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What is FinOps? How to keep cloud spend in check

Dynatrace

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. Today, many global industries implement FinOps, including telecommunications, retail, manufacturing, and energy conservation, as well as most Fortune 50 companies. This practice isn’t just about reducing costs.

Cloud 195
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Detecting Speech and Music in Audio Content

The Netflix TechBlog

To evaluate and benchmark our dataset, we manually labeled 20 audio tracks from various TV shows which do not overlap with our training data. We adapted the SOTA convolutional recurrent neural network ( CRNN ) architecture to accommodate our requirements for input/output dimensionality and model complexity.

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The Surprising Effectiveness of Non-Overlapping, Sensitivity-Based Performance Models

John McCalpin

This includes all architectures, all compilers, all operating systems, and all system configurations. To show that I can criticize my own work as well, here I show that sustained memory bandwidth (using an approximation to the STREAM Benchmark ) is also inadequate as a single figure of metric. (It

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Top500 list: a brief introduction

PDC

It ranks the world’s 500 most powerful supercomputers based on their performance as measured by the Linpack benchmark. It is worth noting that Summit is also the world’s 3 rd most energy-efficient machine, according to the Green500 list. The Green500 list ranks the most energy-efficient supercomputers.

Energy 40
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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

Another big jump, but now it was my job to run benchmarks in the lab, and write white papers that explained the new products to the world, as they were launched. I was mostly coding in C, tuning FORTRAN, and when I needed to do a lot of data analysis of benchmark results used the S-PLUS statistics language, that is the predecessor to R.

Tuning 52
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Building a Media Understanding Platform for ML Innovations

The Netflix TechBlog

Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix. We build creator tooling to enable these colleagues to focus their time and energy on creativity. Unfortunately, much of their energy goes into labor-intensive pre-work. Artists and video editors must create them.

Media 291
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Data Mining Problems in Retail

Highly Scalable

It helps to achieve the following goals: Smaller dimensionality helps to concentrate the energy of the signal, so each basis vector significantly contributes to the rating estimation. On the right side, the rating is estimated by convolving two vectors of reduced dimensionality and higher energy density. Multiple objectives.

Retail 152