#benchmarking

[quotelr]

How do you visualize the success of those parts of the world falling under your leadership? What about the success of your organisation, your family and all the people related to the two institutions? How fulfilling are the results of this personal evaluation? What can you start doing about it, today?

Archibald Marwizi, Making Success Deliberate

[frog707]

Please hold

The project to convert my buildscripts to Kotlin is on hold because I have an EXCITING NEW PROJECT.

Earlier this month (June 2024) Mazhar Akbar drew my attention to his performance comparison between JMonkeyEngine and Godot on a physics-intensive workload. The comparison favored Godot by a large margin. I was skeptical at first, but gradually I became convinced that, in order to level the field, JMonkeyEngine needs a new physics engine, one based on Jolt Physics instead of Bullet.

So now I'm coding all-new JVM bindings for Jolt. Jolt is an open-source software project of some complexity (about 100,000 lines of C++ code), so this could take awhile. Please hold. But not your breath.

I'm having a blast!

[grapheneai]

Contact us at GrapheneAI to get ahead and make better decisions with benchmarking insights. 

[projectmanagertemplate]

Benchmarking is an ongoing process that adds structure and accountability to project management. By carefully selecting KPIs, gathering data, and comparing performance against benchmarks, project managers can make informed decisions to boost efficiency and drive project success. Take the time to incorporate benchmarking into your project management practices. it’s an investment in your team’s performance and your project’s ultimate success. Thanks for reading Project Benchmarking Tips to Track and Enhance Performance.

[govindhtech]

Application Performance Benchmarking Focused On Users

How to compare the application performance from the viewpoint of the user

How can you know what kind of performance your application has? More importantly, how well does your application function in the eyes of your end users?

Knowing how scalable your application is is not only a technical issue, but also a strategic necessity for success in this age of exponential growth and erratic traffic spikes. Naturally, giving end customers the best performance is a must, and benchmarking it is a crucial step in living up to their expectations.

To get a comprehensive picture of how well your application performs in real-world scenarios, you should benchmark full key user journeys (CUJs) as seen by the user, not just the individual components. Component-by-component benchmarking may miss certain bottlenecks and performance problems brought on by network latency, external dependencies, and the interaction of multiple components. You can learn more about the real user experience and find and fix performance problems that affect user engagement and satisfaction by simulating entire user flows.

This blog will discuss the significance of integrating end-user-perceived performance benchmarking into contemporary application development and how to foster an organizational culture that assesses apps immediately and keeps benchmarking over time. Google Kubernetes Engine (GKE) also demonstrates how to replicate complicated user behavior using the open-source Locust tool for use in your end-to-end benchmarking exercises.

The importance of benchmarking

You should incorporate strong benchmarking procedures into your application development process for a number of reasons:

Proactive performance management: By identifying and addressing performance bottlenecks early in the development cycle, early and frequent benchmarking can help developers save money, speed up time to market, and create more seamless product launches. Furthermore, by quickly identifying and resolving performance regressions, benchmarking can be incorporated into testing procedures to provide a vital safety net that protects code quality and user experience.

Continuous performance optimization: Because applications are dynamic, they are always changing due to user behavior, scaling, and evolution. Frequent benchmarking makes it easier to track performance trends over time, enabling developers to assess the effects of updates, new features, and system changes. This keeps the application responsive and consistently performant even as things change.

Bridging the gap between development and production: A realistic evaluation of application performance in a production setting can be obtained as part of a development process by benchmarking real-world workloads, images, and scaling patterns. This facilitates seamless transitions from development to deployment and helps developers proactively address possible problems.

Benchmarking scenarios to replicate load patterns in the real world

Benchmarking your apps under conditions that closely resemble real-world situations, such as deployment, scalability, and load patterns, should be your aim as a developer. This method evaluates how well apps manage unforeseen spikes in traffic without sacrificing user experience or performance.

To test and improve cluster and workload auto scalers, the GKE engineering team conducts comprehensive benchmarking across a range of situations. This aids in the comprehension of how autoscaling systems adapt to changing demands while optimizing resource use and preserving peak application performance.Image credit to Google Cloud

Application Performance tools

Locust for performance benchmarking and realistic load testing

Locust is an advanced yet user-friendly load-testing tool that gives developers a thorough grasp of how well an application performs in real-world scenarios by simulating complex user behavior through scripting. Locust makes it possible to create different load scenarios by defining and instantiating “users” that carry out particular tasks.

Locust in one example benchmark to mimic consumers requesting the 30th Fibonacci number from a web server. To maintain load balancing among many pods, each connection was closed and reestablished, resulting in a steady load of about 200 ms per request.

from locust import HttpUser, task

Simulating these complex user interactions in your application is comparatively simple with Locust. On a single system, it can produce up to 10,000 queries per second. It can also expand higher through unconventional distributed deployment. With users who display a variety of load profiles, it allows you to replicate real-world load patterns by giving you fine-grained control over the number of users and spawn rate through bespoke load shapes. It is expandable to a variety of systems, such as XML-RPC, gRPC, and different request-based libraries/SDKs, and it natively supports HTTP/HTTPS protocols for web and REST queries.

