Creating High Performance Software Utilizing Intel Compilers, Libraries and Platforms
With Case Studies from Engineering, Imaging, Statistics and Finance
(Sprache: Englisch)
High
Performance Software with Intel Compilers, Libraries and Platforms
illustrates how dramatic
performance improvements can be achieved by using the Intel compiler tools and
performance libraries. It is written for developers working in...
Performance Software with Intel Compilers, Libraries and Platforms
illustrates how dramatic
performance improvements can be achieved by using the Intel compiler tools and
performance libraries. It is written for developers working in...
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Produktdetails
Produktinformationen zu „Creating High Performance Software Utilizing Intel Compilers, Libraries and Platforms “
Klappentext zu „Creating High Performance Software Utilizing Intel Compilers, Libraries and Platforms “
HighPerformance Software with Intel Compilers, Libraries and Platforms
illustrates how dramatic
performance improvements can be achieved by using the Intel compiler tools and
performance libraries. It is written for developers working in advanced
applications such as financial modeling who need to leverage the power of
modern multi-core Intel processors.
This book is written for developers (and other technology specialists) working in advanced
applications such as financial modeling and who wish to leverage the power of
modern multi-core Intel processors--as an example--in order to implement high performance
derivatives pricing engines. The purpose of the book is to illustrate how dramatic
performance improvements can be achieved by using the Intel compiler tools and
performance libraries.
The book emphasizes the case study approach where the examples
provided in the second part of the book are entirely inspired from real world
scenarios.
Inhaltsverzeichnis zu „Creating High Performance Software Utilizing Intel Compilers, Libraries and Platforms “
- Preface/Foreword
- Chapter 1: The Multi-core and Many-core Revolutions
- Chapter 2: Intel C++ Compiler
- Chapter 3: Writing Parallel Applications
- Chapter 4: Parallel Programming Patterns
- Chapter 5: Xeon Phi Programming
- Chapter 6: Random Number Generators
- Chapter 7: Summary Statistics
- Chapter 8: Case study: Pricing Options Using Monte Carlo Simulations
- Chapter 9: Case study: High Performance R
- Chapter 10: Case study: Analyzing Financial Data
- Chapter 11: Case study: Processing Very High Resolution Images
- Appendix A: Configuring Your Development Environment
- Appendix B: Xeon Phi Administration
Autoren-Porträt
Anwar Ludin is the founder of RiskCetera.com, a cloud-based market risk analytics platform. He currently uses the Intel compiler tools and performance libraries in order to build a high performance derivatives pricing engine that he intends to open source. Prior to founding RiskCetera, he worked as a software engineer in the financial services sector where he designed derivatives pricing engines. Anwar holds a Masters of Electrical Engineering degree from the Swiss Federal Institute of Technology.
Bibliographische Angaben
- 2015, 2015., 275 Seiten, Maße: 22,9 cm, Kartoniert (TB), Englisch
- Verlag: APress
- ISBN-10: 1430268034
- ISBN-13: 9781430268031
Sprache:
Englisch
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