How Synopsys and NVIDIA Are Accelerating Semiconductor Scaling in the AI Age
For decades, the task of creating masks for the manufacturing process has been an integral part of semiconductor manufacturing. As we move to more advanced nodes like 5nm, 3nm to 2nm, accelerating computational lithography turnaround time is instrumental in getting the chips fabricated efficiently in semiconductor manufacturing companies. Synopsys has been a pioneer in this area with advanced techniques to accelerate distributed processing in areas like supercomputers.
Our latest collaboration with NVIDIA to run Synopsys Proteus Optical Proximity Correction (OPC) software on the NVIDIA cuLitho software library is just one example of how we are providing another powerful way to accelerate that process on GPUs, taking it from weeks to days.
What this means for foundries and customers using these solutions is substantially faster turnaround times to develop chips on increasingly smaller process nodes. “As applications such as AI and machine learning drive the demand for greater density from smaller chips, lithography processes need a substantial speed boost to keep up with the pace of innovation,” said Vivek Singh, vice president, Advanced Technology Group, NVIDIA. “By collaborating with Synopsys, we are accelerating the massive computational workloads that currently consume tens of billions of CPU hours every year, enabling the creation of new lithography solutions and more predictability in future semiconductor technologies.”
Read on to learn more about why this collaboration is good news for semiconductor scaling—and every application demanding more performance from smaller footprints.
Related Semiconductor IP
- AES GCM IP Core
- High Speed Ethernet Quad 10G to 100G PCS
- High Speed Ethernet Gen-2 Quad 100G PCS IP
- High Speed Ethernet 4/2/1-Lane 100G PCS
- High Speed Ethernet 2/4/8-Lane 200G/400G PCS
Related Blogs
- 2023 in Review: AI Takes Center Stage in the Eternal Quest for Innovation
- The Age of AI Demands Faster Chip Development: Only Arm and Cadence Deliver
- Arm Ethos-U85: Addressing the High Performance Demands of IoT in the Age of AI
- How Synopsys IP and TSMC's N12e Process are Driving AIoT
Latest Blogs
- Why Choose Hard IP for Embedded FPGA in Aerospace and Defense Applications
- Migrating the CPU IP Development from MIPS to RISC-V Instruction Set Architecture
- Quintauris: Accelerating RISC-V Innovation for next-gen Hardware
- Say Goodbye to Limits and Hello to Freedom of Scalability in the MIPS P8700
- Why is Hard IP a Better Solution for Embedded FPGA (eFPGA) Technology?