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AVIF for Next-Generation Image Coding

The Netflix TechBlog

By Aditya Mavlankar, Jan De C**k¹, Cyril Concolato, Kyle Swanson, Anush Moorthy and Anne Aaron TL; DR We need an alternative to JPEG that a) is widely supported, b) has better compression efficiency and c) has a wider feature set. Brief overview of image coding formats The JPEG format was introduced in 1992 and is widely popular.

Code 212
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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. There were languages I briefly read about, including other performance comparisons on the internet. These include Python, PHP, Perl, and Ruby. Ahem, Slow!

Java 207
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Introducing SVT-AV1: a scalable open-source AV1 framework

The Netflix TechBlog

264/AVC, currently, the most ubiquitous video compression standard supported by modern devices, often in hardware. Reference software serves as the basis for standard development, a framework, in which the performance of video coding tools is evaluated. The success was repeated by H.264/AVC,

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Faster remainders when the divisor is a constant: beating compilers and libdivide

Daniel Lemire

The division by a power of two ( / (2 N )) can be implemented as a right shift if we are working with unsigned integers, which compiles to single instruction: that is possible because the underlying hardware uses a base 2. Thus if 2 N / d has been precomputed, you can compute the division n/d as a multiplication and a shift.

C++ 279
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Announcing the General Availability of Percona Operator for PostgreSQL Version 2

Percona

Below you will find a short FAQ about the new operator and a comparison to version 1.x. It simplifies the development and brings more contribution friendliness to the code, resulting in better potential for growing the community. This can be useful if you plan to migrate to new hardware or need to test the new topology.

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Infinitely scalable machine learning with Amazon SageMaker

All Things Distributed

Amazon SageMaker training supports powerful container management mechanisms that include spinning up large numbers of containers on different hardware with fast networking and access to the underlying hardware, such as GPUs. This can all be done without touching a single line of code.

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Boosted race trees for low energy classification

The Morning Paper

The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. Race logic has four primary operations that are easy to implement in hardware: MAX, MIN, ADD-CONSTANT, and INHIBIT. One efficient way of doing that in analog hardware is the use of current-starved inverters.

Energy 52