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- W4281558009 abstract "Computational Lithography has come a long way since its inception in the mid-nineties. The problem it solves is both fundamental and difficult, and if one believes in the continuation of Moore’s Law, one can only conclude that this problem is going to become exponentially more challenging. With the relentless march of technology nodes, we have had to squeeze increasingly complex Physics into a limiting compute envelope; several assumptions that were made thus far to arrive at practical computational lithography solutions might soon become invalid. To keep pace with this increasing complexity, computational lithography must change. An obvious path to the next generation of computational lithography solutions is to take advantage of the awesome capabilities of modern GPUs. To do this optimally, we believe, one must reimagine and rearchitect the basic algorithms of computational lithography. This talk will provide both a historic context to this evolution, as well as a glimpse into NVIDIA’s efforts and collaborations to enable next generation computational lithography for the semiconductor industry at large." @default.
- W4281558009 created "2022-05-27" @default.
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- W4281558009 date "2022-06-13" @default.
- W4281558009 modified "2023-10-04" @default.
- W4281558009 title "Computational lithography: accelerating the future" @default.
- W4281558009 doi "https://doi.org/10.1117/12.2640423" @default.
- W4281558009 hasPublicationYear "2022" @default.
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