Maximisez les performances de vos applications C++ et Fortran avec Intel Parallel Studio XE 2015

Table of Contents

1. 😃 Introduction
2. 🚀 Intel Studio XE 2015: What's New?
3. 🌟 Features of Studio XE 2015
   • 3.1 Explicit Vectorization
   • 3.2 OpenMP 4.0
   • 3.3 Parallelization and Vectorization
   • 3.4 AVX 512: Enhanced Vectorization
4. ✨ Benefits of Vectorization in Performance
5. 💻 Vectorization in Different Programming Languages
   • 5.1 C++
   • 5.2 Fortran
6. 🧪 Vectorization in Complex Loops
7. 🔬 Simplifying Parallel Code for Scientists
8. 📦 Availability of Intel Studio XE 2015
9. 🎉 Conclusion
10. 🌐 Resources

🚀 Intel Studio XE 2015: What's New?

Intel Studio XE is a suite of tools, compilers, libraries, and analysis tools that are highly popular, especially in the field of high-performance computing (HPC). The latest version of Studio XE, named 2015, brings several exciting features and improvements. In this article, we will explore the new features of Studio XE 2015 and their impact on performance optimization in HPC applications. So, let's dive in!

🌟 Features of Studio XE 2015

3.1 Explicit Vectorization

One of the coolest features of Studio XE 2015 is the introduction of explicit vectorization. This feature allows developers to explicitly instruct the compiler on when to use SIMD (Single Instruction, Multiple Data) instructions. By explicitly programming the vectorization, developers have more control over the optimization process, resulting in improved performance.

3.2 OpenMP 4.0

Studio XE 2015 includes support for OpenMP 4.0, which brings together tasking, vectorization, and offload capabilities. This integration allows developers to parallelize and vectorize their code simultaneously, leading to significantly enhanced performance. The addition of OpenMP 4.0 features, such as user-defined reductions, further empowers developers to maximize the potential of parallelization and vectorization.

3.3 Parallelization and Vectorization

Studio XE 2015 provides comprehensive support for parallelization and vectorization. Developers can now utilize the parallelization capabilities of OpenMP 4.0 to distribute computations across multiple cores efficiently. Additionally, the new X-list vectorization feature enables programmers to specify explicit vectorization in their code, ensuring optimal utilization of vector instructions. This explicit programming style eliminates the guesswork previously associated with compiler-based vectorization, leading to better performance.

3.4 AVX 512: Enhanced Vectorization

With AVX 512, Studio XE 2015 takes vectorization to a whole new level. AVX 512 allows for the vectorization of up to 16 single-precision or 8 double-precision operations at a time. This massive increase in vector length significantly boosts application performance, making AVX 512 a crucial feature for high-performance computing.

✨ Benefits of Vectorization in Performance

Vectorization has become increasingly important due to the exponential growth in vector lengths. By utilizing vector instructions efficiently, developers can improve performance at both the kernel and application levels. Even with the kernel-level speedups alone, applications can experience significant performance gains, potentially achieving up to 16 times acceleration in single precision operations. With Studio XE 2015's enhanced vectorization capabilities, it is the perfect time to explore and leverage this technique.

💻 Vectorization in Different Programming Languages

5.1 C++

Traditionally, vectorization was associated with Fortran. However, with Studio XE 2015, vectorization is now available for C++ as well. Whether it's complex loops or simpler constructs, Studio XE 2015's explicit vectorization empowers C++ developers to take full advantage of vectorization, making their code faster and more efficient.

5.2 Fortran

Fortran has long been the language of choice for high-performance computing applications. Studio XE 2015 continues to support and expand Fortran capabilities, enabling Fortran developers to harness the full potential of vectorization. Whether it's the traditional Livermore loops or more complex constructs, Studio XE 2015 ensures that Fortran code remains highly efficient.

🧪 Vectorization in Complex Loops

In the past, vectorization in loops was primarily limited to simple and well-structured constructs. However, modern HPC applications often require vectorization in more complex loops. Studio XE 2015 addresses this challenge by providing advanced vectorization capabilities that can handle intricate loop structures. With Studio XE 2015, developers can achieve optimal performance even in complex scenarios, bringing vectorization to new heights.

🔬 Simplifying Parallel Code for Scientists

Writing parallel code that aligns closely with scientific principles has always been a challenge. Studio XE 2015 simplifies this process by allowing scientists to write parallel code that closely mirrors their scientific equations. Developers can use directives to specify the parallelization and vectorization of specific code blocks. By collapsing loops and utilizing the full power of parallelism and vectorization, scientists can achieve both readable code and excellent performance.

📦 Availability of Intel Studio XE 2015

Intel Studio XE 2015 is available for download starting today. Existing customers have already been downloading the new version eagerly, and an evaluation copy is also available for those who want to explore the capabilities of Studio XE 2015. Experience the power of explicit vectorization, OpenMP 4.0, and AVX 512 to unlock the full potential of your high-performance computing applications.

🎉 Conclusion

Intel Studio XE 2015 introduces exciting new features and enhancements that empower developers to optimize performance in high-performance computing applications. With explicit vectorization, OpenMP 4.0 support, and AVX 512, Studio XE 2015 provides the tools necessary to unleash the power of parallelism and vectorization. Whether you are coding in C++, Fortran, or dealing with complex loops, Studio XE 2015 offers the potential for significant performance gains. Embrace the power of Studio XE 2015 and elevate your HPC applications to new heights.

🌐 Resources

• Intel Studio XE

Highlights

• Intel Studio XE 2015 introduces explicit vectorization, OpenMP 4.0, and AVX 512 capabilities.
• Vectorization significantly improves performance at both the kernel and application levels.
• Studio XE 2015 supports vectorization in C++ and strengthens Fortran capabilities.
• Complex loops can now be efficiently vectorized with Studio XE 2015.
• Scientists can simplify parallel code and achieve optimal performance with Studio XE 2015.
• Intel Studio XE 2015 is available for download today, offering powerful performance optimization features.

FAQ

Q: What is Intel Studio XE 2015? A: Intel Studio XE 2015 is a suite of tools, compilers, libraries, and analysis tools that are popular for performance optimization in high-performance computing (HPC) applications.

Q: What are the new features in Studio XE 2015? A: The new features in Studio XE 2015 include explicit vectorization, support for OpenMP 4.0, and enhanced vectorization with AVX 512.

Q: How does vectorization improve performance? A: Vectorization utilizes SIMD instructions to process multiple data elements simultaneously, resulting in accelerated computations and improved performance.

Q: Can vectorization be applied to different programming languages? A: Yes, Studio XE 2015 supports vectorization in both C++ and Fortran, providing performance benefits for developers in these languages.

Q: Can complex loops be vectorized? A: Yes, Studio XE 2015 offers advanced vectorization capabilities that can handle complex loop structures, enabling efficient vectorization in intricate scenarios.