Check the integrity of data in your applications using these fast methods of computing checksums on Intel processors.
Checksums are widely used for checking the integrity of data in applications such as storage and networking. We present fast methods of computing checksums on Intel® processors. Instead of computing the checksum of the input with a traditional linear method, we describe a faster method to split the data into a number of interleaved parallel streams, compute the checksum on these segments in...
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.
Modern Memory Subsystems Benefits for Data Base Codes, Linear Algebra Codes, Big Data, and Enterprise StorageThis article describes and contrasts advantages different types of memory, including Multi-Channel DRAM (MCDRAM) and High-Bandwidth Memory (HBM), the future 3D XPoint™ memory devices, and Intel® Omni-Path Fabric (Intel® OP Fabric).
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.
One Stop for Optimizing Your Data Center From AI to Big Data to HPC: End-to-end Solutions
New features and enhancements available in the second generation Intel® Xeon® processor Scalable family and how developers can take advantage of them
介绍第二代英特尔® 至强® 可扩展处理器产品家族的新特性、增强功能以及为开发人员带来的优势