The document discusses Terracotta's OffHeap library, which provides a map implementation that stores data outside the Java heap in direct memory to avoid garbage collection overhead. It summarizes how OffHeap maps replace standard JDK maps by storing keys and values directly in native memory rather than as objects. It also describes how OffHeap handles serialization, concurrency, and other aspects to emulate concurrent maps without using the Java heap.
This presentation explains how to deploy and use the Integrated Caching feature on Netscaler. I gave this presentation to Citrix staff, customers and partners in worldwide in 2011. The presentation covers best practices and gotchas :) Integrated Caching is an excellent feature that can greatly improve the performance of your website.
This is Apache ZooKeeper session.
ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services.
By the end of this presentation you should be fairly clear about Apache ZooKeeper.
To watch the video or know more about the course, please visit
http://www.knowbigdata.com/page/big-data-and-hadoop-online-instructor-led-training
Introduction to Apache ZooKeeper | Big Data Hadoop Spark Tutorial | CloudxLabCloudxLab
Big Data with Hadoop & Spark Training: http://bit.ly/2kvXlPd
This CloudxLab Introduction to Apache ZooKeeper tutorial helps you to understand ZooKeeper in detail. Below are the topics covered in this tutorial:
1) Data Model
2) Znode Types
3) Persistent Znode
4) Sequential Znode
5) Architecture
6) Election & Majority Demo
7) Why Do We Need Majority?
8) Guarantees - Sequential consistency, Atomicity, Single system image, Durability, Timeliness
9) ZooKeeper APIs
10) Watches & Triggers
11) ACLs - Access Control Lists
12) Usecases
13) When Not to Use ZooKeeper
This presentation explains how to deploy and use the Integrated Caching feature on Netscaler. I gave this presentation to Citrix staff, customers and partners in worldwide in 2011. The presentation covers best practices and gotchas :) Integrated Caching is an excellent feature that can greatly improve the performance of your website.
This is Apache ZooKeeper session.
ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services.
By the end of this presentation you should be fairly clear about Apache ZooKeeper.
To watch the video or know more about the course, please visit
http://www.knowbigdata.com/page/big-data-and-hadoop-online-instructor-led-training
Introduction to Apache ZooKeeper | Big Data Hadoop Spark Tutorial | CloudxLabCloudxLab
Big Data with Hadoop & Spark Training: http://bit.ly/2kvXlPd
This CloudxLab Introduction to Apache ZooKeeper tutorial helps you to understand ZooKeeper in detail. Below are the topics covered in this tutorial:
1) Data Model
2) Znode Types
3) Persistent Znode
4) Sequential Znode
5) Architecture
6) Election & Majority Demo
7) Why Do We Need Majority?
8) Guarantees - Sequential consistency, Atomicity, Single system image, Durability, Timeliness
9) ZooKeeper APIs
10) Watches & Triggers
11) ACLs - Access Control Lists
12) Usecases
13) When Not to Use ZooKeeper
Troubleshooting Complex Oracle Performance Problems with Tanel PoderTanel Poder
Troubleshooting Complex Oracle Performance Problems hacking session & presentation by Tanel Poder.
This presentation is about a complex performance issue where the initial symptoms pointed somewhere else than the root cause. Only when systematically following through the troubleshooting drilldown method, we get to the root cause of the problem. This session aims to help you understand (and reason about) the Oracle’s multi-process & multi-layer system behavior, preparing you for independent troubleshooting of such complex performance issues in the future.
Video recordings of this presentation are in my YouTube channel:
1) Hacking Session: https://www.youtube.com/watch?v=INQewGJMdCI
2) Presentation: https://www.youtube.com/watch?v=aaHZ8A8Ygdg
Tanel's blog and training information: https://blog.tanelpoder.com/seminar
Oracle Latch and Mutex Contention TroubleshootingTanel Poder
This is an intro to latch & mutex contention troubleshooting which I've delivered at Hotsos Symposium, UKOUG Conference etc... It's also the starting point of my Latch & Mutex contention sections in my Advanced Oracle Troubleshooting online seminar - but we go much deeper there :-)
Empowering developers to deploy their own data storesTomas Doran
Empowering developers to deploy their own data stores using Terrafom, Puppet and rage. A talk about automating server building and configuration for Elasticsearch clusters, using Hashicorp and puppet labs tool. Presented at Config Management Camp 2016 in Ghent
Description of some of the elements that go in to creating a PostgreSQL-as-a-Service for organizations with many teams and a diverse ecosystem of applications and teams.
