• Modeling Energy Consumption of Computing Systems: from Homogeneous to Heterogeneous Systems 

      Tran, Vi Ngoc-Nha (Doctoral thesis; Doktorgradsavhandling, 2019-09-06)
      Nowadays, reducing energy consumption and improving the energy efficiency of computing systems become ones of the leading research topics in computer science. In order to improve energy efficiency, it is crucial to understand how computing systems consume energy. Power and energy models provide prediction and insight into how computing systems consume power and energy. However, it is challenging to ...
    • Power models, energy models and libraries for energy-efficient concurrent data structures and algorithms 

      Ha, Hoai Phuong; Tran, Vi Ngoc-Nha; Umar, Ibrahim; Atalar, Aras; Gidenstam, Anders; Renaud-Goud, Paul; Tsigas, Philippas; Walulya, Ivan (Research report; Forskningsrapport, 2016)
      This deliverable reports the results of the power models, energy models and librariesfor energy-efficient concurrent data structures and algorithms as available by projectmonth 30 of Work Package 2 (WP2). It reports i) the latest results of Task 2.2-2.4 onproviding programming abstractions and libraries for developing energy-efficient datastructures and algorithms and ii) the improved results of ...
    • Report on the final prototype of programming abstractions for energy-efficient inter-process communication 

      Ha, Hoai Phuong; Tran, Vi Ngoc-Nha; Umar, Ibrahim; Atalar, Aras; Gidenstam, Anders; Renaud-Goud, Paul; Tsigas, Philippas; Walulya, Ivan (Research report; Forskningsrapport, 2016)
      Work package 2 (WP2) aims to develop libraries for energy-efficient inter-processcommunication and data sharing on the EXCESS platforms. The Deliverable D2.4reports on the final prototype of programming abstractions for energy-efficient inter-process communication. Section 1 is the updated overview of the prototype of pro-gramming abstraction and devised power/energy models. The Section 2-6 contain ...
    • vCOMBAT: a novel tool to create and visualize a computational model of bacterial antibiotic target-binding 

      Tran, Vi Ngoc-Nha; Shams, Alireza; Ascioglu, Sinan; Martinecz, Antal; Liang, Jingyi; Clarelli, Fabrizio; Mostowy, Rafal; Cohen, Ted; Abel zur Wiesch, Pia (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-06)
      Background: As antibiotic resistance creates a signifcant global health threat, we need not only to accelerate the development of novel antibiotics but also to develop better treatment strategies using existing drugs to improve their efcacy and prevent the selection of further resistance. We require new tools to rationally design dosing regimens from data collected in early phases of antibiotic ...