tailieunhanh - Hardware Acceleration of EDA Algorithms: Custom ICs, FPGAs and GPUs
This book deals with the acceleration of EDA algorithms using hardware platforms such as FPGAs and GPUs. Widely applied CAD algorithms are evaluated and compared for potential acceleration on FPGAs and GPUs. Coverage includes discussion of conditions under which it is preferable to use one platform over another, ., when an EDA problem has a high degree of data parallelism, the GPU is typically the preferred platform, whereas when the problem has more control, an FPGA may be preferred. Results are presented for the acceleration of several CAD algorithms (fault simulation, fault table generation, model card evaluation in SPICE, Monte. | Simpo PDF Merge and Split I Kanupriya Gulati Sunil p. Khatri Hardware Acceleration of EDA Algorithms Custom ICs FPGAs and GPUs Springer Simpo PDF Merge and Split Unregistered Version - http Hardware Acceleration of EDA Algorithms Simpo PDF Merge and Split Unregistered Version - http .
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