Self-configurable architecture for reusable systems with Accelerated Relocation Circuit (SCARS-ARC)

Abstract

Field Programmable Gate Arrays (FPGAs), with partial reconfiguration (PR) technology present an attractive option for creating reliable platforms that adapt to changes in user objectives over time and respond to hardware/software anomalies automatically with selfhealing action. Conventional solutions for partial reconfiguration based self-configurable architectures experience severe hardware limitations on ability to move any partially reconfigurable module to any available region of the reconfigurable fabric and ability to relocate the module quickly. In this study we adopt the hardwarebased partial bitstream relocation technique, Accelerated Relocation Circuit (ARC), into the FPGA based wirelessly networked self-configurable architecture that employs traditional module based partial reconfiguration strategy. We show that the integrated architecture allows flexibility for module relocation, reduces the off-chip communication overhead, and observes up to 17x speedup for module relocation over the traditional Xilinx hardware internal configuration access port wrapper (HWICAP) based implementation.

Toward exascale computing through neuromorphic approaches.

“…Much recent research has targeted field programmable gate arrays (FPGAs) as a way to produce self-healing, adaptive architectures necessary for mission-critical systems. Sreeramareddy et al "present an attractive option for creating reliable platforms that adapt to changes in user objectives over time and respond to hardware/software anomalies automatically with self-healing action" [16]. The first implementation of their technique involves a two-level hierarchical self-testing, at the component and network levels, that strives to identify faults at both fine and coarse granularity, with the intent of reducing the amount of logic required [17].…”

“…Circuit [16]. This technique allows flexible module relocation, less communication overhead, and faster performance for relocation over more traditional techniques.…”