Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.04129 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866909603088826368 |
|---|---|
| author | Vural, Turan Yuminaga, Yuki Petrosyan, Alex Livshits, Ben |
| author_facet | Vural, Turan Yuminaga, Yuki Petrosyan, Alex Livshits, Ben |
| contents | 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%. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_04129 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Maxing Out the SVM: Performance Impact of Memory and Program Cache Sizes in the Agave Validator Vural, Turan Yuminaga, Yuki Petrosyan, Alex Livshits, Ben Distributed, Parallel, and Cluster Computing 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%. |
| title | Maxing Out the SVM: Performance Impact of Memory and Program Cache Sizes in the Agave Validator |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2505.04129 |