To provide an end-to-end benchmark of a pre-release autoscaling cluster setup, it has included a GitHub repository with this blog post. It is advised that you modify it to meet your unique needs.Image credit to Google Cloud

Delivering outstanding user experiences requires benchmarking end users’ perceived performance, which goes beyond simply being a best practice. Developers may determine whether their apps are still responsive, performant, and able to satisfy changing user demands by proactively incorporating benchmarking into the development process.

You can learn more about how well your application performs in a variety of settings by using tools like Locust, which replicate real-world situations. Performance is a continuous endeavor. Use benchmarking as a roadmap to create outstanding user experiences.

Reda more on govindhtech.com

[knowledgetics]

What is Business Benchmarking - Importance & Types

What is Business Benchmarking?

Business benchmarking is a systematic process of comparing your company's performance metrics to those of other organizations, both within and outside your industry. The primary goal of benchmarking is to identify areas for improvement and enhance overall business performance. By analyzing various aspects such as productivity, quality, and efficiency, businesses can gain valuable insights into how they stack up against competitors and industry leaders. This method not only aids in identifying performance gaps but also helps organizations set achievable targets and implement best practices that can lead to significant improvements.

Why Business Benchmarking is Important?

The importance of business benchmarking cannot be overstated. It serves as a crucial tool for organizations aiming to enhance their operational efficiency and competitiveness. Here are several key reasons why businesses should engage in benchmarking:

Identifying Best Practices: By comparing against high-performing peers, companies can discover effective strategies and processes that they can adopt or adapt for their own use.

Setting Performance Goals: Benchmarking provides a clear picture of where a business stands in relation to others, helping it to set realistic and attainable performance goals.

Enhancing Efficiency: Through the identification of performance gaps, businesses can target specific areas for improvement, leading to increased productivity and reduced costs.

Fostering a Culture of Continuous Improvement: Regular benchmarking encourages organizations to remain vigilant and proactive in their pursuit of excellence, fostering an environment where continuous improvement is the norm.

Informed Decision-Making: The insights gained from benchmarking can inform strategic decisions, making it easier for organizations to align their resources and capabilities with market demands.

Importance of Benchmarking in Business Growth

Business growth is often tied to an organization's ability to adapt and innovate. Benchmarking plays a pivotal role in this growth process by providing a framework for assessing current performance and identifying future opportunities. Here are a few ways benchmarking contributes to business growth:

Market Competitiveness: In today’s fast-paced business environment, staying competitive is vital. Benchmarking helps companies understand market trends and shifts, allowing them to adjust their strategies accordingly.

Customer Satisfaction: By comparing service delivery and product quality against industry standards, businesses can enhance their offerings and improve customer satisfaction, which is crucial for retention and growth.

Operational Excellence: Benchmarking encourages businesses to streamline operations and eliminate waste, thereby improving overall efficiency and profitability.

Risk Management: Understanding where a business stands relative to competitors can highlight potential risks and areas that require attention, enabling companies to mitigate threats before they escalate.

Innovation and Development: By observing how others innovate, businesses can inspire their own research and development initiatives, fostering a culture of creativity and adaptability.

Types of Business Benchmarking

There are several types of business benchmarking, each serving different purposes and offering unique insights:

Internal Benchmarking: This involves comparing performance metrics within different departments or branches of the same organization. It helps identify best practices internally and encourages departments to learn from each other.

Competitive Benchmarking: This type focuses on comparing performance against direct competitors. It provides insights into how well a company is performing in its specific market and identifies competitive advantages or weaknesses.

Functional Benchmarking: This involves comparing specific functions, such as customer service or supply chain management, with organizations that excel in those areas, regardless of the industry. It can provide innovative ideas that can be applied across various sectors.

Generic Benchmarking: This broader approach compares processes and performance metrics across industries. It is useful for organizations looking for unique ideas and approaches to improve their performance.

Strategic Benchmarking: This involves comparing the overall strategic initiatives and performance of a company with those of industry leaders. It helps organizations align their strategies with proven success models.

Best Business Benchmarking Services by Knowledgetics Research

For organizations looking to enhance their performance through effective benchmarking, partnering with a reliable business benchmarking consulting company is essential. Knowledgetics Research offers Business Benchmarking Services, providing tailored solutions that help businesses achieve their specific goals.

Our services include comprehensive performance analysis, competitor assessment, and the development of customized benchmarking strategies. With a team of experienced consultants, Knowledgetics Research employs data-driven methodologies to ensure accurate comparisons and actionable insights.

