While modern parallel computing systems offer high performance, utilizing these powerful
computing resources to the highest possible extent demands advanced knowledge of …

While heterogeneous architectures are increasing popular with High Performance
Computing systems, their effectiveness depends on how efficient the scheduler is at …

Heterogeneous computing systems provide high performance and energy efficiency.
However, to optimally utilize such systems, solutions that distribute the work across host …

Heterogeneous Multiprocessors (HMPs) are popular due to their energy efficiency over
Symmetric Multicore Processors (SMPs). Asymmetric Multicore Processors (AMPs) are a …

Auto-tuning of configuration and application parameters allows to achieve significant
performance gains in many contemporary compute-intensive applications. Feasible search …

Low-power embedded technology offers a roadmap for enabling deep learning (DL)
applications in mobile scenarios, like future autonomous vehicles. However, the lack of …

Ant colony optimization (ACO) can be used to solve complex optimization problems in
engineering, economic management and military strategy. Most of these are NP hard …

This thesis deals with the problem of finding effective methods for programming and
distributing data-parallel applications for heterogeneous multiprocessor systems. These …

Modern hardware systems consist of highly-complex multi-processor hardware architectures
that are often supported by specialised accelerator devices. This has resulted in an …

Furthermore, we propose programming abstractions, a source-to-source compiler, and a run-
time system for heterogeneous stream computing. Given a source code annotated with …