Intel® Xeon® and Intel® Xeon Phi™ processor based platforms provide multiple levels of parallel execution resources. The amount of compute power of these resources is growing with every product generation, yet most applications do not fully utilize the available computing resources. This session will provide details on the growth in hardware resources and characterize performance using different...
This paper is a result of a joint CERN openlab-Intel research activity with the aim to investigate whether Linux Containers can be used together with SR-IOV in conjunction and complementary to the existing virtualization infrastructure in the CERN Data Centre. This solution could be potentially applied to the storage nodes, which are principally used for Input/Output operations, while keeping the...
In this article, we describe the process on how to download and install the Intel® MPI library in Google Cloud Platform* (GCP).
Bring greater capacity and performance to your Data Analytics & AI at scale with open source software and Intel® Platform Technologies
Big data analytics solution developers no longer need to choose between performance and agility.
The Hadoop* Authentication Service helped Alibaba* improve the quality, performance and TCO of its cloud user identity information management system.
This document briefly gives an overview of the Intel® Advanced Vector Extensions 512 (Intel® AVX-512) and shows different ways to build an application for the Intel® Xeon Phi™ processor x200 using the Intel® compiler.
A number of usage models are possible given the flexible interfaces provided by the Cache Allocation Technology (CAT) feature, including prioritization of important applications and isolation of applications to reduce interference.
Intel® contributes significantly to both software and hardware optimizations for Java*.