Hardware bottlenecks refer to limitations in the physical components of a computing system that restrict overall performance. These constraints can arise from insufficient processing power, memory capacity, or data transfer speeds. In the context of digital asset operations, they can hinder transaction processing, mining efficiency, or data storage.
Context
Hardware bottlenecks are a persistent challenge in scaling blockchain networks and optimizing cryptocurrency mining operations. News frequently reports on advancements in specialized hardware, such as ASICs for mining, designed to overcome these limitations. Addressing these constraints is crucial for enhancing the speed, efficiency, and decentralization of digital asset systems.
This research identifies Number-Theoretic Transform as the critical bottleneck in GPU-accelerated Zero-Knowledge Proofs, proposing optimizations for enhanced verifiable computation.
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