Arsalan Shahid is a doctoral research scholar in Heterogeneous Computing Lab (HCL) at University College Dublin, Ireland. He is currently working on energy-aware massively parallel heterogeneous processing architectures. Arsalan graduated as gold medalist for best final year project in BS Electrical Engineering from HITEC University Pakistan, in 2016. Read More …

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I firmly believe that one is only as good; as benevolent he or she may be to the rest of the universe, systems, the people and self; in that order [98:7Quran]

  • Chief Operating Officer at KATech Software Ltd
  • Ph.D. Researcher at HCL, UCD
Recent Publications
  • Lastovetsky, A., M. Fahad, H. Khaleghzadeh, S. Khokhriakov, R. R. Manumachu, A. Shahid, L. Szustak, and R. Wyrzykowski, “How Pre-multicore Methods and Algorithms Perform in Multicore Era”, High Performance Computing. ISC High Performance 2018. Lecture Notes in Computer Science, vol 11203, Frankfurt, Springer Nature, pp. 527-539, 24-26 June, 2018, 2019, pdf, Google Scholar, DOI

  • A. Shahid, M. Y. Qadri, M. Fleury, H. Waris,  A. Ahmed, N. N. Qadri “AC-DSE: Approximate Computing For the Design Space Exploration of Reconfigurable MPSoCS”, in Journal of Circuits, Systems, and Computers World Scientific, Vol. 17, Issue 9, 01/2018, pdfGoogle ScholarDOI

  • A. Shahid, M. Fahad, R. Reddy, A. Lastovetsky, Additivity: A Selection Criterion for Performance Events for Reliable Energy Predictive Modeling” in Supercomputing Frontiers and Innovations, Vol. 4, Issue 4, 12/2017, pdfGoogle ScholarDOI

View more publications here

Released Softwares
  • DE-METERCalculate Dynamic Energy Consumption Using RAPL Meter, 2019, Code

  • AdditivityChecker: Check Performance Events (PMCs) for Additivity, 2018, PublicationCode

  • SLOPE-PMC: Towards the Automation of PMCs Collection for Modern Multicore Platforms, 2016-2018, Code

  • XenoJetBench (V2.0): An open source hard-real-time multiprocessor benchmark, 2016, PublicationCode