74,95 €
74,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
37 °P sammeln
74,95 €
74,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
37 °P sammeln
Als Download kaufen
74,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
37 °P sammeln
Jetzt verschenken
74,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
37 °P sammeln
  • Format: PDF

Energy dissipation and efficiency have prevented the widespread use of FPGA devices in embedded systems. Helping overcome these challenges, this book offers solutions for the development of energy efficient applications using FPGAs. It provides a framework for high-level hardware-software application development, describes energy performance modeling for reconfigurable system-on-chip devices, and explores energy efficient designs for various applications. The authors present a two-step rapid energy estimation technique that enables high-level design space exploration and offer a…mehr

Produktbeschreibung
Energy dissipation and efficiency have prevented the widespread use of FPGA devices in embedded systems. Helping overcome these challenges, this book offers solutions for the development of energy efficient applications using FPGAs. It provides a framework for high-level hardware-software application development, describes energy performance modeling for reconfigurable system-on-chip devices, and explores energy efficient designs for various applications. The authors present a two-step rapid energy estimation technique that enables high-level design space exploration and offer a hardware-software design for energy efficient implementations of operating systems.

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Jingzhao Ou works for the DSP Design Tools and Methodologies Group at Xilinx in San Jose, California.

Viktor K. Prasanna is the Charles Lee Powell Chair in Engineering and professor of electrical engineering and computer science at the University of Southern California.