As the volume and velocity of enterprise data continue to grow, extracting high-value insight is becoming more challenging and more important. Businesses that can analyze fresh operational data instantly—without the delays of traditional data warehouses and data marts—can make the right decisions faster to deliver better outcomes.
As Moore’s Law drives the silicon industry towards higher transistor counts, processor designs are becoming more and more complex. The area of development includes core count, execution ports, vector units, uncore architecture and finally instruction sets. This increasing complexity leads us to a place where access to the shared memory is the major limiting factor, resulting in feeding the cores...
This article demonstrates techniques that software developers can use to identify and fix NUMA-related performance issues in their applications using the latest Intel® software development tools.
Intel’s non-uniform memory access (NUMA) strategy is based on several new memory technologies that promise significant improvements in both capability and performance. This article provides information on Multi-Channel DRAM (MCDRAM) and High-Bandwidth Memory (HBM), Non-volatile dual inline-memory modules (NVDIMMs), and Intel® Omni-Path Fabric (Intel® OP Fabric).
Do you have a problem that Intel non-uniform memory access (NUMA) hardware and the related tools and strategies can solve? The answer depends on the problem you are facing and if you can make decisions about choosing/changing your hardware, your software, or both. This article walks you through the decision.
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.
New non-uniform memory access (NUMA) technologies are spreading across processors populating the modern computing world – whether those processors are in individual servers designed to run small applications, or in massive dedicated MPI clusters.
3D Isotropic Acoustic Finite-Difference Wave Equation Code: A Many-Core Processor Implementation and Analysis
Finite difference is a simple and efficient mathematical tool that helps solve differential equations.
3.3 Data Placement Using Explicit Memory Allocation Directives
For more complete information about compiler optimizations, see our Optimization Notice.