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Index
Cover
Part I: An Introduction to Parallelism
Chapter 1: Parallelism Today
The Arrival of Parallelism
The Top Six Challenges
Parallelism and the Programmer
Summary
Chapter 2: An Overview of Parallel Studio XE
Why Parallel Studio XE?
What's in Parallel Studio XE?
Intel Parallel Studio XE
Intel Parallel Advisor
Intel Parallel Composer XE
VTune Amplifier XE
Parallel Inspector XE
Static Security Analysis
Different Approaches to using Parallel Studio XE
Summary
Chapter 3: Parallel Studio XE for the Impatient
The Four-Step Methodology
Example 1: Working with Cilk Plus
Example 2: Working with OpenMP
Summary
Part II: Using Parallel Studio XE
Chapter 4: Producing Optimized Code
Introduction
The Example Application
Optimizing Code in Seven Steps
More on Auto-Vectorization
Source Code
Summary
Chapter 5: Writing Secure Code
A Simple Security Flaw Example
Understanding Static Security Analysis
The Build Specification
Using Static Security Analysis in a QA Environment
Source Code
Summary
Chapter 6: Where to Parallelize
Different Ways of Profiling
The Example Application
Hotspot Analysis Using the Intel Compiler
Hotspot Analysis Using the Auto-Parallelizer
Hotspot Analysis with Amplifier XE
Source Code
Summary
Chapter 7: Implementing Parallelism
C or C++, That Is the Question
Taking a Simple Approach
The Beauty of Lambda Functions
Parallelizing Loops
Parallelizing Sections and Functions
Parallelizing Recursive Functions
Parallelizing Pipelined Applications
Parallelizing Linked Lists
Source Code
Summary
Chapter 8: Checking for Errors
Parallel Inspector XE Analysis Types
Detecting Threading Errors
Detecting Deadlocks
Detecting Data Races
Fixing Data Races
Detecting Memory Errors
Creating a Custom Analysis
The Source Code
Summary
Chapter 9: Tuning Parallel Applications
Introduction
Defining a Baseline
Identifying Concurrency Hotspots
Analyzing the Timeline
Analyzing an Algorithm
Conducting Further Analysis and Tuning
Using the Intel Software Autotuning Tool
Source Code
Summary
Chapter 10: Parallel Advisor–Driven Design
Using Parallel Advisor
Surveying the Site
Annotating Your Code
Checking Suitability
Checking for Correctness
Replacing Annotations
Summary
Chapter 11: Debugging Parallel Applications
Introduction to the Intel Debugger
Using the Intel Debugger to Detect Data Races
More About Filters
Runtime Investigation: Viewing the State of Your Application
Summary
Chapter 12: Event-Based Analysis with VTune Amplifier XE
Testing the Health of an Application
Conducting a Hotspot Analysis
Conducting a General Exploration Analysis
Fixing Hardware Issues
Using Amplifier XE's Other Tools
The Example Application
Summary
Part III: Case Studies
Chapter 13: The World's First Sudoku “Thirty-Niner”
The Sudoku Optimization Challenge
Hands-On Example: Optimizing the Sudoku Generator
Summary
Chapter 14: Nine Tips to Parallel-Programming Heaven
The Challenge: Simulating Star Formation
The Hands-On Activities
Application Heuristics
Using a Tree-Based N-Bodies Simulation
Architectural Tuning
Adding Parallelism
Summary
Chapter 15: Parallel Track Fitting in the CERN Collider
The Case Study
The Stages of a High-Energy Physics Experiment
What Is Array Building Blocks?
Parallelizing the Track-Fitting Code
The Hands-On Project
Summary
Chapter 16: Parallelizing Legacy Code
Introducing the Dhrystone Benchmark
The Hands-On Projects
Parallelizing the C Version
Parallelizing the C++ Version
Overview of the Results
Summary
Introduction
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