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Quick Start Guide for the Intel® Xeon Phi™ Processor x200 Product Family

Introduction
Criado por Nguyen, Loc Q (Intel) Última atualização em 06/07/2019 - 16:30
Article

What is Code Modernization?

Modern high performance computers are built with a combination of resources including:

Criado por Mike P. (Intel) Última atualização em 06/07/2019 - 16:30
Article

NUMA Hardware Target Audience

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.
Criado por Última atualização em 21/03/2019 - 12:00
Article

Hardware and Software Approach for Using NUMA Systems

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.
Criado por Última atualização em 21/03/2019 - 12:00
Article

Memory Performance in a Nutshell

How best to align new memory subsystem hardware technologies, including MCDRAM and HBM memories of Intel® Xeon Phi™ processors and Future 3D XPoint™ DIMMs, with the needs of applications? This article provides a deeper understanding of hardware capabilities when used for usual variables and heap allocated data of an application – data that did not exist before the application started and...
Criado por Última atualização em 21/03/2019 - 12:00
Article

Boost Performance and Energy Efficiency on HPC Workloads with Intel® Xeon Phi™ Processors

An evaluation of the performance of LAMMPS on the new Intel Xeon E5 v4 and Intel Xeon Phi processors found more than 7x increased simulations rates and more than 9x the CPU+DRAM power efficiency when compared to unoptimized code on previous generation processors.
Criado por Mike P. (Intel) Última atualização em 14/06/2019 - 11:50
Mensagem de blog

Code Modernization boosted by Knights Landing

Criado por James R. (Blackbelt) Última atualização em 21/03/2019 - 12:08
Article

Caffe* Optimized for Intel® Architecture: Applying Modern Code Techniques

This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
Criado por Última atualização em 06/07/2019 - 16:40
Article

Improve Performance with Vectorization

This article focuses on the steps to improve software performance with vectorization. Included are examples of full applications along with some simpler cases to illustrate the steps to vectorization.
Criado por David M. Última atualização em 06/07/2019 - 16:40
Article

Introduction to the Heterogeneous Streams Library

To efficiently utilize all available resources for the task concurrency application on heterogeneous platforms, designers need to understand the memory architecture, the thread utilization on each platform, the pipeline to offload the workload to different platforms. To relieve designers of the burden of implementing the necessary infrastructures, the Heterogeneous Streaming (hStreams) library...
Criado por Nguyen, Loc Q (Intel) Última atualização em 06/07/2019 - 16:40