Remove 2019 Remove Hardware Remove Java Remove Programming
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Where programming languages are headed in 2020

O'Reilly

As we enter a new decade, we asked programming experts?—including ” Willing also offered a shout-out to the CircuitPython and Mu projects, asking, “Who doesn’t love hardware, blinking LEDs, sensors, and using Mu, a user-friendly editor that is fantastic for adults and kids?” ” Java.

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The Speed of Time

Brendan Gregg

Was there some other program consuming CPU, like a misbehaving Ubuntu service that wasn't in CentOS? There's no Java stack—there should be a tower of green Java methods—instead there's only a single green frame or two. This is how Java flame graphs looked at the time. 30.14% in the middle of the flame graph.

Speed 126
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HammerDB for Managers

HammerDB

It enables the user to measure database performance and make comparative judgements about database hardware and software. These factors meant that often when looking for database performance information, the results for a particular combination of software and hardware were not available. What is HammerDB? Why HammerDB was developed.

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The Speed of Time

Brendan Gregg

Was there some other program consuming CPU, like a misbehaving Ubuntu service that wasn't in CentOS? There's no Java stack—there should be a tower of green Java methods—instead there's only a single green frame or two. This is how Java flame graphs looked at the time.

Speed 52
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The Speed of Time

Brendan Gregg

Was there some other program consuming CPU, like a misbehaving Ubuntu service that wasn't in CentOS? There's no Java stack—there should be a tower of green Java methods—instead there's only a single green frame or two. This is how Java flame graphs looked at the time. 30.14% in the middle of the flame graph.

Speed 40
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Declarative recursive computation on an RDBMS

The Morning Paper

The Apache MADLib project is still going strong, and the recent (July 2019) 1.16 SQL provides a declarative programming interface, below which the system itself can figure out the most effective execution plans based on data size and statistics, layout, compute hardware etc. release even includes some support for deep learning.

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