Public cloud providers seek to meet stringent performance requirements and low hardware
cost. A key driver of performance and cost is main memory. Memory pooling promises to …

New cache coherent interconnects such as CXL have recently attracted great attention
thanks to their excellent hardware heterogeneity management and resource disaggregation …

Fog/edge computing, function as a service, and programmable infrastructures, like software-
defined networking or network function virtualisation, are becoming ubiquitously used in …

The monolithic server model where a server is the unit of deployment, operation, and failure
is meeting its limits in the face of several recent hardware and application trends. To improve …

Memory disaggregation has attracted great attention recently because of its benefits in
efficient memory utilization and ease of management. So far, memory disaggregation …

As memory requirements grow, and advances in memory technology slow, the availability of
sufficient main memory is increasingly the bottleneck in large compute clusters. One solution …

Disaggregated memory can address resource provisioning inefficiencies in current
datacenters. Multiple software runtimes for disaggregated memory have been proposed in …

Memory-intensive applications suffer large performance loss when their working sets do not
fully fit in memory. Yet, they cannot leverage otherwise unused remote memory when paging …

Traditional datacenters are designed as a collection of servers, each of which tightly couples
the resources required for computing tasks. Recent industry trends suggest a paradigm shift …

Recent studies from several hyperscalars pinpoint to embedding layers as the most memory-
intensive deep learning (DL) algorithm being deployed in today's datacenters. This paper …