Today's high-traffic web sites must implement performance-boosting measures that reduce data processing and reduce load on the database, while increasing the speed of content delivery. One such method is the use of a cache to temporarily store whole pages, database recordsets, large objects, and sessions. While many caching mechanisms exist, memcached provides one of the fastest and easiest-to-use caching servers. Coupling memcached with the alternative PHP cache (APC) can greatly improve performance by reducing data processing time. In this talk, Ben Ramsey covers memcached and the pecl/memcached and pecl/apc extensions for PHP, exploring caching strategies, a variety of configuration options to fine-tune your caching solution, and discusses when it may be appropriate to use memcached vs. APC to cache objects or data.
5 Takeaways from Migrating a Library to Scala 3 - Scala LoveNatan Silnitsky
Scala 3 is going to make Scala more easy to write, and especially read. more power features like enums and less misleading keywords like implicit.
But first we need to migrate our old Scala 2.12 / 2.13 codebase to Scala 3.
This talk tells the story of how I tried to migrate greyhound open-source library to Scala 3 with partial success.
You will hear about what works, what doesn't and about a few pitfalls to avoid
Migration takeaways include:
1. use migration tools, don't do it manually
2. which popular 3rd party libraries can and can't be used by Scala 3 code
and many more
Fast as C: How to Write Really Terrible JavaCharles Nutter
For years we’ve been told that the JVM’s amazing optimizers can take your running code and make it “fast” or “as fast as C++” or “as fast as C”…or sometimes “faster than C”. And yet we don’t often see this happen in practice, due in large part to (good and bad) development patterns that have taken hold in the Java world.
In this talk, we’ll explore the main reasons why Java code rarely runs as fast as C or C++ and how you can write really bad Java code that the JVM will do a better job of optimizing. We’ll take some popular microbenchmarks and burn them to the ground, monitoring JIT logs and assembly dumps along the way.
PostgreSQL as seen by Rubyists (Kaigi on Rails 2022)Андрей Новиков
PostgreSQL has become the most popular RDBMS in the Ruby ecosystem in the last decade. It has a great set of built-in features, including a variety of versatile data types, both common and very specific.
But when we load data from the database to our application code, we're working with Ruby data types: classes from the standard library, Rails, or other gems. So while they can seem to be the same as their PostgreSQL counterparts, they are not absolutely identical, and sometimes that could lead to surprising behavior.
In this talk, I would like to explore the power of data types in PostgreSQL and Ruby and how to work with them properly to use both Ruby and PostgreSQL on 100% of their power!
Troubleshooting Complex Oracle Performance Problems with Tanel PoderTanel Poder
Troubleshooting Complex Oracle Performance Problems hacking session & presentation by Tanel Poder.
This presentation is about a complex performance issue where the initial symptoms pointed somewhere else than the root cause. Only when systematically following through the troubleshooting drilldown method, we get to the root cause of the problem. This session aims to help you understand (and reason about) the Oracle’s multi-process & multi-layer system behavior, preparing you for independent troubleshooting of such complex performance issues in the future.
Video recordings of this presentation are in my YouTube channel:
1) Hacking Session: https://www.youtube.com/watch?v=INQewGJMdCI
2) Presentation: https://www.youtube.com/watch?v=aaHZ8A8Ygdg
Tanel's blog and training information: https://blog.tanelpoder.com/seminar
Oracle Latch and Mutex Contention TroubleshootingTanel Poder
This is an intro to latch & mutex contention troubleshooting which I've delivered at Hotsos Symposium, UKOUG Conference etc... It's also the starting point of my Latch & Mutex contention sections in my Advanced Oracle Troubleshooting online seminar - but we go much deeper there :-)
Empowering developers to deploy their own data storesTomas Doran
Empowering developers to deploy their own data stores using Terrafom, Puppet and rage. A talk about automating server building and configuration for Elasticsearch clusters, using Hashicorp and puppet labs tool. Presented at Config Management Camp 2016 in Ghent
Description of some of the elements that go in to creating a PostgreSQL-as-a-Service for organizations with many teams and a diverse ecosystem of applications and teams.
Today's high-traffic web sites must implement performance-boosting measures that reduce data processing and reduce load on the database, while increasing the speed of content delivery. One such method is the use of a cache to temporarily store whole pages, database recordsets, large objects, and sessions. While many caching mechanisms exist, memcached provides one of the fastest and easiest-to-use caching servers. Coupling memcached with the alternative PHP cache (APC) can greatly improve performance by reducing data processing time. In this talk, Ben Ramsey covers memcached and the pecl/memcached and pecl/apc extensions for PHP, exploring caching strategies, a variety of configuration options to fine-tune your caching solution, and discusses when it may be appropriate to use memcached vs. APC to cache objects or data.
