Spatial computing architectures promise a major stride in performance and energy efficiency
over the traditional load/store devices currently employed in large scale computing systems …

This book is the first ever to focus on the emerging field of self-aware computing from an
engineering perspective. It first comprehensively introduces fundamentals for self …

We present BurstZ+, an accelerator platform that eliminates the communication bottleneck
between PCIe-attached scientific computing accelerators and their host servers, via …

We present BurstZ, a bandwidth-efficient accelerator platform for scientific computing. While
accelerators such as GPUs and FPGAs provide enormous computing capabilities, their …

We present Automatic Reconfigurable Design Efficient Global Optimization (ARDEGO), a
new algorithm based on the existing Efficient Global Optimization (EGO) methodology for …

Hardware task scheduling and placement at runtime plays a crucial role in achieving better
system performance by exploring dynamically reconfigurable Field-Programmable Gate …

This paper proposes a novel hardware compilation approach targeting dataflow designs.
This approach is based on aspect-oriented programming to decouple design development …

This paper presents a novel approach for automatic optimisation of reconfigurable design
parameters based on knowledge transfer. The key idea is to make use of insights derived …

A design approach is proposed to automatically identify and exploit runtime reconfiguration
opportunities with optimised resource utilisation by eliminating idle functions. We introduce …

This chapter covers a reference architecture for describing and engineering computational
self-awareness and self-expression in computing systems. The architecture provides a …