Facilitating Easier Access to FPGAs in the Heterogeneous Cloud Ecosystems

With FPGAs being increasingly integrated into existing software-based heterogeneous cloud environments, novel evaluation mechanisms are required to reveal the energy performance trade-offs of accelerators (FPGAs, GPUs, etc) in high-level heterogeneous programming environments. For FPGAs, this involves also a reconsideration of scheduling policies and reconfiguration methods with an aim of integrating software based approaches as well as performance optimizations for wider workload sizes. The approaches are evaluated using various reconfiguration methodologies for a number of applications.