5 Takeaways from Migrating a Library to Scala 3 - Scala LoveNatan Silnitsky
Scala 3 is going to make Scala more easy to write, and especially read. more power features like enums and less misleading keywords like implicit.
But first we need to migrate our old Scala 2.12 / 2.13 codebase to Scala 3.
This talk tells the story of how I tried to migrate greyhound open-source library to Scala 3 with partial success.
You will hear about what works, what doesn't and about a few pitfalls to avoid
Migration takeaways include:
1. use migration tools, don't do it manually
2. which popular 3rd party libraries can and can't be used by Scala 3 code
and many more
Fast as C: How to Write Really Terrible JavaCharles Nutter
For years we’ve been told that the JVM’s amazing optimizers can take your running code and make it “fast” or “as fast as C++” or “as fast as C”…or sometimes “faster than C”. And yet we don’t often see this happen in practice, due in large part to (good and bad) development patterns that have taken hold in the Java world.
In this talk, we’ll explore the main reasons why Java code rarely runs as fast as C or C++ and how you can write really bad Java code that the JVM will do a better job of optimizing. We’ll take some popular microbenchmarks and burn them to the ground, monitoring JIT logs and assembly dumps along the way.
PostgreSQL as seen by Rubyists (Kaigi on Rails 2022)Андрей Новиков
PostgreSQL has become the most popular RDBMS in the Ruby ecosystem in the last decade. It has a great set of built-in features, including a variety of versatile data types, both common and very specific.
But when we load data from the database to our application code, we're working with Ruby data types: classes from the standard library, Rails, or other gems. So while they can seem to be the same as their PostgreSQL counterparts, they are not absolutely identical, and sometimes that could lead to surprising behavior.
In this talk, I would like to explore the power of data types in PostgreSQL and Ruby and how to work with them properly to use both Ruby and PostgreSQL on 100% of their power!
C has become pretty old school, but the way C developers now and throughout its history have used C, extended C is the foundation of a amazing dynamic languages. This talk describes some dynamic C data structures and also gives an overview of developing a language on top of these tools.
Presentation with a brief history of C, C++ and their ancestors along with an introduction to latest version C++11 and futures such as C++17. The presentation covers applications that use C++, C++11 compilers such as LLVM/Clang, some of the new language features in C++11 and C++17 and examples of modern idioms such as the new form compressions, initializer lists, lambdas, compile time type identification, improved memory management and improved standard library (threads, math, random, chrono, etc). (less == more) || (more == more)
Data Wars: The Bloody Enterprise strikes backVictor_Cr
I would like to describe such cases when we create problems for "future us" just by an accident. I will show how different Java data types can ease or increase the pain in supporting the application later. Most common pitfals and tricky corner cases you probably have never thought about.
Introduction to source{d} Engine and source{d} Lookout source{d}
Join us for a presentation and demo of source{d} Engine and source{d} Lookout. Combining code retrieval, language agnostic parsing, and git management tools with familiar APIs parsing, source{d} Engine simplifies code analysis. source{d} Lookout, a service for assisted code review that enables running custom code analyzers on GitHub pull requests.
Wolltest du schon immer die Vorteile und Ideen von Scala in deinen Java oder Kotlin Projekten nutzen? Dann ist Vavr (ehemals Javaslang) genau die richtige Bibliothek für dich.
Anhand echter Projektbeispiele schauen wir uns den Nutzen an, den Vavr mit seinen syntaktischen Erweiterungen und Features bei der täglichen Arbeit bietet. Wir schauen uns Value Types, echte funktionale Datentypen an und werden lernen, wie wir Exceptions sinnvoller behandeln können. Alles für besser wartbaren und sauberen Code!
Vavr bietet die Möglichkeit, die Vorteile objekt-funktionaler Programmierung zu nutzen, ohne Java den Rücken kehren zu müssen.
HBase Data Modeling and Access Patterns with Kite SDKHBaseCon
Speaker: Adam Warrington (Cloudera)
The Kite SDK is a set of libraries and tools focused on making it easier to build systems on top of the Hadoop ecosystem. HBase support has recently been added to the Kite SDK Data Module, which allows a developer to model and access data in HBase consistent with how they would model data in HDFS using Kite. This talk will focus on Kite's HBase support by covering Kite basics and moving through the specifics of working with HBase as a data source. This feature overview will be supplemented by specifics of how that feature is being used in production applications at Cloudera.
