Scalegrid

APRIL 16, 2020

This is why our BYOC pricing is less than our Dedicated Hosting pricing, as the costs listed for BYOC are only what you pay for ScaleGrid and don’t include your hardware costs. A vast majority of the features are the same, outside of these advanced features available through the BYOC model: Virtual Private Clouds / Virtual Networks.

Cloud 242

Cloud Azure AWS Database 242

John McCalpin

AUGUST 1, 2018

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? MPI is a commonly used standard to implement message-passing programs on computer clusters. The MPI runtime library. in ways that are seldom transparent.

Hardware 40

Hardware Transportation Performance Latency 40

The Morning Paper

DECEMBER 8, 2019

On the last morning of the conference Daniel Bittman presented some of the work being done in the context of the Twizzler OS project to explore new programming models for NVM. The starting point is a set of three asumptions for an NVM-based programming model: Compared to traditional persistent media, NVM is fast. What about security?

Hardware 56

Hardware Programming Media Storage 56

Alex Russell

SEPTEMBER 20, 2020

Pre-publication gates were valuable when better answers weren't available, but commentators should update their priors to account for hardware and software progress of the past 13 years. Fast forward a decade, and both the software and hardware situations have changed dramatically. " Platforms, while plural, are not equal.

Hardware 64

Hardware Mobile Programming Java 64

The Netflix TechBlog

DECEMBER 23, 2020

In addition to the default Docker namespaces (mount, network, UTS, IPC, and PID), we employ user namespaces for added layers of isolation. Programs will usually start with capabilities, perform any activities that require those capabilities, and then “drop” them when the process no longer needs them.

Media 286

Media Metrics Systems Processing 286

All Things Distributed

NOVEMBER 15, 2010

We believe that making these GPU resources available for everyone to use at low cost will drive new innovation in the application of highly parallel programming models. The early GPU systems were very vendor specific and mostly consisted of graphic operators implemented in hardware being able to operate on data streams in parallel.Â

AWS 136

AWS Latency Programming Architecture 136