This chapter covers general topics in parallel performance but occasionally refers to API-specific issues.
1-1 - Predicting and Measuring Parallel Performance
1-2 - Loop Modifications to Enhance Data-Parallel Performance
1-3 - Granularity and Parallel Performance
1-4 - Load Balance and Parallel Performance
1-5 - Expose Parallelism by Avoiding or Removing Artificial Dependencies
1-6 - Using Tasks Instead of Threads
1-7 - Exploiting Data Parallelism in Ordered Data Streams
1-8 - Using AVX Without Writing AVX Code - New
The topics in this chapter discuss techniques to mitigate the negative impact of synchronization on performance.
2-1 - Managing Lock Contention- Large and Small Critical Sections
2-2 - Use Synchronization Routines Provided by the Threading API Rather than Hand-Coded Synchronization
2-3 - Choosing Appropriate Synchronization Primitives to Minimize Overhead
2-4 - Use Non-blocking Locks When Possible
Threads add another dimension to memory management that should not be ignored. This chapter covers memory issues that are unique to multithreaded applications.
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