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Pointer Checker to Debug Buffer Overruns and Dangling Pointers (Part 1)

Article Topic

Pointer Checker to debug buffer overruns and dangling pointers

Автор: Последнее обновление: 27.03.2019 - 15:08
Article

Diagnostic 15523: Loop was not vectorized: cannot compute loop iteration count before executing the loop.

Product Version: Intel(R) Visual Fortran Compiler XE 15.0 or a later version

Автор: Devorah H. (Intel) Последнее обновление: 25.05.2018 - 15:30
Article

Diagnostic 15532: Loop was not vectorized: compile time constraints prevent loop optimization

Product Version: Intel(R) Visual Fortran Compiler XE 15.0 or a later version

Автор: Devorah H. (Intel) Последнее обновление: 05.07.2019 - 14:23
Article

Diagnostic 15537: Loop was not vectorized: implied FP exception model prevents usage of SVML library.

Product Version: Intel® Visual Fortran Compiler XE 15.0 or a later version

Автор: Devorah H. (Intel) Последнее обновление: 25.05.2018 - 15:30
Article

Diagnostic 15398: loop was not vectorized: loop was transformed to memset or memcpy

Автор: админ Последнее обновление: 30.05.2018 - 07:00
Article

Implementing a Masked SVML-like Function Explicitly in User-Defined Way

The Intel® Compiler provides SIMD intrinsics APIs for short vector math library (SVML) and starting with Intel® Advanced Vector Extensions

Автор: Последнее обновление: 16.07.2019 - 08:37
Article

Unpack result of Intel® MKL FFT to align with Matlab

Introduction Overview
Автор: Jing X. (Intel) Последнее обновление: 28.05.2019 - 00:55
Article

Recognize and Measure Vectorization Performance

Get a background on vectorization and learn different techniques to evaluate its effectiveness.
Автор: David M. Последнее обновление: 15.10.2019 - 15:30
Article

Intel® AVX2 optimization in Intel® MKL

The specific optimization and general support for the latest Intel® AVX2 instructions have been added in the Intel MKL v11.0. This article lists the specific functions that are optimized for Intel AVX2.
Автор: Последнее обновление: 15.10.2019 - 16:50
Article

Getting Started with Intel® Optimization for PyTorch* on Second Generation Intel® Xeon® Scalable Processors

Accelerate deep learning PyTorch* code on second generation Intel® Xeon® Scalable processor with Intel® Deep Learning Boost.
Автор: Nathan Greeneltch (Intel) Последнее обновление: 15.10.2019 - 16:50