The rapid rise in social connectivity and e-commerce requires increasing computer memory to store and process larger amounts of data with low latency. But more computer memory means more memory errors, which can disrupt service availability and cause data loss. In this context, SHEPHERD investigates cross-layer memory resilience techniques where software and hardware work together to prevent service unavailability and data loss due to memory errors in disaggregated memory with low overhead.
CALThe Case for Replication-Aware Memory-Error Protection in Disaggregated MemoryIEEE Computer Architecture Letters 2021
Grant agreement ID: 101029391
Start date: 1 September 2021
End date: 30 December 2024
Funded under: H2020-EU.1.3.2.
Coordinated by: University of Cyprus