
Anisha Kulkarni enhanced the google-ai-edge/LiteRT repository by updating the OpenVINO compiler plugin to support multiple SoC models, enabling dynamic NPU platform selection during ahead-of-time compilation. She introduced a mapping between soc_model and NPU_PLATFORM using a supported_soc.csv file, integrating this logic into the AOT compile path to ensure correct platform binding based on the selected SoC. The just-in-time compilation flow remained device-specific, preserving existing behavior. Anisha validated the new SOC-based configuration with targeted test harnesses, confirming expected outcomes for different Intel NPU models. Her work leveraged C++, compiler design, and embedded systems expertise to improve hardware portability.
February 2026: LiteRT OpenVINO compiler enhancement delivering multi-SoC model support with dynamic NPU platform selection during AOT compilation based on the selected soc_model. JIT flow remains per-device and does not apply NPU_PLATFORM. Introduced soc_model to NPU_PLATFORM mapping via supported_soc.csv and wired it into the AOT compile path to ensure correct platform binding. Validated SOC-based behavior with test harness, confirming expected outcomes for NPU50xx (pass) and guiding behavior for NPU50x. This work reduces manual reconfiguration, increases hardware portability, and accelerates deployment across Intel NPUs.
February 2026: LiteRT OpenVINO compiler enhancement delivering multi-SoC model support with dynamic NPU platform selection during AOT compilation based on the selected soc_model. JIT flow remains per-device and does not apply NPU_PLATFORM. Introduced soc_model to NPU_PLATFORM mapping via supported_soc.csv and wired it into the AOT compile path to ensure correct platform binding. Validated SOC-based behavior with test harness, confirming expected outcomes for NPU50xx (pass) and guiding behavior for NPU50x. This work reduces manual reconfiguration, increases hardware portability, and accelerates deployment across Intel NPUs.

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