Dynatrace

SEPTEMBER 21, 2023

Research from 2020 suggests that training a single LLM generates around 300,000 kg of carbon dioxide emissions—equal to 125 round-trip flights from New York to London. Using Carbon Impact, we can now implement efficiency measures driven by the app’s benchmarks and recommendations. This adoption will further impact carbon emissions.

Energy 234

Energy Cloud Airlines Strategy 234

Dynatrace

NOVEMBER 2, 2023

Additionally, include benchmarks for stakeholders and best practices that support the anticipated growth of the organization as a whole. It’s also important to provide training for engineers, developers, chief information officers, and any others as needed. FinOps company culture. FinOps behavioral change management.

Cloud 196

Cloud Strategy Energy Retail 196

Percona

NOVEMBER 3, 2023

This entails providing comprehensive training for your staff, equipping them with both foundational and sophisticated testing methodologies. Additionally, it involves the acquisition or development of specialized testing software, which often comes with its own set of training requirements.

Database 87

Database Open Source Benchmarking Strategy 87

The Netflix TechBlog

MAY 21, 2019

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. Likewise it has very low requirements on the initial amount of training data.

Testing 163

Testing AWS Lambda Network 163

Randon ASCII

JANUARY 12, 2022

Back in the day I wrote a lot of benchmarks in order to look for places where the actual performance of the CPU didn’t match what we expected. I wrote a lot of benchmarks. One benchmark I wrote measured the L2 cache latency. So, anyway. Another reason is that the signal is not traveling continuously.

Cache 126

Cache Latency Benchmarking Hardware 126

Scalegrid

JANUARY 12, 2024

With extensive computational resources at their disposal alongside massive pools of information, developers can utilize these powerful tools to train ML models efficiently or run AI algorithms effectively by accessing stored datasets from anywhere through the internet connection provided by most reputable providers’ hosting services.

Cloud 130

Cloud Storage Virtualization Efficiency 130

Adrian Cockcroft

JUNE 21, 2022

Another big jump, but now it was my job to run benchmarks in the lab, and write white papers that explained the new products to the world, as they were launched. I also learned how marketing worked, and began to build my presentation and training skills as I was sent around the world by Sun to teach workshops and speak at events.

Tuning 52

Tuning Benchmarking Engineering Best Practices 52

The Morning Paper

JUNE 11, 2019

The goal here is to reduce the training times of DNNs by finding efficient parallel execution strategies, and even including its search time, FlexFlow is able to increase training throughput by up to 3.3x FlexFlow is evaluated over six real-world DNN benchmarks on two different GPU clusters. Expanding the search space.

Network 81

Network Strategy Hardware Benchmarking 81

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. In early January a related paper was published by Satoshi Matsuoka et. petaflops, which is 0.8%

Architecture 52

Architecture Latency Benchmarking AWS 52

Tasktop

JULY 22, 2021

Are they meeting their benchmarks for adoption, are their outcomes improving, are the KPIs different? As per the Scaled Agile : “Flow predictability measures how well teams, ARTs and Solution Trains are able to plan and meet their PI objectives. They want to know how they’re doing,” said Dean.

Metrics 98

Metrics DevOps Efficiency Software 98

Percona

MARCH 23, 2023

Benchmark before you decide. If all of this seems overwhelming or difficult to understand, our world-class MySQL Training is here to help. Each of them has its own limits and advantages: for example, XFS is fast in deleting large files, while EXT4 can provide better performance on fast SSD drives, and ZFS on Linux has progressed a lot.

Performance 128

Performance Hardware Storage Tuning 128

Tasktop

DECEMBER 12, 2022

To start, the leaders decided to use Flow Time to benchmark the team’s performance. The new team structure also allowed for cross-training, such that the different functional groups began working as a cohesive team. This is a measure of work in progress (WIP) in the value stream. Now, business analysts could manage simple code changes.

Metrics 52

Metrics Benchmarking Efficiency Speed 52

The Netflix TechBlog

JUNE 20, 2023

In the second approach, we show that a relatively simple, supervised sequential model (bidirectional LSTM or GRU) that uses rich, pretrained shot-level embeddings can outperform the current state-of-the-art baselines on our internal benchmarks. Figure 1: a scene consists of a sequence of shots.

Benchmarking 253

Benchmarking C++ Programming Availability 253

The Morning Paper

JUNE 27, 2019

Systems researchers are doing an excellent job improving the performance of 5-year old benchmarks, but gradually making it harder to explore innovative machine learning research ideas. Performance on accelerators matters because almost all current machine learning research, and most training of production models, uses them.

Systems 87

Systems Tuning Programming Innovation 87

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. ASPLOS’19. Seer in action.

