today
- 2023
- [c7]Benjamin Rouxel, Christopher Brown
, Emad Ebeid
The TeamPlay Project: Analysing and Optimising Time, Energy, and Security for Cyber-Physical Systems. DATE 2023: 1-6 - [c6]Simon Wegener
EnergyAnalyzer: Using Static WCET Analysis Techniques to Estimate the Energy Consumption of Embedded Applications. WCET 2023: 9:1-9:14 - [i8]Kris Nikov, Kyriakos Georgiou, Zbigniew Chamski, Kerstin Eder
Accurate Energy Modelling on the Cortex-M0 Processor for Profiling and Static Analysis. CoRR abs/2301.12806 (2023) - [i7]Simon Wegener, Kris K. Nikov, José L. Núñez-Yáñez, Kerstin Eder:
EnergyAnalyzer: Using Static WCET Analysis Techniques to Estimate the Energy Consumption of Embedded Applications. CoRR abs/2305.14968 (2023) - [i6]Benjamin Rouxel, Christopher Brown, Emad Ebeid, Kerstin Eder, Heiko Falk, Clemens Grelck, Jesper Holst, Shashank Jadhav, Yoann Marquer, Marcos Martinez de Alejandro, Kris Nikov, Ali Sahafi, Ulrik Pagh Schultz Lundquist, Adam Seewald, Vangelis Vassalos, Simon Wegener, Olivier Zendra:
The TeamPlay Project: Analysing and Optimising Time, Energy, and Security for Cyber-Physical Systems. CoRR abs/2306.06115 (2023) - 2022
- [j3]Kris Nikov
Robust and Accurate Fine-Grain Power Models for Embedded Systems With No On-Chip PMU. IEEE Embed. Syst. Lett. 14(3): 147-150 (2022) - [j2]Andrés Rodríguez
Lightweight asynchronous scheduling in heterogeneous reconfigurable systems. J. Syst. Archit. 124: 102398 (2022) - [c5]Minxuan Kong, Kris Nikov
Evaluation of Early-exit Strategies in Low-cost FPGA-based Binarized Neural Networks. DSD 2022: 1-8 - [c4]Kaan Olgu
Analysis of Graph Processing in Reconfigurable Devices for Edge Computing Applications. DSD 2022: 16-23 - [c3]Kris Nikov
Accurate Energy Modelling on the Cortex-M0 Processor for Profiling and Static Analysis. ICECS 2022 2022: 1-4 - [d1]Kris Nikov
GR712RC LEON3 Power Model Data. IEEE DataPort, 2022 - 2021
- [i5]Kyriakos Georgiou, Zbigniew Chamski, Kris Nikov, Kerstin Eder:
A Comprehensive and Accurate Energy Model for Arm's Cortex-M0 Processor. CoRR abs/2104.01055 (2021) - [i4]Kris Nikov, Marcos Martínez, Simon Wegener, José L. Núñez-Yáñez, Zbigniew Chamski, Kyriakos Georgiou, Kerstin Eder:
Robust and accurate fine-grain power models for embedded systems with no on-chip PMU. CoRR abs/2106.00565 (2021) - 2020
- [j1]Krastin Nikov
Intra and inter-core power modelling for single-ISA heterogeneous processors. Int. J. Embed. Syst. 12(3): 324-340 (2020) - [c2]José L. Núñez-Yáñez, Kris Nikov
Run-Time Power Modelling in Embedded GPUs with Dynamic Voltage and Frequency Scaling. PARMA-DITAM@HiPEAC 2020: 2:1-2:6 - [i3]José L. Núñez-Yáñez, Kris Nikov, Kerstin Eder, Mohammad Hosseinabady:
Run-Time Power Modelling in Embedded GPUs with Dynamic Voltage and Frequency Scaling. CoRR abs/2006.12176 (2020) - [i2]Kris Nikov, Mohammad Hosseinabady, Rafael Asenjo, Andrés Rodríguez, Angeles G. Navarro, José L. Núñez-Yáñez:
High-Performance Simultaneous Multiprocessing for Heterogeneous System-on-Chip. CoRR abs/2008.08883 (2020) - [i1]Kris Nikov, José L. Núñez-Yáñez, Matthew Horsnell:
Evaluation of hybrid run-time power models for the ARM big.LITTLE architecture. CoRR abs/2008.10604 (2020)
2010 – 2019
- 2018
- [b1]Kris Nikov:
Power modelling and analysis on heterogeneous embedded systems: a systematic approach. University of Bristol, UK, 2018 - 2015
- [c1]Krastin Nikov
Evaluation of Hybrid Run-Time Power Models for the ARM Big.LITTLE Architecture. EUC 2015: 205-210
Coauthor Index
aka: José Luis Núñez-Yáñez
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