In this blog I will examine how software AES and Intel AES-NI (hardware accelerator) in TrueCrypt* affect performance and power in a mobile platform. Mobile dominates current trends and market focus, and security has become a fundamental concern.
As I continue to explore different Ultrabook capabilities, in this blog I decided to look into a powerful threading and performance optimization tool for C/C++, .NET, and FORTRAN developers who need to understand an application's serial and parallel behavior to improve performance and scalability: Intel® VTune™ Amplifier XE 2011.
The lecture given here is the first part in the “Introduction to Parallel Programming” video series. This part endeavors to define parallel computing, explain why parallel computing is becoming mainstream, and explain why explicit parallel programming is necessary. This part sets the tone for the other 11 parts in the series.
Running time: 9:51
MULTI CORE CHALLENGES AND STRATEGIES
- Increasing the Performance
- Moore’s Law re-defined
- The (software) challenge and problem forward!
- A look at a few existing solution techniques
Performance analysis is an essential step in the development of HPC codes. It will even gain in importance with the rising complexity of machines and applications that we are seeing today. Many tools exist to help with this analysis, but the user is too often left alone with interpreting the results. In this tutorial we will provide a practical road map for the performance analysis of HPC codes and will provide users step by step advice on how to approach the optimization of their codes as well as on how to investigate observed performance bottlenecks in detail.
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.