‹ Back to Video Series: Parallel Programming and Optimization with Intel® Xeon Phi™ Coprocessors

Part 6: Strip-Mining for Vectorization

As the last topic on optimization of vector calculations, we will discuss a programming technique that allows you to express vectorization opportunities to the compiler in complex situations.
This technique is called strip-mining. We will use it now to direct the compiler to vectorizable calculations, and also, later in the course, we will use this technique to re-balance parallelism between vectors and treads, and as a basis for memory optimization techniques.

 

EPISODES (19)
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Part 1: Optimization Roadmap

(4:25)

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Part 2: Scalar Tuning and General Optimization

(10:04)

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Part 3: Optimization of Vectorization-Data Structures

(6:09)

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Part 4: Optimization of Vectorization-Alignment and Hints

(4:50)

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Part 5: Optimization of Vectorization: Regularizing Pattern

(9:35)

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Part 6: Strip-Mining for Vectorization

(6:15)

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Part 7: Vectorization Tuning Knobs

(2:54)

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Part 8: Optimization of Synchronization in Multithreaded Applications

(7:29)

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Part 9: Elimination of False Cache Line Sharing

(5:17)

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Part 10: Do You Have Enough Parallelism in Your Code?

(7:17)

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Part 11: Thread Affinity Control

(7:14)

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Part 12: Optimization of Memory Access

(7:15)

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Part 13: Example of Loop Tiling

(6:47)

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Part 14: Example of Cache-Oblivious Recursion

(5:36)

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Part 15: NUMA and Allocation on First Touch

(5:03)

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Part 16: Optimization of Communication: Offload

(6:57)

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Part 17: Optimization of Communication: MPI

(3:02)

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Part 18: Additional Topic-Load Balancing in Heterogeneous Systems

(5:50)

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Part 19: Closing Words

(1:39)

Product and Performance Information

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Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.