This paper show how to replicate the proof point, to index DICOM images for storage, management, and retrieval on a Cloudera Hadoop* cluster, using open source software components.
This document provides step-by-step instructions on how to build SQLCipher for Android on a Linux* host, with architecture settings to an Intel® x86 target. SQLCipher is an open source extension to SQLite* that provides transparent 256-bit AES encryption of database files. SQLCipher has been adopted as a secure database solution by many commercial and open source products, making it one of the...
There are few real-world workloads available for Android platform benchmarking, resulting in use of unrealistic or trivial workloads to drive comparisons between devices and strongly influence what devices end up in the public’s hands. This article describes the Icy Rocks Workload, an animation workload developed and open-sourced by Intel that mimics real-world game applications on the Android...
Financial service customers need to improve financial algorithmic performance for models such as Monte Carlo, Black-Scholes, and others. SIMD programming can speed up these workloads. In this paper, we perform data layout optimizations using two approaches on a Black-Scholes workload for European options valuation from the open source Quantlib library.
The Storage Performance Development Kit (SPDK) is an open source set of tools and libraries hosted on GitHub that helps developers create high-performance and scalable storage applications. This tutorial will focus on the userspace NVMe driver provided by SPDK and will step you through a Hello World example.
This document describes the step-by-step instructions for building a Haxe* project (OpenFL*) for Intel® x86 for the Android* platform. Haxe is an open source programming language. While most other languages are bound to their own platform (Java* to the JVM, C# to .Net, ActionScript to the Flash* Player), Haxe is a multiplatform language.
The Kyoto University team recognized that the performance of the open source Theano C++ multi-core code could be significantly improved. They worked with Intel to improve Theano multicore performance using a dual-socket Intel® Xeon®processor based system as the next generation Intel® Xeon Phi™ processors were not available at that time