As hardware designers turn toward multicore processors to improve computing power, software programmers must find new programming strategies that harness the power of parallel computing. One technique ...

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

Real-time scheduling of parallel tasks in multiprocessor systems is a critical field that underpins the reliability and efficiency of modern computing in applications ranging from embedded systems to ...