The NUMA team was recently back on the high seas renewing the search for the Bonhomme Richard. The celebrated flagship of John Paul Jones was lost shortly after his momentous victory at the Battle of Flamborough Head in 1779, succumbing to fire and damage from the battle.

Non-uniform memory access, or NUMA, is a method of configuring a cluster of microprocessors in a multiprocessing system so they can share memory locally. The idea is to improve the system's performance and allow it to expand as processing needs evolve.

NUMA is a computer platform that comprises multiple components or assemblies with local memory and interconnect. Learn how Linux divides the system resources into nodes, manages memory allocation, and handles NUMA effects.

Non-uniform memory access (NUMA) is defined as a computer memory design used in multiprocessing systems where memory access time depends on the memory location relative to the processor accessing it. In a NUMA architecture, multiple processors (or nodes) are connected to a shared memory pool.

NUMA (non-uniform memory access) is the phenomenon that memory at various points in the address space of a processor have different performance characteristics. At current processor speeds, the signal path length from the processor to memory plays a significant role.

In this article I will provide a brief introduction to non-uniform memory access (NUMA), and I’ll explain how Hyper-V interoperates with the NUMA architectures of host computers.

From the hardware perspective, a NUMA system is a computer platform that comprises multiple components or assemblies each of which may contain 0 or more CPUs, local memory, and/or IO buses.

Learn how to build an application that runs effectively on non-uniform memory access (NUMA) hardware. This article walks you through choosing the algorithm all the way through to measuring your application's performance.

Non-uniform memory access (NUMA) is a specific build philosophy that helps configure multiple processing units in a given computing system. In non-uniform memory access, individual processors work together, sharing local memory, in order to improve results.