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Farshad Khunjush
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2020 – today
- 2024
- [j23]Javad Dogani, Ali Yazdanpanah, Arash Zare, Farshad Khunjush:
A two-tier multi-objective service placement in container-based fog-cloud computing platforms. Clust. Comput. 27(4): 4491-4514 (2024) - [j22]Mehdi Seydali, Farshad Khunjush, Javad Dogani:
Streaming traffic classification: a hybrid deep learning and big data approach. Clust. Comput. 27(4): 5165-5193 (2024) - [j21]Javad Dogani
, Farshad Khunjush:
Proactive auto-scaling technique for web applications in container-based edge computing using federated learning model. J. Parallel Distributed Comput. 187: 104837 (2024) - 2023
- [j20]Mehdi Seydali
CBS: A Deep Learning Approach for Encrypted Traffic Classification With Mixed Spatio-Temporal and Statistical Features. IEEE Access 11: 141674-141702 (2023) - [j19]Javad Dogani
Host load prediction in cloud computing with Discrete Wavelet Transformation (DWT) and Bidirectional Gated Recurrent Unit (BiGRU) network. Comput. Commun. 198: 157-174 (2023) - [j18]Javad Dogani, Reza Namvar, Farshad Khunjush
Auto-scaling techniques in container-based cloud and edge/fog computing: Taxonomy and survey. Comput. Commun. 209: 120-150 (2023) - [j17]Javad Dogani, Farshad Khunjush
Multivariate workload and resource prediction in cloud computing using CNN and GRU by attention mechanism. J. Supercomput. 79(3): 3437-3470 (2023) - [i1]Mina Ashoury, Mohammad Loni, Farshad Khunjush, Masoud Daneshtalab:
Auto-SpMV: Automated Optimizing SpMV Kernels on GPU. CoRR abs/2302.05662 (2023) - 2022
- [j16]Javad Dogani, Farshad Khunjush
K-AGRUED: A Container Autoscaling Technique for Cloud-based Web Applications in Kubernetes Using Attention-based GRU Encoder-Decoder. J. Grid Comput. 20(4): 40 (2022) - [j15]Hajar Sotudeh
A longitudinal study of the evolution of opinions about open access and its main features: a twitter sentiment analysis. Scientometrics 127(10): 5587-5611 (2022) - 2021
- [j14]Arash Qodratnama
A methodology for the SPICE-Compatible modelling of metal-semiconductor-metal photodetectors for nanophotonic interconnects application. Microelectron. J. 115: 105170 (2021) - [j13]Amir Hossein Sojoodi
Ignite-GPU: a GPU-enabled in-memory computing architecture on clusters. J. Supercomput. 77(3): 3165-3192 (2021) - [c10]Saleh Afzoon
Enabling the Analysis of Mental Health Patterns Using an Efficient Machine Learning Approach. EDOC Workshops 2021: 59-66 - 2020
- [j12]Saeed Mehrjoo
Fully distributed sleeping compressive data gathering in wireless sensor networks. IET Commun. 14(5): 830-837 (2020) - [j11]Alireza Monemi
An Enhanced Dynamic Weighted Incremental Technique for QoS Support in NoC. ACM Trans. Parallel Comput. 7(2): 9:1-9:31 (2020)
2010 – 2019
- 2018
- [j10]Saeed Mehrjoo
Optimal data aggregation tree in wireless sensor networks based on improved river formation dynamics. Comput. Intell. 34(3): 802-820 (2018) - [j9]Saeed Mehrjoo
Distributed semi-adaptive compressive sensing data collection in wireless sensor networks. Int. J. Commun. Syst. 31(9) (2018) - [j8]Saeed Mehrjoo, Farshad Khunjush
Accurate compressive data gathering in wireless sensor networks using weighted spatio-temporal compressive sensing. Telecommun. Syst. 68(1): 79-88 (2018) - 2016
- [j7]Pantea Zardoshti
Adaptive sparse matrix representation for efficient matrix-vector multiplication. J. Supercomput. 72(9): 3366-3386 (2016) - 2015
- [j6]S. Ali Mirsoleimani, Farshad Khunjush
A two-tier design space exploration algorithm to construct GPU performance model. J. Syst. Archit. 61(10): 576-583 (2015) - [j5]Seyedmehdi Hosseinimotlagh, Farshad Khunjush
SEATS: smart energy-aware task scheduling in real-time cloud computing. J. Supercomput. 71(1): 45-66 (2015) - [j4]Ali Karami, Farshad Khunjush
A statistical performance analyzer framework for OpenCL kernels on Nvidia GPUs. J. Supercomput. 71(8): 2900-2921 (2015) - 2014
- [c9]Seyedmehdi Hosseinimotlagh
Migration-less Energy-Aware Task Scheduling Policies in Cloud Environments. AINA Workshops 2014: 391-397 - [c8]Sayyed Ali Mirsoleimani, Ali Karami, Farshad Khunjush
A Two-Tier Design Space Exploration Algorithm to Construct a GPU Performance Predictor. ARCS 2014: 135-146 - [c7]Seyedmehdi Hosseinimotlagh
A Cooperative Two-Tier Energy-Aware Scheduling for Real-Time Tasks in Computing Clouds. PDP 2014: 178-182 - 2013
- [c6]Sayyed Ali Mirsoleimani, Ali Karami, Farshad Khunjush
A parallel memetic algorithm on GPU to solve the task scheduling problem in heterogeneous environments. GECCO 2013: 1181-1188 - 2012
- [c5]Anthony Kroeker, Nikitas J. Dimopoulos, Farshad Khunjush
Using indirection to minimize message delivery latency on cache-less many-core architectures. CCECE 2012: 1-6 - [c4]Amin Foshati, Farshad Khunjush
A Novel Implementation of Double Precision and Real Valued ICA Algorithm for Bioinformatics Applications on GPUs. Euro-Par Workshops 2012: 285-294 - 2011
- [j3]Farshad Khunjush
Single-port and multi-port collective communication operations on single and dual Cell BE processor systems. Int. J. Commun. Networks Distributed Syst. 6(4): 373-391 (2011)
2000 – 2009
- 2009
- [j2]Farshad Khunjush
Hiding message delivery latency using Direct-to-Cache-Transfer techniques in message passing environments. Microprocess. Microsystems 33(7-8): 430-440 (2009) - 2008
- [c3]Farshad Khunjush
Extended characterization of DMA transfers on the Cell BE processor. IPDPS 2008: 1-8 - 2007
- [c2]Farshad Khunjush
Comparing Direct-to-Cache Transfer Policies to TCP/IP and M-VIA During Receive Operations in MPI Environments. ISPA 2007: 208-222 - 2006
- [j1]Farshad Khunjush
Hiding message delivery and reducing memory access latency by providing direct-to-cache transfer during receive operations in a message passing environment. SIGARCH Comput. Archit. News 34(1): 41-48 (2006) - [c1]Farshad Khunjush
Lazy direct-to-cache transfer during receive operations in a message passing environment. Conf. Computing Frontiers 2006: 331-340
Coauthor Index
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last updated on 2024-10-07 22:09 CEST by the dblp team
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