Meta AI (Facebook): Silent Data Corruptions at Scale

proposals focusing on mitigation of silent data corruptions within internet applications due to hardware faults affecting the data center computing stack (from hardware to compilers to applications). Proposals could range from hardware and architectural level mitigations and design strategies to test architecture evolution to software resiliency for silent data corruption.

Funding: $50,000

https://research.facebook.com/research-awards/2022-silent-data-corruptions-at-scale-request-for-proposals/