The GPU has become a standard platform for accelerating high performance computing workloads, at least for those that have had their code tweaked to support acceleration at all. …
Oak Ridge Trials Arm-GPU Combo On HPC Testbed was written by Timothy Prickett Morgan at The Next Platform.
My take on RFC1925.
The post EtherealMind’s Fifteen Networking Truths (Rules of Networking) appeared first on EtherealMind.
“By going SDN these very big network operations are becoming extremely efficient to run, and that...
WE Connect Insights gathers and evaluates data to help users make better-informed decisions about...
However, modest 2020 growth expectations left investors feeling mixed.
Open cloud data warehouses are still data warehouses, and savvy enterprises are moving directly to...
It is hard to take on either Intel or Nvidia in their respectively dominant CPU and GPU markets, and credit is due to AMD for taking on both companies at the same time to try to carve itself a larger slice of the datacenter pie. …
AMD Takes A Bigger Bite Out Of The Datacenter was written by Timothy Prickett Morgan at The Next Platform.
As a Docker Compose maintainer, my daily duty is to check for newly reported issues and try to help users through misunderstanding and possible underlying bugs. Sometimes issues are very well documented, sometimes they are nothing much but some “please help” message. And sometimes they look really weird and can result in funny investigations. Here is the story of how we solved one such report…
An issue was reported as “docker-compose super slow on macOS Catalina” – no version, no details. How should I prioritize this? I don’t even know if the reporter is using the latest version of the tool – the opened issue doesn’t follow the bug reporting template. This is just a one-liner. But for some reason, I decided to take a look at it anyway and diagnose the issue.
Without any obvious explanation for super-slowness, I decided to take a risk and upgrade my own MacBook to OSX Catalina. I was able to reproduce significant slow down in docker-compose execution, waiting seconds for the very first line printed on the console even to display usage on invalid command.
In the meantime, some Continue reading
Ever since its initial release, Cloudflare Workers has given JavaScript developers a platform to enable building high-performance applications with automatic scaling.
As with any new technology, we know it can be a bit intimidating to get started. For one thing, running code on the edge is a paradigm shift—forcing us to rethink classic web architecture problems, or removing them altogether. For another, since you can build just about anything, it can be challenging to figure out what to build first.
Today we’re launching Built with Workers, a new site designed to help get those creative juices flowing and unblock you, by answering that simple but important question: What can I build with Cloudflare Workers?
Some time in 1999, at age 11, I received my first graphing calculator. It was a TI-82 that my older sister no longer needed. It was on this very calculator that I learned to write code. Looking back, I’m not sure how exactly I had the patience or sanity to figure it all out.
It was a mess. Among the many difficulties were that I had to type the code out on the calculator’s non-QWERTY keyboard, the language I was writing in didn’t have Continue reading
I'm extremely stoked to announce Built with Workers today – it's an awesome resource for exploring what you can build with Cloudflare Workers. As Adam explained in our launch post, showcasing developers building incredible projects with tools like Workers KV or our streaming HTML rewriter is a great way to celebrate users of our platform. It also helps encourage developers to try building their dream app on top of Workers. In this post, I’ll explore some of the architectural and implementation designs we made while building the site.
When we first started planning Built with Workers, we wanted to use the site as an opportunity to build a new greenfield application, showcasing the strength of the Workers platform. The Workers Developer Experience team is cross-functional: while we might spend most of our time improving our docs, or developing features for our command-line interface Wrangler, most of us have spent years developing on the web. The prospect of starting a new application is always fun, but in this instance, it was a prime chance to ask (and answer) the question, "If I could build this site on Workers with whatever tools I want, what would I choose?"
A guiding Continue reading
Some network devices return structured data in either text- or XML format (but cannot spell JSON). Ansible prefers getting JSON-formatted data, and has a number of filters to process text printouts… but what could you do if you want to work with XML documents within Ansible? I described a few solutions in Transforming XML Data in Ansible.
Narrowing the gap between serverless and its state with storage functions, Zhang et al., SoCC’19
"Narrowing the gap" was runner-up in the SoCC’19 best paper awards. While being motivated by serverless use cases, there’s nothing especially serverless about the key-value store, Shredder, this paper reports on. Shredder’s novelty lies in a new implementation of an old idea. On the mainframe we used to call it function shipping. In databases you probably know it as stored procedures. The advantages of function shipping (as opposed to the data shipping we would normally do in a serverless application) are that (a) you can avoid moving potentially large amounts of data over the network in order to process it, and (b) you might be able to collapse multiple remote calls into one if the function traverses structures that otherwise could not be fetched in a single call.
Shredder is "a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes."
Running end-user compute inside the datastore is not without its challenges of course. From an operator perspective it makes it harder to follow the classic cloud-native design in which a global storage Continue reading