The rise of alternative nonvolatile solid- state storage technology will change the architecture and uses of future consumer devices. Figure 1 shows a typical hierarchical view of memory and storage ...

Always-on AI sensor applications–based on deep neural networks (DNNs)–with sparse inference require low power consumption during both computing and idle phases. In-memory computing (IMC) with ...

This can be problematic as all nodes are kept in-memory. Before deserializing, we can unload old storage and then load new snapshot. Potential problem can occur if new snapshot is invalid, so Keeper ...

Add this topic to your repo To associate your repository with the in-memory-database topic, visit your repo's landing page and select "manage topics." Learn more ...