FPGA Accelerated Simulation of Computer Systems

This book PDF is perfect for those who love Technology & Engineering genre, written by Hari Angepat and published by Springer Nature which was released on 31 May 2022 with total hardcover pages 64. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related FPGA Accelerated Simulation of Computer Systems books below.

FPGA Accelerated Simulation of Computer Systems
Author : Hari Angepat
File Size : 50,7 Mb
Publisher : Springer Nature
Language : English
Release Date : 31 May 2022
ISBN : 9783031017445
Pages : 64 pages
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FPGA Accelerated Simulation of Computer Systems by Hari Angepat Book PDF Summary

To date, the most common form of simulators of computer systems are software-based running on standard computers. One promising approach to improve simulation performance is to apply hardware, specifically reconfigurable hardware in the form of field programmable gate arrays (FPGAs). This manuscript describes various approaches of using FPGAs to accelerate software-implemented simulation of computer systems and selected simulators that incorporate those techniques. More precisely, we describe a simulation architecture taxonomy that incorporates a simulation architecture specifically designed for FPGA accelerated simulation, survey the state-of-the-art in FPGA-accelerated simulation, and describe in detail selected instances of the described techniques. Table of Contents: Preface / Acknowledgments / Introduction / Simulator Background / Accelerating Computer System Simulators with FPGAs / Simulation Virtualization / Categorizing FPGA-based Simulators / Conclusion / Bibliography / Authors' Biographies

FPGA Accelerated Simulation of Computer Systems

To date, the most common form of simulators of computer systems are software-based running on standard computers. One promising approach to improve simulation performance is to apply hardware, specifically reconfigurable hardware in the form of field programmable gate arrays (FPGAs). This manuscript describes various approaches of using FPGAs to accelerate

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