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Get Fast Code with Intel® Integrated Performance Primitives

How to use standard and highly optimized functions in Intel® Integrated Performance Primitives for more efficient data compression and encryption.
Creato da admin Data ultimo aggiornamento 09/02/2016 - 14:09
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Boost Python* Performance with Intel® Math Kernel Library

Meet Intel® Distribution for Python*, an easy-to-install, optimized Python distribution that can help you optimize your app’s performance.
Creato da admin Data ultimo aggiornamento 09/02/2016 - 14:09
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How NUMA Affects your Workloads: Intel® VTune™ Amplifier

In multi-socket NUMA systems, understanding memory object placement on the memory subsystem is key to performance. Intel® VTune™ Amplifier can help.
Creato da admin Data ultimo aggiornamento 09/02/2016 - 14:08
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Squashing Races, Deadlocks, and Memory Bugs

Intermittent threading errors like deadlock and race conditions can be especially nasty to debug. Learn how Intel® Inspector can help pinpoint issues.
Creato da admin Data ultimo aggiornamento 09/02/2016 - 14:08
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Analyze Python* App Performance with Intel® VTune™ Amplifier

Efficient profiling techniques can help dramatically improve the performance of your Python* code. Learn how Intel® VTune Amplifier can help.
Creato da admin Data ultimo aggiornamento 09/02/2016 - 14:08
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Vectorize or Performance Dies: Tune for the Latest AVX SIMD

Intel® Advisor can prioritize loops for vectorization, give you crucial optimization data, and help optimize for new instruction sets. Learn how.
Creato da admin Data ultimo aggiornamento 09/02/2016 - 14:07
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Effective Vectorization with Intel® SDLT

Learn Intel® SIMD Data Layout Templates (Intel® SDLT) improve performance by specifying preferred SIMD data layout without restructuring your code.
Creato da admin Data ultimo aggiornamento 09/02/2016 - 14:06
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OpenMP: Beyond Shared Memory Parallel Programming

OpenMP* is the standard for parallel programming on shared memory systems. See how it supports modern CPUs.
Creato da admin Data ultimo aggiornamento 09/02/2016 - 14:04
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Building Faster Data Applications on Spark* Clusters

Apache Spark* is big for big data processing apps. Intel® Data Analytics Acceleration Library (Intel® DAAL) can help optimize performance. Learn how.
Creato da admin Data ultimo aggiornamento 09/02/2016 - 14:03
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Intel® Threading Building Blocks Meet Heterogeneous Computing

Computing platforms are becoming increasingly heterogeneous. Intel® Threading Building Blocks can help you harness the spectrum of compute resources.
Creato da admin Data ultimo aggiornamento 09/02/2016 - 14:02
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