By leveraging our expertise, businesses can not only identify performance gaps but also implement strategies that foster growth and enhance competitiveness in an ever-evolving market landscape.

In conclusion, business benchmarking is a vital process that provides organizations with the tools they need to assess their performance, set goals, and drive growth. By understanding its importance and exploring the various types of benchmarking, companies can make informed decisions and continuously improve their operations. Engaging with the Best Business Benchmarking Services offered by Knowledgetics Research can further enhance these efforts, paving the way for sustained business success.

Contact Details

Name- Knowledgetics Research Phone- 91-9999108685 Email- contact@knowledgetics.com

[ltslean]

How to Perform Gap Analysis? : A Step-by-Step Guide

[melomanfrine]

Benchmarking: O Mundo da Comparação

Sabe quando você tá de olho no celular novo do seu amigo, aquele que tira fotos incríveis e roda jogos super modernos? Você fica se perguntando: "Será que o meu é tão bom quanto?". Ou quando você compara o seu salário com o da galera do trabalho, só para ter uma ideia se está na média? Ou, ainda, quando você coloca aquela sua receita de bolo de chocolate lado a lado com a da sua avó (a rainha da confeitaria!) para entender porque diabos a sua nunca fica tão fofinha? Pois é, meu amigo, isso tem tudo a ver com benchmarking, ou melhor, com a arte da comparação. No mundo real, a gente compara tudo o tempo, quase que sem perceber! É instinto natural, vai dizer? E no mundo dos negócios, essa mania de comparar vira ferramenta poderosa. A gente chama de benchmarking, um nome chique para uma ideia bem simples: dar uma espiadinha no que os outros estão fazendo para gente fazer igual… ou melhor!Ir para o site: https://manfrinemelo.com/benchmarking-o-mundo-da-comparacao/ Read the full article

[researchers-me]

Our primary focus is on market research and data analytics. We offer a range of Market Research Services, such as surveys, mystery shopping, benchmarking, and feasibility studies. Additionally, our analytics services include data analysis, reporting, and dashboard creation, which enables management to make informed decisions. We also assist companies in implementing analytics tools such as IBM Cognos and Power BI.

[interestingsnippets]

As AI is commercialised and deployed in a range of fields, there is a growing need for reliable and specific benchmarks. Startups that specialise in providing ai benchmarks are starting to appear... to give researchers, regulators and academics the tools they need to assess the capabilities of AI models, good and bad. The days of ai labs marking their own homework could soon be over.

GPT, Claude, Llama? How to tell which AI model is best

[grapheneai]

Businesses’ understanding of their market position and customer interactions is changing because of the incorporation of AI in brand equity and benchmarking studies. 

[projectmanagertemplate]

In Project management achieving excellence isn’t just about completing tasks on time and within budget; it's about continuously improving processes and practices. One valuable tool for organizations looking to enhance their project management capabilities is the P3M3 (Project, Program, and Portfolio Management Maturity Model). This model provides a structured framework for assessing and improving an organization’s maturity in managing projects, programs, and portfolios.

[jcmarchi]

Stable Diffusion 3.5: Architectural Advances in Text-to-Image AI

New Post has been published on https://thedigitalinsider.com/stable-diffusion-3-5-architectural-advances-in-text-to-image-ai/

Stable Diffusion 3.5: Architectural Advances in Text-to-Image AI

Stability AI has unveiled Stable Diffusion 3.5, marking yet another advancement in text-to-image AI models. This release represents a comprehensive overhaul driven by valuable community feedback and a commitment to pushing the boundaries of generative AI technology.

Following the June release of Stable Diffusion 3 Medium, Stability AI acknowledged that the model didn’t fully meet their standards or community expectations. Instead of rushing a quick fix, the company took a deliberate approach, focusing on developing a version that would advance their mission to transform visual media while implementing safety measures throughout the development process.

Key Improvements Over Previous Versions

The new release brings substantial improvements in several critical areas:

Enhanced Prompt Adherence: The model generates images with significantly improved understanding of complex prompts, rivaling the capabilities of much larger models.

Architectural Advancements: Implementation of Query-Key Normalization in transformer blocks has helped improve training stability and simplified fine-tuning processes.

Diverse Output Generation: Advanced capabilities in generating images representing different skin tones and features without requiring extensive prompt engineering.

Optimized Performance: Substantial improvements in both image quality and generation speed, particularly in the Turbo variant.

What sets Stable Diffusion 3.5 apart in the landscape of generative AI companies is its unique combination of accessibility and power. The release maintains Stability AI’s commitment to widely accessible creative tools while pushing the boundaries of technical capabilities. This positions the model family as a viable solution for both individual creators and enterprise users, backed by a clear commercial licensing framework that supports medium-sized businesses and larger organizations alike.

