With the emergence of data science, graph computing has become increasingly important
these days. Unfortunately, graph computing typically suffers from poor performance when …

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

With the arrival of tiered memory systems comprising various types of memory, such as
DRAM and SCM, the operating system support for memory management is becoming …

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 …

Using flash-based solid state drives (SSDs) as main memory has been proposed as a
practical solution towards scaling memory capacity for data-intensive applications. However …

The challenges to push computing to exaflop levels are difficult given desired targets for
memory capacity, memory bandwidth, power efficiency, reliability, and cost. This paper …

With increasing deployment of virtual machines for cloud services and server applications,
memory address translation overheads in virtualized environments have received great …

Emerging persistent memory technologies, like PCM and 3D XPoint, offer numerous
advantages, such as higher density, larger capacity, and better energy efficiency, compared …

Placing the DRAM in the same package as a processor enables several times higher
memory bandwidth than conventional off-package DRAM. Yet, the latency of in-package …

Personalized recommendation systems have become a major AI application in modern data
centers. The main challenges in processing personalized recommendation inferences are …