Use these parallel programming resources and books with your Intel® Xeon® processor and Intel® Xeon Phi™ processor family
A look into the contents of the two "Pearls" books, edited by James Reinders and Jim Jeffers. These books contain a collection of examples of code modernization.
This article looks at several books that introduce developers to the topics of Message Passing Interface (MPI), parallel programming, and OpenMP*.
Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
This Technology Insight will demonstrate how to optimize data analytics and machine learning workloads for Intel® Architecture based data center platforms. Speaker: Pradeep Dubey Intel Fellow, Intel Labs Director, Parallel Computing Lab, Intel Corporation
Based on Intel® Core™ microarchitecture (code-named Broadwell) and manufactured on 14-nanometer process technology, these processors provide significant performance over the previous-generation Intel® Xeon® processor E5 v3 product family.
The Intel® MPI Library and OpenMP* runtime libraries can create affinities between processes or threads, and hardware resources. This affinity keeps an MPI process or OpenMP thread from migrating to a different hardware resource, which can have a dramatic effect on the execution speed of a program.
There are two principal methods of parallel computing: distributed memory computing and shared memory computing. As more processor cores are dedicated to large clusters solving scientific and engineering problems, hybrid programming techniques combining the best of distributed and shared memory programs are becoming more popular.
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).