Big Data 45

Big Data Cloud Performance Hardware 45

Percona

JUNE 22, 2023

” Here are additional metrics used to determine the reliability of a database, make adjustments that minimize downtime, and set benchmarks for meeting business continuity requirements. The following table shows the amount of downtime for each level of availability, from “two nines” to “five nines.”

Availability 111

Availability Database Open Source Hardware 111

IO River

NOVEMBER 15, 2023

‍Think of it as the captain of a well-trained squad, each member with a specialized skill set. Benchmarks should be established to measure the latency introduced by the WAF, ensuring it stays within acceptable limits.‍Conclusion‍In These add-ons amplify your security, giving you not just a shield, but a full-fledged armory.Â

Traffic 52

Traffic Network Logistics Architecture 52

Alex Russell

APRIL 29, 2021

As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. All modern browsers are fast, Chromium and Safari/WebKit included.

Media 145

Media Games Education Engineering 145

IO River

NOVEMBER 2, 2023

Think of it as the captain of a well-trained squad, each member with a specialized skill set. While WAF fends off a variety of web-based threats, several complementary services magnify its capabilities. These add-ons amplify your security, giving you not just a shield, but a full-fledged armory.

Traffic 40

Traffic Network Logistics Architecture 40

Alex Russell

MAY 9, 2022

This includes internal training, external advocacy and writing [4] , and the staffing of research work to explore the frontier of improved performance opportunities. At Level 5, serious training and guardrails are required to integrate new talent. And engineers are trained to value performance and quality.

Performance 86

Performance Latency Metrics Engineering 86

Alex Russell

JANUARY 30, 2024

I fear we will not be so lucky; an entire generation has been trained to ignore reality, to prize tribalism rather than engineering rigor, and to devalue fundamentals. If CPUs and networks continue to improve at the rate of the past two years, and INP finally forces a reckoning, the answer might be as little as a decade.

Performance 90

Performance Network Mobile Speed 90

O'Reilly

JULY 25, 2023

I guessed that maybe ChatGPT only knew about v2 since it was trained on open-source code from before September 2021 (its knowledge cutoff date) and v2 was the dominant format before that date. To my surprise, it knew about v3 from its training data and generated a v3 manifest file for me in response.

Programming 98

Programming Code Design Benchmarking 98

High Scalability

NOVEMBER 9, 2018

matei_zaharia : Since we opened #DAWNBench deep learning benchmark rolling submissions, there have been some cool entires. You can now train CIFAR10 for just $0.06 Proposals whose "blockchain" would need to add 1GB/hour, that sort of thing. and ImageNet for $12.60 (4x less than in April!): [link].

Internet 192

Internet Internet Scalability Blockchain 192

The Netflix TechBlog

MARCH 14, 2023

Much of the ML literature focuses on model training, evaluation, and scoring. All of the text-based models in the platform are trained using English language so we translate non-English text to English. When onboarding embedding vector data we performed an extensive benchmarking to evaluate the available datastores.

Media 291

Media Innovation Energy Architecture 291

High Scalability

SEPTEMBER 7, 2018

Pflop/s : fully synchronous tensorflow data-parallel training; 3.3 Eli Bendersky : Just for fun, I rewrote the same benchmark in Go; two goroutines ping-ponging short message between themselves over a channel. They'll love you even more. The throughput this achieves is dramatically higher - around 2.8

Internet 137

Internet Internet Scalability Lambda 137

Highly Scalable

MARCH 10, 2015

can be estimated by means of classification and regression models trained on historical data for customers who have received incentives in the past and those who did not. Propensity models are regression and classification models trained on customer data. The mathematical expectations of the net revenue in the equations (1.2)

Retail 152

Retail C++ Analytics Metrics 152

Smashing Magazine

AUGUST 24, 2021

TAPP is a transit application (for buses and trains). When you create a linter, you are setting a benchmark of quality for your documentation. Below is an example style guide from the city bus application TAPP, taken from the book Strategic Writing for UX by Torrey Podmajersky. Large preview ). The same is true with documentation.

Development 119

Development Benchmarking Code Engineering 119

O'Reilly

OCTOBER 18, 2022

When that data is used to train an AI system, that system can replicate our bad behavior with speed and scale. While there are many interesting and useful benchmark datasets for testing bias in natural language processing, none provided these types of exhaustive demographic labels. Bias is about more than data and models.

Artificial Intelligence 116

Artificial Intelligence Government Healthcare Metrics 116

High Scalability

NOVEMBER 25, 2019

Once it's resolved our pipeline takes over and the ticket catches the next release train. The next release train is verified by automated REST API tests and some manual smoke tests. The dedicated Security team runs automated security benchmark tests before every release. How do you handle security?

Architecture 52

Architecture Cache Azure Storage 52