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The Speed of Time

Brendan Gregg

As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Measuring the speed of time Is there already a microbenchmark for os::javaTimeMillis()? Theory (A) is most likely based on the frame widths in the flame graph. But I'm not completely sure. us on Ubuntu.

Speed 126
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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

There were languages I briefly read about, including other performance comparisons on the internet. Considering all aspects and needs of current enterprise development, it is C++ and Java which outscore the other in terms of speed. These include Python, PHP, Perl, and Ruby.

Java 207
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article thumbnail

The Speed of Time

Brendan Gregg

As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Measuring the speed of time Is there already a microbenchmark for os::javaTimeMillis()? Theory (A) is most likely based on the frame widths in the flame graph. But I'm not completely sure.

Speed 52
article thumbnail

The Speed of Time

Brendan Gregg

As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Measuring the speed of time Is there already a microbenchmark for os::javaTimeMillis()? Theory (A) is most likely based on the frame widths in the flame graph. But I'm not completely sure. us on Ubuntu.

Speed 40
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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. The encoder can typically be improved years after the standard has been frozen including varying speed and quality trade-offs. The encoder speed helps innovation, as it is faster to run experiments.

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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. Post-training model tuning and rich states.

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HammerDB for Managers

HammerDB

This post is targeted towards the questions most often asked by non-technical management who want to get up to speed on what HammerDB is (what it isn’t) and how it can benefit their organization. It enables the user to measure database performance and make comparative judgements about database hardware and software.