by Abinasha Karana, DirectorBizosys Technologies Pvt Ltd, Bangalore
Case studies and success stories
1. Executive Summary2. Introduction
The Intel® Parallel Computing Center (Intel® PCC) on Big Data in Biosciences and Public Health is focused on developing and optimizing parallel algorithms and software on Intel® Xeon® Processor and Intel® Xeon Phi™ Coprocessor systems for handling high-throughput DNA sequencing data and gene expression data.
Intel® DAAL version : 2016 Gold Initial Release (w_daal_2016.0.110.exe)
OS : Windows* 8.1
IDE : Visual Studio 2013
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.
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.
This article provides a snapshot of some of the software-enabling collateral available for the Cache Allocation Technology (CAT) feature.