A long time ago in a galaxy far, far away...
Java open source developers managed to the see the previously secret plans to the Empire's ultimate weapon, the JAVA™ COLLECTIONS FRAMEWORK.
Evading the dreaded Imperial Starfleet, a group of freedom fighters investigate the performance of the Empire’s most popular weapons: LinkedList, ArrayList and HashMap. In addition, they investigate common developer errors and bugs to help protect their vital software. With this new found knowledge they strike back!
Pursued by the Empire's sinister agents, JDuchess races home aboard her JVM, investigating proposed future changes to the Java Collections and other options such as Immutable Collections which could save her people and restore freedom to the galaxy....
Jose Selvi - Side-Channels Uncovered [rootedvlc2018]RootedCON
En los últimos años, el término "side-channel" a pasado de ser un concepto únicamente conocido en el sector de hardware hacking a ser un término popular dentro de la industria debido a las vulnerabilidades que se han ido publicando. CRIME, BREACH o FIESTA son claros ejemplos de vulnerabilidades que explotan un side-channel en TLS. Más recientemente, también hemos visto vulnerabilidades empleando este mismo concepto en procesadores, como Spectre o Meltdown.
En esta charla, repasaremos el concepto de "side-channel" y haremos un repaso por las diferentes vulnerabilidades que se han ido publicando a lo largo de estos últimos años, explicando en que consisten y que limitaciones tienen.
C# 7.x What's new and what's coming with C# 8Christian Nagel
C# is extended in a fast pace – with new features allow to reduce the code you need to write, offer more safety, and gives better performance – and you still write safe code. In this session you are introduced to the new C# 7.0-7.3 features including tuples and pattern matching, and learn about the features planned with C# 8.0 such as nullable reference types, extensions for pattern matching, and the new switch expression.
The amount of data collected by applications nowadays is growing at a scary pace. Many of them need to handle billions of users generating and consuming data at an incredible speed. Maybe you are wondering how to create an application like this? What is required? What works best for your project?
In this session we’ll compare popular Java and JVM persistence frameworks for NoSQL databases: Spring Data, Micronaut, Hibernate OGM, Jakarta NoSQL, and GORM. How do they compare, what are the strengths, weaknesses, differences, and similarities? We’ll show each of them with a selection of different NoSQL database systems (Key-Value, Document, Column, Graph).
The data load on applications has increased exponentially in recent years. We know the JVM (Java Virtual Machine) can cope with heavy loads very well yet we often come across the big dilemma: there are tons of persistence frameworks out there but which one performs best for my case? It would normally take ages to evaluate and choose the best fit for your use case. We’ve done those comparisons for you.
String Comparison Surprises: Did Postgres lose my data?Jeremy Schneider
Comparisons are fundamental to computing - and comparing strings is not nearly as straightforward as you might think. Come learn about the history, nuance and surprises of “putting words in order” that you never knew existed in computer science, and how that nuance impacts both general programming and SQL programming. Next, walk through a few actual scenarios and demonstrations using PostgreSQL as a user and administrator, which you can re-run yourself later for further study, including one way you could easily corrupt your self-managed PostgreSQL database if you aren't prepared. Finally we’ll dive into an explanation of the surprising behaviors we saw in PostgreSQL, and learn more about user and administrative features PostgreSQL provides related to localized string comparison.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
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✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
2. @tall_chris#Devoxx #TCoffheap
Who Am I?
• Trained as a Physicist, clearly not trained as a Computer
Scientist.
• 4Years Doing Unnatural Things With Bytecode In Academia
• 3Years Doing Unnatural Things With Bytecode For Money
• 4Years Doing Unnatural Things With ByteBuffers
• 11Years Doing Java Development
• Software Engineer working at Terracotta (Software AG)
4. @tall_chris#Devoxx #TCoffheap
A Bit of History
2010 Started development as a caching ‘tier’ within Ehcache.
2011 Integrated as a caching tier in front of Oracle BDB in the
Terracotta Server.
2013 Legal complications push it in to service as the primary
storage for the Terracotta Server.
2015 Open Sourced (https://github.com/Terracotta-OSS/
offheap-store).
