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The Performance Optimization and Productivity (PoP) Project
Learn about the Performance Optimisation and Productivity (PoP) project, a European-Union-funded, international group of partners working to improve parallel software by developing a general methodology for understanding parallel...
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Turbo-Charged Open Shading Language on Intel® Xeon® Processors with Intel® Advanced Vector Extensions 512
Explore Intel’s efforts in leading the rearchitecture of Open Shading Language* (OSL*) to leverage the power of Intel AVX-512 on Intel SIMD hardware. Learn about software engineering techniques used in SIMD OSL including strategic...
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Parallelism in Python: Directing Vectorization with NumExpr*
One interesting way of achieving Python parallelism is through NumExpr*, in which a symbolic evaluator transforms numerical Python expressions into high-performance, vectorized code. Learn how to refactor Python code to take...
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Measuring the Impact of NUMA Migrations on Performance
These days, memory systems use non-uniform memory access (NUMA) architectures, where cores and the total DRAM are divided among sockets. To achieve this, the Linux* kernel does NUMA migrations, which try to move memory pages to...
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Using the Latest Performance Analysis Tools to Prepare for Intel® Optane™ DC Persistent Memory
Explore Intel® Optane® DC persistent memory, a new technology that introduces a nonvolatile memory/storage tier that's faster than SSDs or hard drives, with latencies near DRAM and much larger capacity. It has implications for any...
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Leadership Performance with 2nd-Generation Intel® Xeon® Scalable Processors
Meet the new 2nd-generation Intel® Xeon® Scalable processor family that’s already set 95 performance world records with new features including Intel® Deep Learning Boost (Intel® DL Boost) for AI deep learning inference...
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Cross-Platform Tools for System and IoT Developers
Bringing up a system for the first time, or developing for an IoT device, has unique challenges that can be addressed by downloading and using Intel System Studio.
This suite of tools is tailored to the special needs of device...
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A Look at the Open-Source Tools Behind Today’s State-of-the-Art Visual Effects
The magic of computer graphics is taken as a given for visual special effects these days. It wasn’t always so. The ground-breaking 1982 movie Tron was snubbed for an Oscar nomination, as the film’s director related, because the...
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Using Inference Engines to Power AI Apps
Audio, Video and more: Simplifying Inference-Powered Apps
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A Quick Introduction to ‘daal4py’ for Data Scientists
Accelerating scikit-learn with Intel’s accelerated Python requires absolutely no code changes, thereby giving us a nearly effortless way to enhance performance. However, scikit-learn is designed for machine learning operations on...
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Making Python Fly: Accelerate Performance without Re-coding
Developers are increasingly besieged by the big data deluge. Business units want to find the actionable information buried in all that data, and dev teams are more frequently turning to Python to deliver the answers business users...
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Simple Python Performance Tune-Ups You Shouldn’t Ignore
Many of us who depend on Python a great deal these days know it’s quite easy to make it run faster without having to change code at all. Sound too good to be true? What’s the catch?
The catch is this: You need to be using...
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CPU, GPU, FPGA, or DSP: Heterogeneous Computing Multiplies the Processing Power
Whether your code runs on industry-standard PCs or is embedded in devices for specific uses, chances are there’s more than one processor that you can utilize. Graphics processors, DSPs and other hardware accelerators often sit...
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Making Computer Vision Real Today for Any Application
The demand for intelligent vision solutions, from edge to cloud, shows no sign of slowing down. Enterprises of every type want such applications for surveillance, retail, manufacturing, smart cities and homes, office automation,...
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Python Power: Intel SDK Accelerates Python Development and Execution
It should be no surprise that Python continues to grow in popularity. Data Scientists, Machine Learning (ML) developers, and all manner of data junkies love the ease of creating Python code – but many are put off by the slow...
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Achieving the Best QoE: Performance Libraries Accelerate Code Execution
The increasing consumerization of IT means that even staid business applications like accounting need to have the performance and ease of use of popular consumer apps. For many organizations, performance has taken a back burner to...
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‘Many Devices, One API’ and the OpenVINO Toolkit
Vision as an input is everywhere—and with many accelerators available to assist us. Now there is an optimized toolkit from Intel to span the hardware with a single API, and it includes a library of functions, pre-optimized...
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AI Is Reshaping Programming: Four Tips on How to Stay on Top
AI is reshaping programming as we know it, creating an intersection of the old and the new. As a programmer, this creates new challenges but with a familiar ring to them. Here are four ways that I’ve found to help me stay on top...
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Your Guide to Understanding System Performance
Meet Intel® VTune™ Amplifier’s Platform Profiler
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OpenVINO™ Toolkit and FPGAs
A Look at the FPGA Targeting of this Versatile Toolkit
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