Abstract Processing-in-memory (PIM) techniques have gained much attention from computer
architecture researchers, and significant research effort has been invested in exploring and …

Data movement between the CPU and main memory is a first-order obstacle against improv
ing performance, scalability, and energy efficiency in modern systems. Computer systems …

Computing systems have undergone a tremendous change in the last few decades with
several inflexion points. While Moore's law guided the semiconductor industry to cram more …

Severe power consumption in the continuous scaling of Silicon‐based dynamic random
access memory (DRAM) technology quests for a transistor technology with a much lower off …

It has become increasingly difficult to understand the complex interactions between modern
applications and main memory, composed of Dynamic Random Access Memory (DRAM) …

Heterogeneous memory management combined with server virtualization in datacenters is
expected to increase the software and OS management complexity. State-of-the-art …

Memory capacity is a key bottleneck for training large scale neural networks. Intel® Optane#
8482; DC PMM (persistent memory modules) which are available as NVDIMMs are a …

An important aspect of High-Performance Computing (HPC) system design is the choice of
main memory capacity. This choice becomes increasingly important now that 3D-stacked …

To feed the high degrees of parallelism in modern graphics processors and manycore CPU
designs, DRAM manufacturers have created new DRAM architectures that deliver high …

Heterogeneous memory systems promise better performance, energy-efficiency, and cost
trade-offs in emerging systems. But delivering on this promise requires efficient OS …