Sutter's Mill

FEBRUARY 17, 2020

Otherwise, you’ll either get the implicitly generated move functions, or else requests to move will automatically just do a copy instead, since copy is always a valid implementation of move (it just doesn’t exercise the non- const option). Can a given type document that moving from an object always changes its state?

C++ 98

C++ Testing Design Strategy 98

The Netflix TechBlog

DECEMBER 23, 2020

This abstraction allows the compute team to influence the reliability, efficiency, and operability of the fleet via the scheduler. We do this for reliability, scalability, and efficiency reasons. Various pieces of software used elevated capabilities for FUSE, low-level packet monitoring, and performance tracing amongst other use cases.

Media 286

Media Metrics Systems Processing 286

Dynatrace

MAY 15, 2020

But outdated security practices pose a significant barrier even to the most efficient DevOps initiatives. Dynatrace is the leading Software Intelligence Platform, focused on web-scale cloud monitoring, delivering the richest, most complete data sets in the Application Performance Management market.

Government 221

Government DevOps Infrastructure Network 221

The Morning Paper

APRIL 16, 2019

Teaching rigorous distributed systems with efficient model checking Michael et al., Enabling students to build running performant versions of all of those systems in the time available is one challenge. Consider the lab exercise to implement Paxos. EuroSys’19. 175 undergraduates a year currently go through this course.

Systems 43

Systems Efficiency Testing Strategy 43

O'Reilly

OCTOBER 19, 2021

There is a decades-long tradition of data-centric programming : developers who have been using data-centric IDEs, such as RStudio, Matlab, Jupyter Notebooks, or even Excel to model complex real-world phenomena, should find this paradigm familiar. There are countless systems that can perform this task for small DAGs on a single server.

DevOps 138

DevOps Software Engineering Infrastructure Open Source 138

John McCalpin

AUGUST 1, 2018

Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? If I am analyzing (apparent) performance shortfalls, how can I distinguish between cause and effect ? The processor hardware available to support shared-memory transport.

Hardware 40

Hardware Transportation Performance Latency 40

All Things Distributed

NOVEMBER 15, 2010

This incredible power is available for anyone to use in the usual pay-as-you-go model, removing the investment barrier that has kept many organizations from adopting GPUs for their workloads even though they knew there would be significant performance benefit. General Purpose GPU programming. From CPU to GPU.

AWS 136

AWS Latency Programming Architecture 136

Alex Russell

AUGUST 30, 2021

Large projects like browser engines also exercise governance through a hierarchy of "OWNER bits," which explicitly name engineers empowered to permit changes in a section of the codebase. Differences in uptake rates matter because it's only by updating a program on the user's devices that fixes can begin to protect users.

Engineering 98

Engineering Open Source Website Operating System 98

Alex Russell

SEPTEMBER 20, 2020

"Appiness" is an illusion, an arbitrary line drawn to include programs built on some platforms but not others, and all of today's OSes allow multiple platforms to expose "real apps." In '07, safety implied an unacceptable performance hit on slow single-core devices with 128MiB of RAM.

Hardware 64

Hardware Mobile Programming Java 64

John McCalpin

JANUARY 22, 2018

There was no deep goal — just a desire to see the maximum GFLOPS in action. The exercise seemed simple enough — just fix one item in the Colfax code and we should be finished. For 64-bit floating-point data, the 512-bit Fused Multiply-Add (FMA) instructions performs 16 floating-point operations (8 adds and 8 multiplies).

Latency 40

Latency Hardware Code Testing 40