FPGA accelerators are being applied in various types of systems ranging from embedded
systems to cloud computing for their high performance and energy efficiency. Given the …

Modern datacenters are reinforcing the computational power and energy efficiency by
assimilating field programmable gate arrays (FPGAs). The sustainability of this large-scale …

“Cloud-native” is the umbrella adjective describing the standard approach for developing
applications that exploit cloud infrastructures' scalability and elasticity at their best. As the …

Heterogeneous computing platforms are now a valuable solution to continue to meet
Service Level Agreements (SLAs) for compute intensive cloud workloads. Field …

With growing Field Programmable Gate Array (FPGA) device sizes and their integration in
environments enabling sharing of computing resources such as cloud and edge computing …

Due to the ongoing slowdown of Dennard scaling, heterogeneous hardware architectures
are inevitable to meet the increasing demand for energy efficient systems. However, one of …

Abstract Machine Learning algorithms, such as classification and clustering techniques,
have gained significant traction over the last years because they are vital to many real-world …

Accurate and efficient Machine Learning algorithms are of vital importance to many
problems, especially on classification or clustering tasks. One the most important algorithms …

Today, using multiple heterogeneous accelerators efficiently from applications and high-
level frameworks, such as Tensor-Flow and Caffe, poses significant challenges in three …

This thesis shows that it is feasible to build modular FPGA systems which can dynamically
change the hardware resources in the spatial and the temporal domains using existing tools …