Sascha Uhrig – författare

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5 produkter

Time-Predictable Architectures
AvSascha Uhrig,Pascal Sainratm. fl.
E-bok
PDF, Engelska, 2014
2 216 kr
Läs direkt efter köp
Building computers that can be used to design embedded real-time systems is the subject of this title. Real-time embedded software requires increasingly higher performances. The authors therefore consider processors that implement advanced mechanisms such as pipelining, out-of-order execution, branch prediction, cache memories, multi-threading, multicorearchitectures, etc. The authors of this book investigate the timepredictability of such schemes.
Time-Predictable Architectures
AvSascha Uhrig,Pascal Sainratm. fl.
E-bok
Engelska, 2014
2 193 kr
Läs direkt efter köp
Building computers that can be used to design embedded real-time systems is the subject of this title. Real-time embedded software requires increasingly higher performances. The authors therefore consider processors that implement advanced mechanisms such as pipelining, out-of-order execution, branch prediction, cache memories, multi-threading, multicorearchitectures, etc. The authors of this book investigate the timepredictability of such schemes.
Time-Predictable Architectures
AvChristine Rochange,Pascal Sainratm. fl.
Inbunden, Engelska, 2013
1 925 kr
Skickas inom 11-20 vardagar
Building computers that can be used to design embedded real-time systems is the subject of this title. Real-time embedded software requires increasingly higher performances. The authors therefore consider processors that implement advanced mechanisms such as pipelining, out-of-order execution, branch prediction, cache memories, multi-threading, multicorearchitectures, etc. The authors of this book investigate the timepredictability of such schemes.
Del 11479 - Lecture Notes in Computer Science
Architecture of Computing Systems – ARCS 2019
32nd International Conference, Copenhagen, Denmark, May 20–23, 2019, Proceedings
AvMartin Schoeberl,Christian Hochbergerm. fl.
Häftad, Engelska, 2019
733 kr
Skickas
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.
Architecture of Computing Systems - ARCS 2019
32nd International Conference, Copenhagen, Denmark, May 20–23, 2019, Proceedings
AvThilo Pionteck,Jurgen Brehmm. fl.
E-bok
Engelska, 2019
894 kr
Läs direkt efter köp
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.

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Sascha Uhrig – författare

Time-Predictable Architectures

Time-Predictable Architectures

Time-Predictable Architectures

Architecture of Computing Systems – ARCS 2019

Architecture of Computing Systems - ARCS 2019

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