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. This lead to me rewriting the heap so that it would use 64-KiB pages, thus avoiding most of the TLB misses and restoring the expected performance. I wrote a lot of benchmarks.

Cache 126

Cache Latency Benchmarking Hardware 126

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. You’ve probably heard of Patreon.

Database 88

Database Open Source Benchmarking Strategy 88

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. I had attended these events when I was based in the UK, but became one of the organizers.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Speed Curve

FEBRUARY 10, 2020

Here are some common questions I’m asked when I talk with people about performance: Which metrics should I care about? What are some good sites I can use for benchmarking? With Page Speed Benchmarks, you can do things like: See what the different metrics actually mean in terms of user-perceived performance.

Benchmarking 134

Benchmarking Speed Performance Media 134

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Finally, we show that Seer can identify application level design bugs, and provide insights on how to better architect microservices to achieve predictable performance. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

Tasktop

JULY 22, 2021

Are they meeting their benchmarks for adoption, are their outcomes improving, are the KPIs different? As we are all experiencing, business agility sets new performance standards for organizations, requiring fast, effective response to emerging business opportunities,” writes Risa Wilmeth for Scaled Agile.

Metrics 98

Metrics DevOps Efficiency Benchmarking 98

Tasktop

DECEMBER 12, 2022

Morale and performance were at an all-time low, and the team’s backlog was almost entirely filled with defect work. . To start, the leaders decided to use Flow Time to benchmark the team’s performance. Managing flow has a positive impact on the performance of the team, client satisfaction, and employee engagement. .

Metrics 52

Metrics Benchmarking Efficiency Speed 52

The Netflix TechBlog

JUNE 20, 2023

At Netflix, such workflows are performed hundreds of times a day by many teams around the world, so investing in algorithmically-assisted tooling around content understanding can reap outsized rewards. Figure 1: a scene consists of a sequence of shots. However, it presupposes the availability of high-quality screenplays.

Benchmarking 262

Benchmarking C++ Availability Programming 262

Percona

MARCH 23, 2023

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Although there have been many blogs about adjusting MySQL variables for better performance since then, I think this topic deserves a blog update since the last update was a decade ago, and MySQL 5.7

Performance 130

Performance Hardware Tuning Storage 130

DZone

FEBRUARY 27, 2021

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. Recently, I spent some time checking on the Performance (not a very detailed study) of the various programming languages.

Java 210

Java C++ Benchmarking Programming 210

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 253

Energy Cloud Airlines Strategy 253

Alex Russell

MAY 9, 2022

Despite advances in browser tooling , automated evaluation , lab tools , guidance , and runtimes , however, teams struggle to deliver even decent performance with today's popular frameworks. What is Performance? It may seem a silly question, but what is performance, exactly?

Performance 99

Performance Latency Metrics Engineering 99

Alex Russell

JANUARY 30, 2024

The usual caveats also apply: Performance is a deep and nuanced domain, and much can go wrong beyond content size and composition. How sites manage resources after-load can have a big impact on perceived performance. Until and unless teams have better data about their performance, the global baseline budget should be enforced.

Performance 98

Performance Network Mobile Speed 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 The R5a, M5a and T3a instances purportedly will offer a 10% price-to-performance advantage over AWS's other cloud instances. MLPerf's deadline is also soon ([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. In addition, we were able to perform a handful of A/B tests to validate or negate our hypotheses for tuning the search experience. Users have flexibility to perform multimodal search with input being a simple text term, image or short video.

Media 299

Media Innovation Energy Architecture 299

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Executing cutting-edge intelligent apps’ deployment after successful training becomes much easier thanks primarily to this functionality made possible!

Cloud 130

Cloud Virtualization Storage Efficiency 130

High Scalability

SEPTEMBER 7, 2018

Pflop/s : fully synchronous tensorflow data-parallel training; 3.3 Of course, in some cases the difference to performance is small enough that one can live with it, but it’s often bad enough to be a problem. We fairly frequently see performance get 5% or more worse over time in a single process execution.

Internet 137

Internet Internet Scalability Lambda 137

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

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

Alex Russell

APRIL 29, 2021

Classics of the genre include: Apple's just focused on performance! The Performance Argument. 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. This is as it should be.

Media 145

Media Games Education Engineering 145

The Morning Paper

JUNE 27, 2019

In this paper we argue that systems for numerical computing are stuck in a local basin of performance and programmability. 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. GPU and TPU).

Systems 87

Systems Programming Tuning Innovation 87

Adrian Cockcroft

JANUARY 20, 2023

on Myths and Legends of High Performance Computing  — it’s a somewhat light-hearted look at some of the same issues by the leader of the team that built the Fugaku system I mention below. Over time we are seeing more applications with more complex physics and simulation characteristics so HPCG is becoming more relevant as a benchmark.

Architecture 52

Architecture Latency Benchmarking AWS 52

Percona

JUNE 22, 2023

With MongoDB, you can set read-only privileges in which users can query data but cannot perform write operations. This helps prevent the possibility of a single point of failure, which could cause downtime or slow performance. How does high availability work?

Availability 112

Availability Database Open Source Hardware 112

IO River

NOVEMBER 15, 2023

‍Think of it as the captain of a well-trained squad, each member with a specialized skill set. Before full-scale deployment, it's crucial to test the WAF's impact on application performance. Benchmarks should be established to measure the latency introduced by the WAF, ensuring it stays within acceptable limits.‍Conclusion‍In

Traffic 52

Traffic Network Logistics Architecture 52

IO River

NOVEMBER 2, 2023

Think of it as the captain of a well-trained squad, each member with a specialized skill set. They provide a consolidated view of all traffic and security events, enabling quicker and more informed decision-making.‍Before full-scale deployment, it's crucial to test the WAF's impact on application performance.

Traffic 40

Traffic Network Logistics Architecture 40

Highly Scalable

MARCH 10, 2015

The goal is to find a set of the most promising candidates who should receive the resource in order to maximize the overall performance of the targeted group of customers. 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.

Retail 152

Retail C++ Analytics Metrics 152

O'Reilly

OCTOBER 18, 2022

AI audit firms tend to perform a mix of audits and assessments. When that data is used to train an AI system, that system can replicate our bad behavior with speed and scale. Many organizations now perform fuzzy keyword matching and resume scanning based on LLMs. being the only law firm of the bunch. Data labeling is a problem.

Artificial Intelligence 120

Artificial Intelligence Government Healthcare Metrics 120

High Scalability

NOVEMBER 25, 2019

For e.g., if accessing file system over WebDAV or FTP has performance issues, and it will take 4 hours to fix, then for those 4 hours, you can just kill FTP/WebDAV at kong/firewall and ask customers to use web UI or other mechanisms to work. Who performs what roles? Combination of unit, functional, integration and performance tests.

Architecture 52

Architecture Cache Azure Storage 52