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Intel® Platform Analysis Library Metrics Framework Release Notes

Click "Download Now" below to obtain and view Intel® Platform Analysis Library Metrics Framework release notes.

Authored by Last updated on 06/23/2019 - 18:50
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Getting Started with libGDX, a Cross-platform Game Development Framework

Developers who want to develop and debug code on the desktop, natively yet be able to run it on multiple OSs without modification will want to know about libGDX.

Authored by Last updated on 05/09/2019 - 13:08
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Analyzing Intel® SDE's TSX-related log data for capacity aborts

Starting with version 7.12.0, Intel® SDE has Intel® TSX-related instruction and memory access logging features which can be useful for debugging Intel® TSX's capacity aborts.

Authored by Last updated on 07/06/2019 - 10:52
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Introducing Batch GEMM Operations

The general matrix-matrix multiplication (GEMM) is a fundamental operation in most scientific, engineering, and data applications. There is an everlasting desire to make this operation run faster.

Authored by Fiona Z. (Intel) Last updated on 05/30/2018 - 07:00
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Using OpenCL™ 2.0 Read-Write Images

While Image convolution is not as effective with the new Read-Write images functionality, any image processing technique that needs be done in place may benefit from the Read-Write images. One example of a process that could be used effectively is image composition. In OpenCL 1.2 and earlier, images were qualified with the “__read_only” and __write_only” qualifiers. In the OpenCL 2.0, images can...
Authored by Last updated on 05/31/2019 - 14:20
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The Inside Scoop on How We Accelerated NumPy Umath Functions

NumPy UMath Optimizations

Authored by Andres G. (Intel) Last updated on 05/30/2018 - 07:08
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Intel® Math Kernel Library - Introducing Vectorized Compact Routines

Introduction     
Authored by Gennady F. (Blackbelt) Last updated on 07/04/2019 - 21:35
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Introducing the new Packed APIs for GEMM

1      Introducing Packed APIs for GEMM
Authored by Gennady F. (Blackbelt) Last updated on 08/19/2019 - 11:17
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Intel® Data Analytics Acceleration Library - Decision Trees

Decision trees method is one of most popular approaches in machine learning. They can easily be used to solve different classification and regression tasks.
Authored by Gennady F. (Blackbelt) Last updated on 09/17/2019 - 16:25
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Intel® Performance Counter Monitor - A Better Way to Measure CPU Utilization

The Intel® Performance Counter Monitor provides sample C++ routines and utilities to estimate the internal resource utilization of the latest Intel® Xeon® and Core™ processors and gain a significant performance boost.
Authored by Thomas Willhalm (Intel) Last updated on 10/01/2019 - 15:30