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 …

The increasing demand for memory in hyperscale applications has led to memory becoming
a large portion of the overall datacenter spend. The emergence of coherent interfaces like …

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

Memory is the most contended and least elastic resource in datacenter servers today.
Applications can use only local memory—which may be scarce—even though memory …

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

The unrelenting growth of the memory needs of emerging datacenter applications, along
with ever increasing cost and volatility of DRAM prices, has led to DRAM being a major …

Resource-disaggregated architectures have risen in popularity for large datacenters.
However, prior disaggregation systems are designed for native applications; in addition, all …

Memory disaggregation promises transparent elasticity, high resource utilization and
hardware heterogeneity in data centers by physically separating memory and compute into …

Far memory systems allow an application to transparently access local memory as well as
memory belonging to remote machines. Fault tolerance is a critical property of any practical …

Stateful serverless analytics can be enabled using a remote memory system for inter-task
communication, and for storing and exchanging intermediate data. However, existing …