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Intel Vectorization Toolkit: 3. Determine Loop Candidates Using Intel Compiler Vec-Report

Intel Vectorization Toolkit: 3. Vectorization report for loop candidates
Autor AmandaS (Intel) Última actualización 25/05/2018 - 15:30
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Best Practices for Using Intel® Cilk™ Plus

Performance tuning of an existing application is truly a challenge and it depends on a lot of factors like the nature of algorithm the application works on, if the implementation is scalable

Autor Anoop M. (Intel) Última actualización 25/05/2018 - 15:30
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Improving Averaging Filter Performance Using Intel® Cilk™ Plus

Intel® Cilk™ Plus is an extension to the C and C++ languages to support data and task parallelism.  It provides three new keywords to i

Autor Anoop M. (Intel) Última actualización 12/12/2018 - 18:00
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Vectorizing Loops with Calls to User-Defined External Functions

Introduction

Autor Anoop M. (Intel) Última actualización 12/12/2018 - 18:00
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Power Management Policy

By Taylor Kidd, Intel Corporation

This article is essentially a collection of blogs I wrote on the same subject. The differences are simply a degree of formalism.

Autor Última actualización 06/07/2019 - 16:40
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Using Intel® MKL and Intel® TBB in the same application

Intel MKL 11.3 has introduced Intel TBB support.

Autor Gennady F. (Blackbelt) Última actualización 01/08/2019 - 09:22
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The Inside Scoop on How We Accelerated NumPy Umath Functions

NumPy UMath Optimizations

Autor Andres G. (Intel) Última actualización 30/05/2018 - 07:08
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Intel® Advisor on Cray* Systems

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Autor Carlos R. (Intel) Última actualización 11/03/2019 - 09:00
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Intel® Math Kernel Library Improved Small Matrix Performance Using Just-in-Time (JIT) Code Generation for Matrix Multiplication (GEMM)

    The most commonly used and performance-critical Intel® Math Kernel Library (Intel® MKL) functions are the general matrix multiply (GEMM) functions.

Autor Gennady F. (Blackbelt) Última actualización 21/03/2019 - 03:01
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Optimizing Storage Solutions Using the Intel® Intelligent Storage Acceleration Library

Intel® ISA-L provides the tools to help accelerate and optimize storage on Intel® architecture (IA) for everything from small office NAS appliances up to enterprise storage systems. The functions provided in this library help with storage recoverability, data integrity, data security, and faster data compression mechanisms. This article provides a high level functional overview of Intel ISA-L.
Autor Thai Le (Intel) Última actualización 02/09/2019 - 10:35