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.