Fast DRAM increasingly dominates infrastructure spend in large scale computing
environments and this trend will likely worsen without an architectural shift. The cost of …

Memory allocation represents significant compute cost at the warehouse scale and its
optimization can yield considerable cost savings. One classical approach is to increase the …

Increasing memory demand and slowdown in technology scaling pose important challenges
to total cost of ownership (TCO) of warehouse-scale computers (WSCs). One promising idea …

The rapid growth of in-memory computing powered by dataintensive applications has
increased the demand for DRAM in servers. However, a DRAM-based system can be …

The emerging hybrid DRAM-NVM architecture is challenging the existing memory
management mechanism at the level of the architecture and operating system. In this paper …

Software-controlled heterogeneous memory systems have the potential to increase the
performance and cost efficiency of computing systems. However they can only deliver on …

The evergrowing memory demand fueled by datacenter workloads is the driving force
behind new memory technology innovations (eg, NVM, CXL). Tiered memory is a promising …

Memory-based data center applications require increasingly large memory capacities, but
face the challenges posed by the inherent difficulties in scaling DRAM and also the cost of …

Modern computing systems are embracing hybrid memory comprising of DRAM and non-
volatile memory (NVM) to combine the best properties of both memory technologies …

In order to scale, future systems will need to dramatically reduce data movement. Data
movement is expensive in current designs because (i) traditional memory hierarchies force …