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Improving Support Vector Machine with Intel® Data Analytics Acceleration Library

Improving the Performance of Support Vector Machine with Intel® Data Analytics Acceleration Library Introduction
Authored by Nguyen, Khang T Last updated on 01/17/2017 - 09:59
Article

SaffronMemoryBase™ Log Configuration

Manage file sizes through logrotate

SaffronMemoryBase™ uses the logrotate utility to manage file sizes for the following logs:

Authored by Deborah T. (Intel) Last updated on 01/17/2017 - 09:58
Article

Getting Started with Intel® Software Optimization for Theano* and Intel® Distribution for Python*

Theano* is a Python* library developed at the LISA lab to define, optimize, and evaluate mathematical expressions, including the ones with multi-dimensional arrays. Theano can be installed and used with several combinations of development tools and libraries on a variety of platforms. This tutorial provides one such recipe describing steps to build and install Intel-optimized Theano with Intel®...
Authored by Sunny G. (Intel) Last updated on 01/17/2017 - 09:57
Article

Improve Performance of K-Means with Intel® Data Analytics Acceleration Library

This article discusses an unsupervised machine-learning algorithm called K-means that can be used to solve the data problems.
Authored by Nguyen, Khang T Last updated on 01/17/2017 - 09:55
Article

Using Intel® Data Analytics Acceleration Library to Improve the Performance of Naïve Bayes Algorithm in Python*

This article discusses machine learning and describes a machine learning method/algorithm called Naïve Bayes (NB) [2]. It also describes how to use Intel® Data Analytics Acceleration Library (Intel® DAAL) [3] to improve the performance of an NB algorithm.
Authored by Nguyen, Khang T Last updated on 01/17/2017 - 10:04
Article

SaffronMemoryBase™ Home Directory Listing

The following files and directories appear under the home directory where SaffronMemoryBase™ (SMB) is installed (admin node):

Authored by Deborah T. (Intel) Last updated on 01/17/2017 - 10:05
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Intel® Curie™ Module - Dev Kit | IoT

Develop with the Intel® Curie™ module, which leverages the Ardunio 101 platform. Get inspired with tutorials and other documentation.
Authored by Jeremy C. (Intel) Last updated on 01/17/2017 - 10:05
Article

Heterogeneous Computing Implementation via OpenCL™

OpenCL™ is the open standard and is an ideal programming language for heterogeneous computing implementation. This article is a step-by-step guide on the methodology of dispatching a workload to all OpenCL devices in the platform with the same kernel to jointly achieve a computing task.
Authored by Gorden N. (Intel) Last updated on 01/17/2017 - 10:06
Article

Fast Computation of Huffman Codes

The generation of Huffman codes is used in many applications, among them the DEFLATE compression algorithm. The classical way to compute these codes uses a heap data structure. This approach is fairly efficient, but traditional software implementations contain lots of branches that are data-dependent and thus hard for general-purpose CPU hardware to predict. On modern processors with deep...
Authored by James Guilford (Intel) Last updated on 01/17/2017 - 09:53
Article

Saffron Technology™ Widgets

Overview

Authored by Judith E. (Intel) Last updated on 01/17/2017 - 09:52
For more complete information about compiler optimizations, see our Optimization Notice.