This technical talk explores how UADK (Unified Acceleration Development Kit) has evolved from supporting only hardware accelerators to now including CPU-based accelerators such as Cryptographic Extensions (CE) and Scalable Vector Extensions (SVE) for optimized performance. Learn about the current limitations where only one accelerator type can be used at a time, and discover the roadmap for implementing heterogeneous scheduling that would enable simultaneous use of multiple accelerator types. Understand the technical approach to intelligently distribute workloads across hardware accelerators, CPU instruction-based accelerators, and future acceleration technologies based on their specific capabilities and the nature of processing tasks, ultimately aiming to maximize overall system performance through optimal resource utilization.