Static scheduling of a program represented by a directed task graph on a multiprocessor
system to minimize the program completion time is a well-known problem in parallel …

Workflow scheduling is one of the challenging issues in emerging trends of the distributed
environment that focuses on satisfying various quality of service (QoS) constraints. The …

Advances in wireless communications are empowering the emerging Internet-of-Things
(IoT) applications and services with billions of connected devices. Mobile-edge computing …

DNN layers are multi-dimensional loops that can be ordered, tiled, and scheduled in myriad
ways across space and time on DNN accelerators. Each of these choices is called a …

It is known that deeper and wider neural networks can achieve better accuracy. But it is
difficult to continue the trend to increase model size due to limited GPU memory. One …

Efficient application scheduling is critical for achieving high performance in heterogeneous
computing environments. The application scheduling problem has been shown to be NP …

On parallel and distributed heterogeneous computing systems, a heuristic-based task
scheduling algorithm typically consists of two phases: task prioritization and processor …

Metaheuristics are the most exciting development in approximate optimization techniques of
the last two decades. They have had widespread successes in attacking a variety of difficult …

To program in distributed computing environments such as grids and clouds, workflow is
adopted as an attractive paradigm for its powerful ability in expressing a wide range of …

Mobile devices are increasingly being relied on for services that go beyond simple
connectivity and require more complex processing. Fortunately, a mobile device encounters …