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GPU Applications
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Electronic Design Automation (EDA)

EDA involves a diverse set of software algorithms and applications that are required for the design of complex next generation semiconductor and electronics products. The increase in VLSI design complexity poses a significant challenge to EDA; application performance is not scaling effectively since microprocessor performance gains have been hampered due to increases in power and manufacturability issues, which accompany scaling. Digital systems are typically validated by distributing logic simulation tasks among huge compute farms for weeks at a time. Yet, the performance of simulation often falls behind, leading to incomplete verification and missed functional bugs. It is indeed no surprise that the semiconductor industry is always seeking for faster simulation solutions.

Recent trends in HPC are increasingly exploiting many-core GPUs to a competitive advantage through the use of such GPUs as a massively-parallel CPU co-processor to achieve speed up of computationally intensive EDA simulations including Verilog simulation, Signal Integrity & Electromagnetics, Computational Lithography, SPICE circuit simulation and more.

 

Verilog Simulation on GPUs with RocketSim

Verilog Simulation on GPUs with RocketSim [learn more]
(Source: Tomer Ben-David, Rocketick, Israel)

 

GPU accelerated full wave EM simulation to analyze crosstalk on the opposite side of the package

GPU accelerated full wave EM simulation to analyze crosstalk on the opposite side of the package (Source: Martin Timm, CST, Germany)

Verilog Simulation on GPUs with RocketSim

 
 
 
 

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