Phase-Guided Scheduling on Single-ISA Heterogeneous Multicore Processors. - Lina Sawalha; Sonya R. Wolff; Monte P. Tull; Ronald D. Barnes (DSD, 2011)

Thread scheduling for heterogeneous multicore processors using phase identification. - Lina Sawalha; Monte P. Tull; Ronald D. Barnes (SIGMETRICS Perform. Evaluation Rev., 2011)

Phase-based scheduling and thread migration for heterogeneous multicore processors. - Lina Sawalha; Ronald D. Barnes (PACT, 2012)

×86 computer architecture simulators: A comparative study. - Ayaz Akram; Lina Sawalha (ICCD, 2016)

ODR: On-Line Delay Reduction Approach for Transferring Dynamically-Generated Big Flows Leveraging Software-Defined Networks. - Samah Rahamneh; Lina Sawalha (EIT, 2018)

JMentor: An Ontology-Based Framework for Software Understanding and Reuse. - Majdi Rawashdeh; Awny Alnusair; Muder Almiani; Lina Sawalha (AICCSA, 2019)

A Study of Performance and Power Consumption Differences Among Different ISAs. - Ayaz Akram; Lina Sawalha (DSD, 2019)

An OpenCL-Based Acceleration for Canny Algorithm Using a Heterogeneous CPU-FPGA Platform. - Samah Rahamneh; Lina Sawalha (FCCM, 2019)

Efficient OpenCL Accelerators for Canny Edge Detection Algorithm on a CPU-FPGA Platform. - Samah Rahamneh; Lina Sawalha (ReConFig, 2019)

Validation of the gem5 Simulator for x86 Architectures. - Ayaz Akram; Lina Sawalha (PMBS@SC, 2019)

A Survey of Computer Architecture Simulation Techniques and Tools. - Ayaz Akram; Lina Sawalha (IEEE Access, 2019)

An optimization framework for dynamic pipeline management in computing systems. - Syed Rameez Naqvi; Anjum Zahid; Lina Sawalha; Syed Saud Naqvi; Tallha Akram; Sajjad Ali Haider; Kumar Yelamarthi; Maksim Jenihhin (Comput. Electr. Eng., 2019)

A Comparison of Different Optimization Algorithms for HW/SW Partitioning Using a High-Performance Cluster. - Samah Rahamneh; Alvis Cheuk M. Fong; Lina Sawalha (AICCSA, 2021)

Accurate Performance and Power Prediction for FPGAs Using Machine Learning. - Lina Sawalha; Tawfiq Abuaita; Martin Cowley; Sergei Akhmatdinov; Adam Dubs (FCCM, 2022)

Workload Characterization Using Hierarchical PCA. - Lina Sawalha; Grant Deljevic (ISPASS, 2023)