Remove Architecture Remove Efficiency Remove Hardware Remove Transportation
article thumbnail

Protecting critical infrastructure and services: Ensure efficient, accurate information delivery this election year

Dynatrace

Government agencies aim to meet their citizens’ needs as efficiently and effectively as possible to ensure maximum impact from every tax dollar invested. These components include schools; transportation; energy; water; and communications such as the accuracy, timeliness, and transparency of election reporting.

article thumbnail

Snap: a microkernel approach to host networking

The Morning Paper

I’m jumping ahead a bit here, but the component of Snap which provides the transport and communications stack is called Pony Express. Here are the bombshell paragraphs: Our datacenter applications seek ever more CPU-efficient and lower-latency communication, which Pony Express delivers. Enter Google! Emphasis mine).

Network 92
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

RPCValet: NI-driven tail-aware balancing of µs-scale RPCs

The Morning Paper

The focus of optimization hence will completely shift to efficiently handling RPCs at the endpoints as soon as they are delivered from the network. At one extreme we have a ‘16 x 1’ architecture with 16 queues each with one associated processing unit. Consider a 16-core server handling 16 requests.

Latency 80
article thumbnail

Why I hate MPI (from a performance analysis perspective)

John McCalpin

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? The user environment defines the mapping of MPI ranks to hardware resources (cores, sockets, nodes). The MPI runtime library. in ways that are seldom transparent.

article thumbnail

AI for everyone - How companies can benefit from the advance of machine learning

All Things Distributed

This has allowed for more research, which has resulted in reaching the "critical mass" in knowledge that is needed to kick off an exponential growth in the development of new algorithms and architectures. If you can predict demand, you can plan more efficiently. Machine learning in education, medicine and development aid.

article thumbnail

Can You Afford It?: Real-world Web Performance Budgets

Alex Russell

One distinct trend is a belief that a JavaScript framework and Single-Page Architecture (SPA) is a must for PWA development. Contended, over-subscribed cells can make “fast” networks brutally slow, transport variance can make TCP much less efficient , and the bursty nature of web traffic works against us.

article thumbnail

Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]

Smashing Magazine

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Still, after all these years, keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet. Use progressive enhancement as a default.