Last yr, NVIDIA launched its cuLitho software program library, which guarantees to hurry up photomask growth by as much as 40 occasions. Today, NVIDIA introduced a partnership with TSMC and Synopsys to implement its computational lithography platform for manufacturing use, and use the corporate’s next-generation Blackwell GPUs for AI and HPC purposes.
The growth of photomasks is a vital step for each chip ever made, and NVIDIA’s cuLitho platform, enhanced with new generative AI algorithms, considerably quickens this course of. NVIDIA says computational lithography consumes tens of billions of hours per yr on CPUs. By leveraging GPU-accelerated computational lithography, cuLitho considerably improves over conventional CPU-based strategies. For instance, 350 NVIDIA H100 methods can now change 40,000 CPU methods, leading to sooner manufacturing occasions, decrease prices, and diminished area and energy necessities.
NVIDIA claims its new generative AI algorithms present an extra 2x speedup on the already accelerated processes enabled by cuLitho. This enhancement is especially useful for the optical proximity correction (OPC) course of, permitting the creation of near-perfect inverse masks to account for gentle diffraction.
TSMC says that integrating cuLitho into its workflow has resulted in a 45x speedup of curvilinear flows and an virtually 60x enchancment in Manhattan-style flows. Curvilinear flows contain masks shapes represented by curves, whereas Manhattan masks shapes are restricted to horizontal or vertical orientations.
Synopsys, a number one developer of digital design automation (EDA), says that its Proteus masks synthesis software program operating on the NVIDIA cuLitho software program library has accelerated computational workloads in comparison with present CPU-based strategies. This acceleration is essential for enabling angstrom-level scaling and decreasing turnaround time in chip manufacturing.
The collaboration between NVIDIA, TSMC, and Synopsys represents a big development in semiconductor manufacturing basically and cuLitho adoption particularly. By leveraging accelerated computing and generative AI, the companions are pushing semiconductor scaling prospects and opening new innovation alternatives in chip designs.
