Abstract: Dynamic task scheduling is vital for optimizing performance and resource utilization, particularly in heterogeneous computing environments. The LLVM-based Julia programming language offers a ...

Abstract: Heterogeneous computing networks formed by modern cloud and edge collaboration pose dynamic resource scheduling as a key bottleneck for system performance. Rule-based traditional methods ...