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intel® Xeon Phi? Processor Optimization Tutorials

Original link Download file1. IntroductionThis tutorial will cover a variety of optimization applications to support their intel? Xeon Phi? Run on the processor. The optimization process in this tutorial is divided into three parts: The first section describes general optimization techniques for vectorization (data parallelization) processing of code.

At Intel™The processor transplanted OpenGL * games to Android * (Part 2)

information about the differences between OpenGL 2.0 and OpenGL ES 2.0, see examples.Porting from other embedded systems Generally, it is easier to use OpenGL to port OpenGL ES games from other embedded systems to Android than to port OpenGL ES games from desktop systems, because most embedded systems use the same OpenGL ES 1.1 or 2.0 specifications as Android. When porting OpenGL ES code from other embedded systems, the biggest difference is the sup

Intel processor identification and cpuid command (2) cpuid command

to 27 extended family, used to connect with the Family Code from 8th to 11th, indicating that the processor belongs to intel386, 486, Pentium, Pentium Pro or Pentium 4. The Pentium 6 family includes all the processor models based on the Pentium Pro architecture, and its extended family value is 00 h, familyThe code va

Single-node Caffe scoring and training based on the intel® Xeon E5 series processor

Requirements and LimitationsThe preview package has the same software dependencies as the Caffe that are not optimized: boost* 1.53.0 opencv* 2.4.9 protobuf* 3.0.0-beta1 glog* 0.3.4 gflags* 2.1.2 lmdb* 0.9.16 leveldb* 1.18 hdf5* 1.8.15 Red Hat Enterprise Linux * 6.5 or later and Intel MKL version 11.3 or later.Hardware compatibility: Fourth generation smart I

Based on intel® Xeon? caffe* training on multi-node distributed memory systems for the processor E5 product family

database be pre-allocated to compute nodes for best performance results. Refer to the Readme file in the packet for instructions. Set the threading environment as follows: $> Export Omp_num_threads=$> Export Kmp_affinity=compact,granularity=fineNote: The omp_num_threads must be an even number greater than or equal to 2. Use this command to perform timings:$> mpirun-nodefile x${np}.hosts-n $NP-ppn 1-prepend-rank \ ./build/tools/caffe Time \-iterations --model=models/m

At Intel™The processor transplanted OpenGL * games to Android * (Part 1)

can provide a simpler path to transplant applications, especially when the amount of C/C ++ code is so large that it is not practical to convert all of it into Java. This is the main reason why Google decided to release the NDK publicly, which makes it easier to transplant OpenGL games to Android. Due to these advantages, NDK has become the main method for applications that require fast graphics speed on Android. With NDK, you can write C/C ++

Java uses the annotation processor to generate code-Part 2: annotation Processor

Java uses the annotation processor to generate code-Part 2: annotation Processor This article is part 2 of my "using annotation processors to generate code for Java" series. In the first part (please read here), we will introduce Java annotations and several common methods. Now, in the second section, we will intro

Intel & #174; Experience™Deep camera code example-R200 camera data stream, Intel r200

developer kit (R200), which contains cameras, USB3 cables, and a magnetic adsorption bracket used to connect cameras and laptops. Figure 2. Intel®Experience™Developer kit (R200) The following hardware requirements must be met when running the R200 sample code: Fourth-generation intel®Core™Processor or later 150 MB

Source code provided by Intel to obtain the number of CPUs of a machine

// Configure //-------------------------------------------------------------------------------------------------//// Copyright? 2001, Intel Corporation. Other brands and names may be claimed as the property of others.////// CPU counting Utility// Date: 10/30/2001// Version 1.4//////// File name: cpucount. cpp//// Note: 1) logicalnum = number of logical processors per physical

Linux Platform x86 compilation (II): Processor instruction code and IA-32 Platform understanding

"copyright notice: respect for the original, reproduced please retain the source: blog.csdn.net/shallnet, the article only for learning Exchange, do not use for commercial purposes"at the very bottom of the computer operation, all computer processors operate the data according to the binary code defined by the manufacturer within the processor, which defines that the pr

Spectre patch stable version: Intel released micro-code updates for the Skylake, Kaby Lake, and Coffee Lake Processors

Spectre patch stable version: Intel released micro-code updates for the Skylake, Kaby Lake, and Coffee Lake Processors Recently, Intel has released stable Spectre patch micro-code updates for Skylake, Kaby Lake, Coffee Lake, and related processors. The patch, still targeted CVE-2017-5717 Spectre vulnerability. Spectre

20 code names to be mastered by each programmer

The code has to be named everywhere. As programmers, we have to name the class, name the variables, name the functions, name the parameters, name the namespaces, and so on. Here are 20 tips to help you improve your naming skills.1. Use a name that expresses intentThe name can tell us what it is going to do, why it exists, and how it works. Choosing a name that can express your intentions will help us understand the

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