| Computational approaches for prediction of pathogen-host protein-protein interactions E Nourani, F Khunjush, S Durmuş Frontiers in microbiology 6, 94, 2015 | 128 | 2015 |
| SEATS: smart energy-aware task scheduling in real-time cloud computing S Hosseinimotlagh, F Khunjush, R Samadzadeh The Journal of Supercomputing 71, 45-66, 2015 | 78 | 2015 |
| Host load prediction in cloud computing with discrete wavelet transformation (dwt) and bidirectional gated recurrent unit (bigru) network J Dogani, F Khunjush, M Seydali Computer Communications 198, 157-174, 2023 | 47 | 2023 |
| Multivariate workload and resource prediction in cloud computing using CNN and GRU by attention mechanism J Dogani, F Khunjush, MR Mahmoudi, M Seydali The Journal of Supercomputing 79 (3), 3437-3470, 2023 | 40 | 2023 |
| A cooperative two-tier energy-aware scheduling for real-time tasks in computing clouds S Hosseinimotlagh, F Khunjush, S Hosseinimotlagh 2014 22nd Euromicro International Conference on Parallel, Distributed, and …, 2014 | 40 | 2014 |
| Auto-scaling techniques in container-based cloud and edge/fog computing: Taxonomy and survey J Dogani, R Namvar, F Khunjush Computer Communications 209, 120-150, 2023 | 37 | 2023 |
| A statistical performance prediction model for OpenCL kernels on NVIDIA GPUs A Karami, SA Mirsoleimani, F Khunjush The 17th CSI International Symposium on Computer Architecture & Digital …, 2013 | 33 | 2013 |
| A preliminary study of incorporating GPUs in the Hadoop framework A Abbasi, F Khunjush, R Azimi The 16th CSI International Symposium on Computer Architecture and Digital …, 2012 | 25 | 2012 |
| Adaptive sparse matrix representation for efficient matrix–vector multiplication P Zardoshti, F Khunjush, H Sarbazi-Azad The Journal of Supercomputing 72 (9), 3366-3386, 2016 | 21 | 2016 |
| K-agrued: A container autoscaling technique for cloud-based web applications in kubernetes using attention-based gru encoder-decoder J Dogani, F Khunjush, M Seydali Journal of Grid Computing 20 (4), 40, 2022 | 18 | 2022 |
| Optimal data aggregation tree in wireless sensor networks based on improved river formation dynamics S Mehrjoo, F Khunjush Computational Intelligence 34 (3), 802-820, 2018 | 17 | 2018 |
| A parallel memetic algorithm on GPU to solve the task scheduling problem in heterogeneous environments SA Mirsoleimani, A Karami, F Khunjush Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013 | 17 | 2013 |
| Extended characterization of DMA transfers on the Cell BE processor F Khunjush, NJ Dimopoulos 2008 IEEE International Symposium on Parallel and Distributed Processing, 1-8, 2008 | 17 | 2008 |
| Computational prediction of virus–human protein–protein interactions using embedding kernelized heterogeneous data E Nourani, F Khunjush, S Durmuş Molecular bioSystems 12 (6), 1976-1986, 2016 | 16 | 2016 |
| A statistical performance analyzer framework for OpenCL kernels on Nvidia GPUs A Karami, F Khunjush, SA Mirsoleimani The Journal of Supercomputing 71, 2900-2921, 2015 | 16 | 2015 |
| Network processor design: issues and challenges F Khunjush, MW El-Kharashi, KF Li, NJ Dimopoulos 2003 IEEE Pacific Rim Conference on Communications Computers and Signal …, 2003 | 16 | 2003 |
| Lazy direct-to-cache transfer during receive operations in a message passing environment F Khunjush, NJ Dimopoulos Proceedings of the 3rd Conference on Computing Frontiers, 331-340, 2006 | 15 | 2006 |
| Migration-less energy-aware task scheduling policies in cloud environments S Hosseinimotlagh, F Khunjush, S Hosseinimotlagh 2014 28th International Conference on Advanced Information Networking and …, 2014 | 14 | 2014 |
| A two-tier design space exploration algorithm to construct a gpu performance predictor SA Mirsoleimani, A Karami, F Khunjush International Conference on Architecture of Computing Systems, 135-146, 2014 | 13 | 2014 |
| Ignite-GPU: a GPU-enabled in-memory computing architecture on clusters AH Sojoodi, M Salimi Beni, F Khunjush The Journal of Supercomputing 77, 3165-3192, 2021 | 12 | 2021 |
Javad DoganiIMDEA Network InstituteVerified email at imdea.org
