SHEPHERD

Cross-layer Resilience for Rack-scale Disaggregated Memory

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.

publications

            1. CAL
              The Case for Replication-Aware Memory-Error Protection in Disaggregated Memory
              Volos, Haris
              IEEE Computer Architecture Letters 2021

                funding info

                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