Shypd.aiThe largest open index of AI toolsDREAMPlace is an open-source deep learning toolkit-enabled VLSI placement tool that leverages deep learning for flexible and efficient placement solutions. It runs on both CPU and GPU, offering significant speedup over CPU implementations.
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DREAMPlace is an open-source, deep learning toolkit-enabled VLSI placement tool designed for flexibility and efficiency in very large-scale integration (VLSI) design. It supports both CPU and GPU execution, achieving over 30X speedup in global placement and legalization compared to CPU implementations like RePlAce on ISPD 2005 benchmarks with a Nvidia Tesla V100 GPU. The tool integrates ABCDPlace, a GPU-accelerated detailed placer, which provides around 16X speedup on million-size benchmarks over NTUPlace3. Key features include multi-threaded CPU and optional GPU acceleration, net weighting, incremental placement, LEF/DEF support, and Python binding. It also supports timing optimization in global placement, fence regions, and deterministic modes.
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