Public cloud providers seek to meet stringent performance requirements and low hardware
cost. A key driver of performance and cost is main memory. Memory pooling promises to …

Recently, there is an increasing interest in building data-center applications with RDMA
because of its low-latency, high-throughput, and low-CPU-utilization benefits. However …

The virtual-to-physical address translation overhead, a major performance bottleneck for
modern workloads, can be effectively alleviated with huge pages. However, since huge …

Today's cloud platforms handle server hardware failures by shutting down the affected
server and only turning it back online once it has been repaired by a technician. At cloud …

Dynamic random-access memory (DRAM) is a key driver of performance and cost in public
cloud servers. At the same time, a significant amount of DRAM is underutilized due to …

This book focuses on the core question of the necessary architectural support provided by
hardware to efficiently run virtual machines, and of the corresponding design of the …

CPUs routinely offload to NICs network-related processing tasks like packet segmentation
and checksum. NIC offloads are advantageous because they free valuable CPU cycles. But …

The emergence of dense, byte-addressable nonvolatile main memories (NVMMs) allows
application developers to combine storage and memory into a single layer. With NVMMs …

A growing demand for hyperscale services has compelled hyperscalers to deploy more
compute resources at an unprecedented pace, further accelerated by the demise of …

Managed languages such as Java and Scala do not allow developers to directly access
heap objects. As a result, to send on-heap data over the network, it has to be explicitly …