Intel® Xeon Phi™ Coprocessor 5110p

A Single Programming Model for All Your Code

A wide assortment of programming languages, models, and tools support Intel architecture and all of them can be used with both Intel Xeon processors and Intel Xeon Phi coprocessors. Applications that run on one processor family will run on the other. This uniformity can greatly reduce the complexity of developing, optimizing, and maintaining your software code. Existing applications will need to be tuned and recompiled for parallelism to maximize throughput, but your developers won’t need to rethink the entire problem and they won’t need to master new tools and proprietary programming models. Instead, they can reuse existing code and maintain a common code base using familiar tools and methods. Code can be optimized just once for both Intel Xeon processors and Intel Xeon Phi coprocessors. The same techniques—such as scaling applications to many cores and threads, blocking data for hierarchical memory and caches, and effective use of SIMD— deliver optimal performance for both processor and coprocessor families. The investment you make in parallelizing your code will deliver benefits across the full range of computing environments.

• Up to 1 teraflops double-precision performance
• Exceptional performance-per-watt for highly parallel workloads
• Single programming model for all your code
• Flexible usage models to maximize your investment

Even Higher Efficiency for Parallel Processing

While the Intel Xeon processor E5 family remains the preferred choice for the majority of applications, Intel Xeon Phi coprocessors provide more efficient performance for highlyparallel applications. They include many more and smaller cores, many more threads, and wider vector units. The high degree of parallelism compensates for the lower speed of each individual core to deliver higher aggregate performance for workloads that can be subdivided into a sufficiently large number of simultaneous tasks. You can use Intel Xeon processors and Intel Xeon Phi coprocessors together to optimize performance for almost any workload. Because both processor and coprocessor support the same software code and programming models, your developers won’t have to reinvent the wheel to deliver optimized performance.