Stable Diffusion output (Stability AI)

Three Powerful Models for Every Use Case

Stable Diffusion 3.5 Large

The flagship model of the release, Stable Diffusion 3.5 Large, brings 8 billion parameters of processing power to bear on professional image generation tasks.

Key features include:

Professional-grade output at 1 megapixel resolution

Superior prompt adherence for precise creative control

Advanced capabilities in handling complex image concepts

Robust performance across diverse artistic processes

Large Turbo

The Large Turbo variant represents a breakthrough in efficient performance, offering:

High-quality image generation in just 4 steps

Exceptional prompt adherence despite increased speed

Competitive performance against non-distilled models

Optimal balance of speed and quality for production workflows

Medium Model

Set for release on October 29th, the Medium model with 2.5 billion parameters democratizes access to professional-grade image generation:

Efficient operation on standard consumer hardware

Generation capabilities from 0.25 to 2 megapixel resolution

Optimized architecture for improved performance

Superior results compared to other medium-sized models

Each model has been carefully positioned to serve specific use cases while maintaining Stability AI’s high standards for both image quality and prompt adherence.

Stable Diffusion 3.5 Large (Stability AI)

Next-Generation Architecture Improvements

The architecture of Stable Diffusion 3.5 represents a significant leap forward in image generation technology. At its core, the modified MMDiT-X architecture introduces sophisticated multi-resolution generation capabilities, particularly evident in the Medium variant. This architectural refinement enables more stable training processes while maintaining efficient inference times, addressing key technical limitations identified in previous iterations.

Query-Key (QK) Normalization: Technical Implementation

QK Normalization emerges as a crucial technical advancement in the model’s transformer architecture. This implementation fundamentally alters how attention mechanisms operate during training, providing a more stable foundation for feature representation. By normalizing the interaction between queries and keys in the attention mechanism, the architecture achieves more consistent performance across different scales and domains. This improvement particularly benefits developers working on fine-tuning processes, as it reduces the complexity of adapting the model to specialized tasks.

Benchmarking and Performance Analysis

Performance analysis reveals that Stable Diffusion 3.5 achieves remarkable results across key metrics. The Large variant demonstrates prompt adherence capabilities that rival those of significantly larger models, while maintaining reasonable computational requirements. Testing across diverse image concepts shows consistent quality improvements, particularly in areas that challenged previous versions. These benchmarks were conducted across various hardware configurations to ensure reliable performance metrics.

Hardware Requirements and Deployment Architecture

The deployment architecture varies significantly between variants. The Large model, with its 8 billion parameters, requires substantial computational resources for optimal performance, particularly when generating high-resolution images. In contrast, the Medium variant introduces a more flexible deployment model, functioning effectively across a broader range of hardware configurations while maintaining professional-grade output quality.

Stable Diffusion benchmarks (Stability AI)

The Bottom Line

Stable Diffusion 3.5 represents a significant milestone in the evolution of generative AI models, balancing advanced technical capabilities with practical accessibility. The release demonstrates Stability AI’s commitment to transform visual media while implementing comprehensive safety measures and maintaining high standards for both image quality and ethical considerations. As generative AI continues to shape creative and enterprise workflows, Stable Diffusion 3.5’s robust architecture, efficient performance, and flexible deployment options position it as a valuable tool for developers, researchers, and organizations seeking to leverage AI-powered image generation.

[malcified]

Today on #trialroom I’d like to share a sketch on #trustissues.

Trust (def): firm belief in the reliability, truth, or ability of someone or something.

The sketch may seem a bit dark, however, the actual stuff we do to each other in various settings to realize, snatch, force, betray, earn, build, and maintain trust is far insane.

The crazier and harder it gets to earn trust in the relationship, it can continue to get more extreme and dangerous to sustain such a relationship and it may sometimes be best to detach - temp or permanently.

“Trust testing” is a primal need and maybe unavoidable. However, the “true self” or the “real me” is a mental construct, since we keep evolving every moment and are as dynamic as the clouds - it may be impossible for us to realize our true self in a lifetime, so we can only share our perception of it with someone else, which will eventually change for ourselves and the other person. So holding ourself or someone else to it, maybe unhealthy. The root cause of abuse, addiction and other destructive behavior - of the self, other humans, insects, animals, ecosystem and the environment maybe related to trust issues.

Friendship is one of the greatest gifts of life and acceptance of ourself as a WIP, evolving, floating yet grounded being may allow us to accept others similarly.

[validworthblog]

Frequently asked questions FAQs on benchmarking in HSE.

Frequently asked questions on benchmarking in HSE. What is benchmarking in HSE? Benchmarking, as the name implies, is a process by which any organization compares its health and safety performance with others to learn how to reduce accidents and ill health and improve compliance with relevant health and safety laws. What are the top tips for setting up your Benchmarking scheme? The…