2025/05/07 by Turan Vural, Yuki Yuminaga, Vural, Turan +5
Computer Science · #Advanced Data Storage Technologies #Distributed #Distributed systems and fault tolerance #FOS: Computer and information sciences #Parallel #Parallel Computing and Optimization Techniques #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.2505.04129
openalex publication_date 2025/05/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper we analyze some of the bottlenecks in the execution pipeline of Solana's Agave validator client, focusing on RAM and program cache usage under mainnet conditions. Through a series of controlled experiments, we measure the validator's throughput and resource efficiency as RAM availability ranges between 128 GB to 1,536 GB (1.5 TB). We discover that the validator performance degrades significantly below 256 GB, with transaction processing falling behind real-time block production. Additionally, we study the program cache behavior, identifying inefficiencies in program eviction and load latency. Our results provide practical guidance for hardware provisioning and suggest improvements to the Solana execution and caching strategy, reducing latency due to the program cache by 90%.