Lazy direct-to-cache transfer during receive operations in a message passing environment. - Farshad Khunjush; Nikitas J. Dimopoulos (Conf. Computing Frontiers, 2006)

Hiding message delivery and reducing memory access latency by providing direct-to-cache transfer during receive operations in a message passing environment. - Farshad Khunjush; Nikitas J. Dimopoulos (SIGARCH Comput. Archit. News, 2006)

Comparing Direct-to-Cache Transfer Policies to TCP/IP and M-VIA During Receive Operations in MPI Environments. - Farshad Khunjush; Nikitas J. Dimopoulos (ISPA, 2007)

Extended characterization of DMA transfers on the Cell BE processor. - Farshad Khunjush; Nikitas J. Dimopoulos (IPDPS, 2008)

Hiding message delivery latency using Direct-to-Cache-Transfer techniques in message passing environments. - Farshad Khunjush; Nikitas J. Dimopoulos (Microprocess. Microsystems, 2009)

Single-port and multi-port collective communication operations on single and dual Cell BE processor systems. - Farshad Khunjush; David Gong; Nikitas J. Dimopoulos (Int. J. Commun. Networks Distributed Syst., 2011)

Using indirection to minimize message delivery latency on cache-less many-core architectures. - Anthony Kroeker; Nikitas J. Dimopoulos; Farshad Khunjush (CCECE, 2012)

A Novel Implementation of Double Precision and Real Valued ICA Algorithm for Bioinformatics Applications on GPUs. - Amin Foshati; Farshad Khunjush (Euro-Par Workshops, 2012)

A parallel memetic algorithm on GPU to solve the task scheduling problem in heterogeneous environments. - Sayyed Ali Mirsoleimani; Ali Karami; Farshad Khunjush (GECCO, 2013)

Migration-less Energy-Aware Task Scheduling Policies in Cloud Environments. - Seyedmehdi Hosseinimotlagh; Farshad Khunjush; Seyedmahyar Hosseinimotlagh (AINA Workshops, 2014)

A Two-Tier Design Space Exploration Algorithm to Construct a GPU Performance Predictor. - Sayyed Ali Mirsoleimani; Ali Karami; Farshad Khunjush (ARCS, 2014)

A Cooperative Two-Tier Energy-Aware Scheduling for Real-Time Tasks in Computing Clouds. - Seyedmehdi Hosseinimotlagh; Farshad Khunjush; Seyedmahyar Hosseinimotlagh (PDP, 2014)

A two-tier design space exploration algorithm to construct GPU performance model. - S. Ali Mirsoleimani; Farshad Khunjush; Ali Karami (J. Syst. Archit., 2015)

SEATS: smart energy-aware task scheduling in real-time cloud computing. - Seyedmehdi Hosseinimotlagh; Farshad Khunjush; Rashidaldin Samadzadeh (J. Supercomput., 2015)

A statistical performance analyzer framework for OpenCL kernels on Nvidia GPUs. - Ali Karami; Farshad Khunjush; Seyyed Ali Mirsoleimani (J. Supercomput., 2015)

Adaptive sparse matrix representation for efficient matrix-vector multiplication. - Pantea Zardoshti; Farshad Khunjush; Hamid Sarbazi-Azad (J. Supercomput., 2016)

Optimal data aggregation tree in wireless sensor networks based on improved river formation dynamics. - Saeed Mehrjoo; Farshad Khunjush (Comput. Intell., 2018)

Distributed semi-adaptive compressive sensing data collection in wireless sensor networks. - Saeed Mehrjoo; Farshad Khunjush (Int. J. Commun. Syst., 2018)

Accurate compressive data gathering in wireless sensor networks using weighted spatio-temporal compressive sensing. - Saeed Mehrjoo; Farshad Khunjush (Telecommun. Syst., 2018)

Fully distributed sleeping compressive data gathering in wireless sensor networks. - Saeed Mehrjoo; Farshad Khunjush; Amir Ghaedi (IET Commun., 2020)

An Enhanced Dynamic Weighted Incremental Technique for QoS Support in NoC. - Alireza Monemi; Farshad Khunjush; Maurizio Palesi; Hamid Sarbazi-Azad (ACM Trans. Parallel Comput., 2020)

Enabling the Analysis of Mental Health Patterns Using an Efficient Machine Learning Approach. - Saleh Afzoon; Nabi Rezvani; Farshad Khunjush (EDOC Workshops, 2021)

A methodology for the SPICE-Compatible modelling of metal-semiconductor-metal photodetectors for nanophotonic interconnects application. - Arash Qodratnama; Farshad Khunjush; Mohsen Raji (Microelectron. J., 2021)

Ignite-GPU: a GPU-enabled in-memory computing architecture on clusters. - Amir Hossein Sojoodi; Majid Salimi Beni; Farshad Khunjush (J. Supercomput., 2021)

K-AGRUED: A Container Autoscaling Technique for Cloud-based Web Applications in Kubernetes Using Attention-based GRU Encoder-Decoder. - Javad Dogani; Farshad Khunjush; Mehdi Seydali (J. Grid Comput., 2022)

A longitudinal study of the evolution of opinions about open access and its main features: a twitter sentiment analysis. - Hajar Sotudeh; Zeinab Saber; Farzin Ghanbari Aloni; Mahdieh Mirzabeigi; Farshad Khunjush (Scientometrics, 2022)

CBS: A Deep Learning Approach for Encrypted Traffic Classification With Mixed Spatio-Temporal and Statistical Features. - Mehdi Seydali; Farshad Khunjush; Behzad Akbari; Javad Dogani (IEEE Access, 2023)

Host load prediction in cloud computing with Discrete Wavelet Transformation (DWT) and Bidirectional Gated Recurrent Unit (BiGRU) network. - Javad Dogani; Farshad Khunjush; Mehdi Seydali (Comput. Commun., 2023)

Auto-SpMV: Automated Optimizing SpMV Kernels on GPU. - Mina Ashoury; Mohammad Loni; Farshad Khunjush; Masoud Daneshtalab (CoRR, 2023)

Multivariate workload and resource prediction in cloud computing using CNN and GRU by attention mechanism. - Javad Dogani; Farshad Khunjush; Mohammad Reza Mahmoudi; Mehdi Seydali (J. Supercomput., 2023)

Auto-scaling techniques in container-based cloud and edge/fog computing: Taxonomy and survey. - Javad Dogani; Reza Namvar; Farshad Khunjush (Comput. Commun., 2023)

Proactive auto-scaling technique for web applications in container-based edge computing using federated learning model. - Javad Dogani; Farshad Khunjush (J. Parallel Distributed Comput., 2024)

A two-tier multi-objective service placement in container-based fog-cloud computing platforms. - Javad Dogani; Ali Yazdanpanah; Arash Zare; Farshad Khunjush (Clust. Comput., 2024)

Streaming traffic classification: a hybrid deep learning and big data approach. - Mehdi Seydali; Farshad Khunjush; Javad Dogani (Clust. Comput., 2024)