Building Customized Hardware for Tuple Processing: A Deep Dive into Optimizing Performance and Cost
Custom hardware for tuple processing unlocks unprecedented efficiency gains, but designing it requires balancing performance, cost, and flexibility. This article explores a real-world case study where a tailored FPGA-based solution reduced latency by 40% while cutting power consumption by 25%, alongside actionable strategies for overcoming common pitfalls in hardware customization.