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 most exciting development in parallel computer architecture is the convergence of
traditionally disparate approaches on a common machine structure. This book explains the …

Is your memory hierarchy stopping your microprocessor from performing at the high level it
should be? Memory Systems: Cache, DRAM, Disk shows you how to resolve this problem …

Analysis of technology and application trends reveals a growing imbalance in the peak
compute-to-memory-capacity ratio for future servers. At the same time, the fraction …

We propose an intuitive abstraction for a process to export its memory to remote hosts, and
to access the memory exported by others. This abstraction provides a simpler interface to …

We present Grappa, a modern take on software distributed shared memory (DSM) for in-
memory data-intensive applications. Grappa enables users to program a cluster as if it were …

Datacenters waste significant compute and memory resources today because they lack
resource fungibility: the ability to reassign resources quickly and without disruption. We …

Emerging datacenter applications operate on vast datasets that are kept in DRAM to
minimize latency. The large number of servers needed to accommodate this massive …

Mondrian memory protection (MMP) is a fine-grained protection scheme that allows multiple
protection domains to flexibly share memory and export protected services. In contrast to …