Dean Hume

APRIL 24, 2018

Using service workers can actually reduce the amount of energy that users that visit your website consume. but now that you are here, read on and hopefully I can at least convince you that service workers can make a (little bit) difference to energy consumption! Fewer HTTP requests mean less CPU usage and less energy consumed.

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Using service workers can actually reduce the amount of energy that users that visit your website consume. but now that you are here, read on and hopefully I can at least convince you that service workers can make a (little bit) difference to energy consumption! Fewer HTTP requests mean less CPU usage and less energy consumed.

Energy 40

Energy Cache Traffic Website 40

John McCalpin

APRIL 2, 2020

Here I assumed a particular analytical function for the amount of memory traffic as a function of cache size to scale the bandwidth time. Over time, the mechanisms introduced for reducing energy consumption (first in laptops) became available more broadly. Many of these applications (e.g., while the second model is within 1%.

Benchmarking 59

Benchmarking Performance Latency Architecture 59

HammerDB

OCTOBER 18, 2019

cpupower frequency-info analyzing CPU 0: driver: intel_pstate CPUs which run at the same hardware frequency: 0 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: Cannot determine or is not supported. hardware limits: 1000 MHz - 4.00 bin/pgbench -c 1 -S -T 60 pgbench starting vacuum.end.

Benchmarking 63

Benchmarking Performance Hardware C++ 63

VoltDB

APRIL 25, 2024

While Wi-Fi theoretically can achieve 5G-like speeds, it falls short in providing the consistent performance and reliability that 5G offers, including low latency, higher speeds, and increased bandwidth. Additionally, frequent handoffs between access points can lead to delays and connection drops.

Network 52

Network IoT Wireless Infrastructure 52

John McCalpin

APRIL 2, 2020

Here I assumed a particular analytical function for the amount of memory traffic as a function of cache size to scale the bandwidth time. Over time, the mechanisms introduced for reducing energy consumption (first in laptops) became available more broadly. Many of these applications (e.g., while the second model is within 1%.

Benchmarking 40

Benchmarking Performance Latency Architecture 40

The Netflix TechBlog

JANUARY 6, 2025

This article is the last in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Good design doesnt waste time or mental energy; instead, it helps the user achieve theirgoals. Need to catch up?

Analytics 202

Analytics Engineering Cache Entertainment 202

Adrian Cockcroft

NOVEMBER 18, 2024

ENU101 | Achieving dynamic power grid operations with AWS Reducing carbon emissions requires shifting to renewable energy, increasing electrification, and operating a more dynamic power grid. In this session, hear from AWS energy experts on the role of cloud technologies in fusion. Jason OMalley, Sr.

AWS 98

AWS Energy Lambda Government 98

VoltDB

OCTOBER 17, 2024

Improve energy efficiency: Optimizing energy usage is a key aspect of cost management. Real-time data on energy consumption allows manufacturers to adjust processes and reduce energy waste, leading to lower utility bills. By addressing these issues promptly, manufacturers can reduce waste and improve yield.

Automotive 52

Automotive IoT Energy Artificial Intelligence 52