Architecture of Computing Systems – ARCS 2019
Redigert av Christian Hochberger, Thilo Pionteck, Sascha Uhrig, Martin Schoeberl, Jurgen Brehm, 2019.Del av serien Lecture Notes in Computer Science.
32nd International Conference, Copenhagen, Denmark, May 20–23, 2019, Proceedings
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.
Ved å fullføre kjøpet aksepterer jeg kjøpsvilkårene.
Ikke tilgjengelig for Klikk&Hent
På nettlager. Bestilles fra England. Leveres normalt innen 5-8 virkedager.
Architecture of Computing Systems – ARCS 2019
Redigert av Christian Hochberger, Thilo Pionteck, Sascha Uhrig, Martin Schoeberl, Jurgen Brehm, 2019.Del av serien Lecture Notes in Computer Science.
32nd International Conference, Copenhagen, Denmark, May 20–23, 2019, Proceedings
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.
Ved å fullføre kjøpet aksepterer jeg kjøpsvilkårene.
Ikke tilgjengelig for Klikk&Hent
På nettlager. Bestilles fra England. Leveres normalt innen 5-8 virkedager.
Ved å fullføre kjøpet aksepterer du kjøpsvilkårene.
