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FPL
2009
Springer

Performance comparison of single-precision SPICE Model-Evaluation on FPGA, GPU, Cell, and multi-core processors

10 years 8 months ago
Performance comparison of single-precision SPICE Model-Evaluation on FPGA, GPU, Cell, and multi-core processors
Automated code generation and performance tuning techniques for concurrent architectures such as GPUs, Cell and FPGAs can provide integer factor speedups over multi-core processor organizations for data-parallel, floating-point computation in SPICE Model-Evaluation. Our Verilog AMS compiler produces code for parallel evaluation of non-linear circuit models suitable for use in SPICE simulations where the same model is evaluated several times for all the devices in the circuit. Our compiler uses architecture specific parallelization strategies (OpenMP for multi-core, PThreads for Cell, CUDA for GPU, statically scheduled VLIW for FPGA) when producing code for these different architectures. We automatically explore different implementation configurations (e.g. unroll factor, vector length) using our performance-tuner to identify the best possible configuration for each architecture. We demonstrate speedups of 3–
Nachiket Kapre, André DeHon
Added 24 Jul 2010
Updated 24 Jul 2010
Type Conference
Year 2009
Where FPL
Authors Nachiket Kapre, André DeHon
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