Hardware Acceleration of EDA Algorithms Custom ICs, FPGAs and GPUs /

• Κύριοι συγγραφείς: Gulati, Kanupriya (Συγγραφέας), Khatri, Sunil P. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2010.
• Θέματα: Engineering.; Computer-aided engineering.; Electronic circuits.; Circuits and Systems.; Computer-Aided Engineering (CAD, CAE) and Design.

Hardware Acceleration of EDA Algorithms: Custom ICs, FPGAs and GPUs Kanupriya Gulati Sunil P. Khatri This book deals with the acceleration of EDA algorithms using hardware platforms such as Custom ICs, FPGAs and GPUs. Widely applied CAD algorithms are studied for potential acceleration on these plat...

Πίνακας περιεχομένων:

• Alternative Hardware Platforms
• Hardware Platforms
• GPU Architecture and the CUDA Programming Model
• Control Dominated Category
• Accelerating Boolean Satisfiability on a Custom IC
• Accelerating Boolean Satisfiability on an FPGA
• Accelerating Boolean Satisfiability on a Graphics Processing Unit
• Control Plus Data Parallel Applications
• Accelerating statistical static Timing Analysis Using Graphics Processors
• Accelerating Fault Simulation Using Graphics Processors
• Fault Table Generation Using Graphics Processors
• Accelerating Circuit Simulation Using Graphics Processors
• Automated Generation of GPU Code
• Automated Approach for Graphics Processor Based Software Acceleration
• Conclusions.