@article{890931,
      note = {International conference proceedings.},
      author = {Schoeberl, Martin, and Hochberger, Christian, and Uhrig,  Sascha, and Brehm, Jürgen, and Pionteck, Thilo,},
      url = {http://library.usi.edu/record/890931},
      title = {Architecture of computing systems -- ARCS 2019 : 32nd  International Conference, Copenhagen, Denmark, May 20-23,  2019, Proceedings /. ARCS (Conference)},
      abstract = {This book constitutes the proceedings of the 32nd  International Conference on Architecture of Computing  Systems, ARCS 2019, held in Copenhagen, Denmark, in May  2019. The 24 full papers presented in this volume were  carefully reviewed and selected from 40 submissions. ARCS  has always been a conference attracting leading-edge  research outcomes in Computer Architecture and Operating  Systems, including a wide spectrum of topics ranging from  embedded and real-time systems all the way to large-scale  and parallel systems. The selected papers are organized in  the following topical sections: Dependable systems;  real-time systems; special applications; architecture;  memory hierarchy; FPGA; energy awareness; NoC/SoC. The  chapter 'MEMPower: Data-Aware GPU Memory Power Model' is  open access under a CC BY 4.0 license at  link.springer.com.},
      doi = {https://doi.org/10.1007/978-3-030-18656-2,  https://doi.org/10.1007/978-3-030-18},
      recid = {890931},
      pages = {1 online resource (xix, 335 pages) :},
}