Intel® Technology Journal

Preface

Sat, 23 Feb 2008 03:42:35 -0500

Intel Corporations four-decade history of technology innovations is a well-known fact. Less known but equally important is that for decades Intel has had goals to reduce the environmental impact of its manufacturing, operations, and products. This issue of the Intel Technology Journal on Eco-Smart Technologies (Volume 12, Issue 1, 2008) features a podcast by Ted Reichelt, Intels Principal Environmental Engineer, as he remembers operational meetings with Gordon Moore and Andy Grove held nearly two decades ago on this very subject. Today, Intels commitment to design for environment remains strong: our goal is to reduce the environmental impact of our operations while continuing to meet high-performance requirements for computing.

Materials Technology for Environmentally Green Micro-electronic Packaging

Thu, 21 Feb 2008 03:42:58 -0500

Learn how the delivery of lead-free packaging solutions reinforced Intels commitment to provide environmentally friendly micro-electronic packaging.

Process Scheduling Challenges in the Era of Multi-Core Processors

Sat, 26 Jan 2008 03:48:15 -0500

These authors examine a critical component of system software, the process scheduler, in todays multi-core environment. They show how optimal performance can be exploited by making the process scheduler aware of the multi-core topologies and task characteristics.

Accelerating Video Feature Extractions in CBVIR on Multi-Core Systems

Sat, 19 Jan 2008 03:49:40 -0500

Todays user-friendly and abundant video capture and storage techniques have resulted in an explosion of video data that needs to be managed. Our authors show how Content-Based Video Information Retrieval (CBVIR) can be accelerated to take full advantage of todays multi-core systems.

Future-Proof Data Parallel Algorithms and Software on Intel® Multi-Core Architecture

Sat, 12 Jan 2008 03:51:04 -0500

This paper highlights the Ct API, a programming model that leverages the strengths of data parallel programming. The authors show how this API is an effective way to create scalable, future-proof applications without seriously compromising the language design or the large software investment by developers.

Methodology, Tools, and Techniques to Parallelize Large-Scale Applications: A Case Study

Sat, 05 Jan 2008 03:52:29 -0500

These authors show you how advancements in threading analysis tools have made parallelization of large and complex applications an easier task than what it was a decade or two ago. They showcase their successful threading of the Intel® C++ Compiler which produced an average speedup of 2x in compiling a range of CPU2000 benchmarks.

The Foundations for Scalable Multi-Core Software in Intel® Threading Building Blocks

Mon, 31 Dec 2007 03:53:34 -0500

The Intel® Threading Building Blocks (Intel® TBB) are a template library designed to raise the level of abstraction for parallelism as developers port their code to multi-core platforms. Learn about its work-stealing task scheduler and scalable memory allocator, the basics of TBBs robust performance and scalability.

Intel® Performance Libraries: Multi-Core-Ready Software for Numeric-Intensive Computation

Sat, 22 Dec 2007 03:55:19 -0500

As the complexity of microprocessors increases, learn how the Intel® performance libraries, Math Kernel Library (MKL) and the Integrated Performance Primitives (IPP) can greatly improve performance in this era of multi-processors, multi-cores and multi-computers.

Parallel Software Development with Intel® Threading Analysis Tools

Sat, 15 Dec 2007 03:56:43 -0500

Applying parallelism to software is a challenging task for developers. Find out how Intel® Threading Analysis Tools can help developers write high-performance parallel software in all of the phases of the development cycle.

Parallelization Made Easier with Intel® Performance Tuning Utility

Sat, 08 Dec 2007 03:58:10 -0500

Explore how the Intel® Performance Tuning Utility significantly improves on the data collection and display features available and adds capabilities needed for enabling and analysis of parallel execution.

Preface

Tue, 04 Dec 2007 03:58:58 -0500

Multi-core processors are balanced for performance and power consumption. They can achieve high performance with optimal power consumption by sharing the work of executing tasks on multiple execution cores. To take advantage of these multiple cores, software (SW) needs to be designed to execute in parallel across multiple processor cores by the use of threads. SW threads have been long used in scientific and high-performance computing where large-scale computing resources are tied together to crunch on complex, numerically based mathematical problems. Today, multi-core processors are not just used in scientific computing; they are the standard in consumer desktop and mobile computers.

Listen to a Podcast of this Issue

Thu, 22 Nov 2007 04:01:25 -0500

Listen to a Podcast of this Issue

Foreword

Thu, 22 Nov 2007 04:01:25 -0500

Bill Savage General Manager, Developer Products Division, Software and Solutions Group

Inside the Intel® 10.1 Compilers: New Threadizer and New Vectorizer for Intel® Core™2 Processors

Thu, 15 Nov 2007 04:02:49 -0500

This paper offers readers a unique opportunity to see the power of the new Intel® threadizer and vectorizer inside the 10.1 Intel® compilers.

High-Performance Physical Simulations on Next-generation Architecture with Many Cores

Sat, 20 Oct 2007 04:05:19 -0400

Physical simulation applications model complex natural phenomena. They are widely used in computer games and movie production to enable increased realism and interactivity. The authors explore the behavior of these very demanding applications on future tera-scale processors, focusing on parallelization and bandwidth requirements.