Arsalan Shahid

According to our database, Arsalan Shahid authored at least 16 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Building Trust in Conversational AI: A Comprehensive Review and Solution Architecture for Explainable, Privacy-Aware Systems using LLMs and Knowledge Graph.

Ahtsham Zafar, Venkatesh Balavadhani Parthasarathy, Chan Le Van, Saad Shahid, Aafaq Iqbal khan, Arsalan Shahid

CoRR, 2023

2022

Legal, Privacy, Social and Ethical Requirements and Impact Assessment for an Artificial Intelligence Based Medical Imaging Project.

Ceara Treacy, Gilbert Regan, Arsalan Shahid, Brian Maguire

Proceedings of the Systems, Software and Services Process Improvement, 2022

2021

Bi-Objective Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Performance and Energy Through Workload Distribution.

Hamidreza Khaleghzadeh, Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky

IEEE Trans. Parallel Distributed Syst., 2021

Big Data Warehouse for Healthcare-Sensitive Data Applications.

Arsalan Shahid, Thien-An Ngoc Nguyen, M. Tahar Kechadi

Sensors, 2021

Improving the accuracy of energy predictive models for multicore CPUs by combining utilization and performance events model variables.

Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky

J. Parallel Distributed Comput., 2021

Energy Predictive Models of Computing: Theory, Practical Implications and Experimental Analysis on Multicore Processors.

Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky

IEEE Access, 2021

2020

A Comparative Study of Techniques for Energy Predictive Modeling Using Performance Monitoring Counters on Modern Multicore CPUs.

Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky

IEEE Access, 2020

Accurate Energy Modelling of Hybrid Parallel Applications on Modern Heterogeneous Computing Platforms Using System-Level Measurements.

Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky

IEEE Access, 2020

SLMAD: Statistical Learning-Based Metric Anomaly Detection.

Arsalan Shahid, Gary White, Jaroslaw Diuwe, Alexandros Agapitos, Owen O'Brien

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

2019

Analytical models of Energy and Throughput for Caches in MPSoCs.

Arsalan Shahid, Muhammad Tayyab, Muhammad Yasir Qadri, Nadia N. Qadri, Jameel Ahmed

CoRR, 2019

Bi-objective Optimisation of Data-parallel Applications on Heterogeneous Platforms for Performance and Energy via Workload Distribution.

Hamidreza Khaleghzadeh, Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky

CoRR, 2019

Energy of Computing on Multicore CPUs: Predictive Models and Energy Conservation Law.

Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky

CoRR, 2019

Improving the Accuracy of Energy Predictive Models for Multicore CPUs Using Additivity of Performance Monitoring Counters.

Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky

Proceedings of the Parallel Computing Technologies, 2019

2018

AC-DSE: Approximate Computing for the Design Space Exploration of Reconfigurable MPSoCs.

Arsalan Shahid, Muhammad Yasir Qadri, Martin Fleury, Hira Waris, Ayaz Ahmad, Nadia N. Qadri

J. Circuits Syst. Comput., 2018

How Pre-multicore Methods and Algorithms Perform in Multicore Era.

Alexey L. Lastovetsky, Muhammad Fahad, Hamidreza Khaleghzadeh, Semyon Khokhriakov, Ravi Reddy, Arsalan Shahid, Lukasz Szustak, Roman Wyrzykowski

Proceedings of the High Performance Computing, 2018

2017

Additivity: A Selection Criterion for Performance Events for Reliable Energy Predictive Modeling.

Arsalan Shahid, Muhammad Fahad, Ravi Reddy, Alexey L. Lastovetsky

Supercomput. Front. Innov., 2017