Emerging byte-addressable nonvolatile memories (NVMs) promise persistent memory,
which allows processors to directly access persistent data in main memory. Yet, persistent …

Important workloads, such as machine learning and graph analytics applications, heavily
involve sparse linear algebra operations. These operations use sparse matrix compression …

Memory channel contention is a critical performance bottleneck in modern systems that have
highly parallelized processing units operating on large data sets. The memory channel is …

Memory-centric computing demands careful organization of the virtual address space, but
traditional methods for doing so are inflexible and inefficient. If an application wishes to …

To improve system performance, operating systems (OSes) often undertake activities that
require modification of virtual-to-physical address translations. For example, the OS may …

In modern systems, DRAM-based main memory is significantly slower than the processor.
Consequently, processors spend a long time waiting to access data from main memory …

Computers continue to diversify with respect to system designs, emerging memory
technologies, and application memory demands. Unfortunately, continually adapting the …

Non-Volatile Random Access Memory (NVRAM) technologies are closing the performance
gap between traditional storage and memory. However, the integrity of persistent data …

Efficient cache tag management is a primary design objective for large, in-package DRAM
caches. Recently, Tagless DRAM Caches (TDCs) have been proposed to completely …

This book provides computer engineers, academic researchers, new graduate students, and
seasoned practitioners an end-to-end overview of virtual memory. We begin with a recap of …