- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Intel Software Products Division and its Australian reseller, Hearne Scientific Software, invite you to six free webinars covering the latest Intel software development technologies for Windows* and Linux* that will provide you with both the knowledge and practical skills to create great software.
-
Intel Fortran Compilers
-
Intel C++ Compilers
-
Intel VTune Performance Analyzers
-
Intel Integrated Performance Primitives
-
Intel Math Kernel Library
-
Intel Threading Tools
Detecting performance and robustness issues in parallel programs using the Intel Threading Tools
Building on the advanced instruction level parallelism (ILP) and data level parallelism (DLP) inherent to the Intel Xeon and Intel Pentium architectures, Intel has added thread level parallelism (TLP) with Hyper-Threading Technology (HT Technology). Processors with Hyper-Threading Technology (HT Technology) schedule instructions from multiple threads at a time to hide latency and improve throughput. This presentation demonstrates how to identify potential performance and robustness issues in multi-threaded code using the Intel Threading Tools to accelerate your parallel application development and reduce your time to market.
Presented by Jason Plumb - Technical Consulting Engineer
Jason Plumb is an expert in real-time graphics and simulation and has recently led the design and development of the Shockwave3D extension to the Director/Shockwave 8.5 platform in a joint effort between Intel and Macromedia. Before working at Intel, Jason earned a degree in Computer Engineering at Santa ClaraUniversity and developed a number of products for SEGA, ATARI and Sierra Entertainment, Inc.
Date: 18 August 2004
Time: 10am AEST
REGISTER NOW (http://www.hearne.com.au/cgi-bin/webinar_registration.cgi)
If you would like further information regarding these webinars, please contact Hearne Scientific Software and request to speak to Michael Koukoullis.
- Tags:
- Parallel Computing
Link Copied
![](/skins/images/7FC17B7B85029576C25F1E43CE255B51/responsive_peak/images/icon_anonymous_message.png)
- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page