This is the first article in a series of articles about High Performance Computing with the Intel Xeon Phi. The Intel Xeon Phi is the first commercial product of Intel to incorporate the Many Integrated Core architecture. In this article I will present the basics of the Xeon Phi architecture, the programming models and what we can do to measure the performance in cycles for micro benchmarks.
Although our initial efforts supports tunings and functionality in three areas, the Intel® Math Kernel Library (Intel® MKL), provides a broader set of functionality for scientific and engineering use. These are highlighted below:
Many cores are critical to Web App/Service Hosting for the following reasons:
Cloud computing and Web-based applications are moving distributed desktop computing to more centralized Web servers;
The server does multi-tasking in kernel mode;
The server does multi-tasking and multithreading in user mode, with potentially much higher load;
Many applications are deployed in a Web server;
Each Web application and each Web service can be accessed by many clients at the same time;
Web software development and cloud computing based on Service-Oriented Architecture (SOA) and Service-Oriented Computing (SOC) represent the modern software engineering theory, practices and technologies. The book takes a comprehensive and coherent approach to address these issues. The goal is to learn the concepts, principles and methods in advanced software architecture, software engineering, and software development. The approach is learning by developing.
In this module, participants will learn some principles for threading a simple 3D graphics game. We will decompose the problem into separate pipelined domains that can be threaded separately. Specifically we will look at how to accomplish concurrent processing of Physics, AI, and other game components and how to achieve speedup on multi-core platforms.
HyperThreading and Multi-core processors; Software support of making use of the power of multi-core processors; Performance indicators: Speedup and efficiency; Demo: Horse Power Game under Multi-Core; Multithreading Performance Experiment Using Intel Many-core Testing Lab (32-Core Computer); and Service Hosting Model on Multithreading.