Optimizing Network Resilience Using Domain-Specific Hardware Accelerator for Dynamic Programming

Abstract

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Dynamic programming accelerators (DPAs) are devices designed with an instruction set optimized for dynamic programming (DP) operations. DP is fundamental to solving complex networking problems, particularly those involving fault tolerance and routing under dynamic conditions. This paper explores the use of DPA to accelerate network resilience by implementing an optimal routing algorithm that efficiently identifies alternative paths in response to link failures. The system’s performance is evaluated by comparing DPA implementation against conventional GPU-based and CPU-based solutions. Results show that DPA provides significant performance improvements, enabling faster recovery and improved robustness in dynamic network environments.