Existing math kernel libraries have lacked portability across heterogeneous platforms—until now. A unifying programming model—and availability of standard library interfaces—enables development of performance-portable libraries among diverse hardware architectures. In this episode, we talk about a collaborative project to make this portability possible, and dive into Mehdi’s work to enable the first math library implementation for oneAPI on NVIDIA* GPUs.