Big Data & Analytics

Gathering and analyzing “big data” helps forecast market conditions, make critical decisions, and get insights into your customers.

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Enabling Intel® MKL in PETSc applications       PETSc(Portable, Extensible Toolkit for Scientific Computation) is an open source suite of data structures and routines for the parallel solution of scientific applications modelled by partial differential equations. Starting from release 3.8 PETSc users can benefit from enabling Intel® MKL...
DEVFEST: SEVEN SMART REASONS TO REGISTER IoT Skill-Building, Mentoring and More For Developers – Attend Intel Global IoT DevFest II  Nov. 7-8 The return of Intel’s premier online forum for IoT developers worldwide is only weeks away  – which means it’s time to reserve your place at this virtual conference now.
Building Large-Scale Image Feature Extraction with BigDL at JD.com This article shares the experience and lessons learned from Intel and JD teams in building a large-scale image feature extraction framework using deep learning on Apache Spark* and BigDL*.
Data Bench: A New Proof-of-Concept Workload for Microservice Transactions Data Bench is a new proof-of-concept workload that can be used to measure the response-time latency of microservice transactions. This is a new type of workload that places the focus and analysis of computing environments on the handling, processing, and movement of data. Currently in  Phase 1...
Achieving High-Performance Computing with The Intel® Distribution for Python*

Python* has become instrumental tool for those looking for a high productivity language for a variety of programming tasks including advanced numerical work. Learn how Intel brings high performance, easy accessibility, and integrated workflow to Python* in numerical, scientific, and machine...

Intel® Accelerates Hardware and Software Performance for Server-Side Java* Applications Intel® contributes significantly to both software and hardware optimizations for Java*. These optimizations can deliver performance advantages for Java applications that run using the optimized Java Virtual Machine (JVM), and which are powered by Intel® Xeon® processors and Intel® Xeon Phi™...
Vector API Developer Program for Java* Software This article introduces Vector API to Java developers, it shows how to start using the API in Java programs, and provides examples of vector algorithms. It provides step-by-step details on how to build the vector API and build java applications using it. It provides the location for downloadable...
Modernizing Software with Future-Proof Code Optimizations by Henry A. Gabb, Sr. Principal Engineer, Intel Software and Services Group
Introduction to Intel(R) Data Analytics Acceleration Libarary in Intel(R) System Studio 2018. What it has to offer.   Introduction to Intel® Data Analytics Acceleration Library ( Intel® DAAL )