Michael Krieger

Michael has been on the leading edge of information technology for over 45 years, starting as a mainframe programmer and communications hardware designer. He has spoken at numerous trade shows including Interop, CloudSlam, Blade Server Summit, and the late Comdex. He regularly contributes to several IT websites and publications and blogs on digital event marketing, and has held executive roles in marketing, product management, business development, and technology market research.

Using Inference Engines to Power AI Apps
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Using Inference Engines to Power AI Apps


Making Python Fly: Accelerate Performance without Re-coding

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...

CPU, GPU, FPGA, or DSP: Heterogeneous Computing Multiplies the Processing Power

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...

Making Computer Vision Real Today for Any Application

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,...

Python Power: Intel SDK Accelerates Python Development and Execution

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...

Achieving the Best QoE: Performance Libraries Accelerate Code Execution

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...

Mainstreaming IoT: Intel System Studio 2019 Paves the Way

Mainstreaming IoT: Intel System Studio 2019 Paves the Way

Thanks to the ever-growing complexity of IT systems, getting the most out of code continues to be a big challenge for many developers. Understanding the interaction of CPUs, GPUs, IDEs, and platforms is daunting enough, but now...

Games, Graphics, and the ‘Gamification of IT'

Games, Graphics, and the ‘Gamification of IT'

For game designers, graphics performance can make the difference between a best-seller and a clunker, weighed down by bad reviews. That’s why virtually every game designer tries to ensure they’re getting the most out of the...

Beating Moore’s Law: Scaling Performance for Another Half-Century

Beating Moore’s Law: Scaling Performance for Another Half-Century

As his 90th birthday approaches, one wonders how Intel co-founder Gordon Moore considers that his famous ‘law’, first postulated in 1965, still pretty much holds true. As revised in the ‘70s, it forecast that the number of...

Uncovering Hidden Performance: Tools for Every IT Pro

At a recent IT conference on becoming more strategic, the topic of machine learning and artificial intelligence kept creeping into the conversation. Whether IT professionals are using AI and ML to improve their security posture or...

Use More Cores to Speed Execution

It seems obvious, right? All those cores in that CPU ready and waiting for your elegant, threaded and parallelized code to blast off, reducing execution time to a small fraction of what it used to be. Or that’s the thought...

Python for Production: Accelerating Number-Crunching Without Recoding

Python for Production: Accelerating Number-Crunching Without Recoding

So you’ve probably been using Python for prototyping data science and number-crunching jobs, but when it comes to putting code into production, you go for some variant of C. Why? Well, by its very nature, Python is...

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