Nowadays, embedded systems are comprised of heterogeneous multi-core architectures, ie,
CPUs and GPUs. If the application is mapped to an appropriate processing core, then these …

Heterogeneous computing machines consisting of a CPU and one or more GPUs are
increasingly being used today because of their higher performance-cost ratio and lower …

With the improvement of global infrastructure, Cyber-Physical Systems (CPS) have become
an important component of Industry 4.0. Both the application as well as the machine work …

Heterogeneous systems composed of multiple CPUs and GPUs are progressively attractive
as platforms for high performance computing because of their higher performance …

Like other emerging fields, Stream Processing Engines (SPEs) pose several challenges to
the researchers such as resource awareness, dynamic configurations, heterogeneous …

Cyber-physical systems (CPS) consist of a variety of multicore architectures, including
central processing units (CPU) and graphical processing units (GPU). In general …

Like other emerging fields, Stream Processing Engines (SPEs) pose several challenges to
the researchers eg, resource awareness, dynamic configurations, heterogeneous clusters …

In the heterogeneous computing environment, programmers map the applications either on
CPUs or GPUs. However, this default mapping process does not produce improved results …

Massive data parallelism can be achieved by using general-purpose graphics processing
units (GPGPU) with the help of the OpenCL framework. When smaller data with higher GPU …

The task scheduling in a heterogeneous environment is one of the most important issues to
be considered by the platform providers. The efficient use of all available computing devices …