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 …

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 …

The efficiency of distributed shared memory (DSM) has been greatly improved by recent
hardware technologies. But, the difficulty of distributed memory management can still be a …

The end of Dennard scaling and the slowing of Moore's Law has put the energy use of
datacenters on an unsustainable path. Datacenters are already a significant fraction of …

We present Dinomo, a novel key-value store for disaggregated persistent memory (DPM).
Dinomo is the first key-value store for DPM that simultaneously achieves high common-case …

Memory disaggregation (MD) allows for scalable and elastic data center design by
separating compute (CPU) from memory. With MD, compute and memory are no longer …

This paper presents how the Pangu storage system continuously evolves with hardware
technologies and the business model to provide high-performance, reliable storage services …

Memory disaggregation has replaced the landscape of dat-acenters by physically
separating compute and memory nodes, achieving improved utilization. As early efforts …

Compute and memory are tightly coupled within each server in traditional datacenters.
Large-scale datacenter operators have identified this coupling as a root cause behind …