7. @tall_chris#Devoxx #TCoffheap
Problem Statement
• “a lot of caching” leads to
• a lot of heap, which leads to,
• a lot of work for the garbage collector, which leads to,
• a lot of GC pausing/overhead”
• The situation is markedly better now than when the bulk of this
library was written. (Please don’t tell my employer I said that)
8. @tall_chris#Devoxx #TCoffheap
Map/Cache Best Practices
• Immutable Keys
• please do this!
• ImmutableValues
• please do this!
• So with immutability everywhere, who cares about object
identity?
• If I don’t need object identity, do I need a heap?
• If I don’t need a heap, do I need a garbage collector?
9. @tall_chris#Devoxx #TCoffheap
Solution
• Replace heavy (large) map/cache usage with an ‘outside the
heap’ but ‘inside the process’ implementation.
• Benefits at two scales:
• At moderate scale, the GC offload reduces overheads.
• At large scale, we can still function: -Xmx6T
• Caveats
• Marshalling/unmarshalling costs time (and CPU)
• Trading away average latency to control the tail.
44. @tall_chris#Devoxx #TCoffheap
Options with 64 bits available
• 64 bit combined pointer
• 32 bit key pointer & 32 bit value pointer
• int key directly + 32 bit pointer
• long key directly + 32 bit pointer
• …anything else you like
48. @tall_chris#Devoxx #TCoffheap
A Native Heap Allocator
• malloc/free performed using a Java port of dlmalloc
• http://g.oswego.edu/dl/html/malloc.html
• Works well for our use cases as we do not generally control
or even know the malloc size distribution.
50. @tall_chris#Devoxx #TCoffheap
“Java Serialization Sucks”
• Serialization is self describing.
• It supports
• object identity
• cycles
• complex versioning
• Pretty heavyweight, especially for short streams…
• …but it’s the default serialization mechanism available in
Ehcache 2.x
51. @tall_chris#Devoxx #TCoffheap
“Java Serialization Sucks”
• serialize(new Integer(42))
• results in these 81 bytes:
0 1 2 3 4 5 6 7 8 9 A B C D E F
0 AC ED 00 05 73 72 00 11 6A 61 76 61 2E 6C 61 6E
1 67 2E 49 6E 74 65 67 65 72 12 E2 A0 A4 F7 81 87
2 38 02 00 01 49 00 05 76 61 6C 75 65 78 72 00 10
3 6A 61 76 61 2E 6C 61 6E 67 2E 4E 75 6D 62 65 72
4 86 AC 95 1D 0B 94 E0 8B 02 00 00 78 70 00 00 00
5 2A
52. @tall_chris#Devoxx #TCoffheap
OffHeap’s Serialization Sucks Less?
• serialize(new Integer(42))
• results in 22 bytes
0 1 2 3 4 5 6 7 8 9 A B C D E F
0 AC ED 00 05 73 72 00 00 00 00 78 72 00 00 00 01
1 78 70 00 00 00 2A
2
3
4
5
54. @tall_chris#Devoxx #TCoffheap
With some structure
STREAM_MAGIC STREAM_VERSION
TC_OBJECT
TC_CLASSDESC descriptor(0)
TC_END_BLOCKDATA
TC_CLASSDESC descriptor(1)
TC_END_BLOCKDATA
TC_NULL
0000002A
55. @tall_chris#Devoxx #TCoffheap
Where did the 59 bytes go?
• How many types are in my map?
• All keys the same type: really common
• All values the same type: fairly common
• Stick those common ObjectStreamClass instances in a look
aside structure
• Map<Integer, ObjectStreamClass> for reading streams
• Map<SerializableDataKey, Integer> for writing streams
59. @tall_chris#Devoxx #TCoffheap
j.u.c.ConcurrentMap
• What does a concurrent map provide?
• happens-before relationship: “actions in a thread prior to placing an
object into a ConcurrentMap as a key or value happen-before actions
subsequent to the access or removal of that object from the
ConcurrentMap in another thread”
• atomic operations: “…except that the action is performed atomically.”
• What do we want?
• concurrent access (readers and writers)
60. @tall_chris#Devoxx #TCoffheap
Happens Before Relationships
• volatile write/read
• but not on offheap memory locations
• synchronized
• needs a heap object
• other j.u.c classes (Lock,Atomic…)
• needs a heap object
• There is no way within the JDK to enforce a happens before
relationship between writes/reads of an offheap location…
61. @tall_chris#Devoxx #TCoffheap
No Unsafe please, we’re a library
• Our testing has never shown our offheap implementation to
be a bottleneck in our usages.
• Unnecessary complexity costs $$$
• support
• maintenance
• bugs
65. @tall_chris#Devoxx #TCoffheap
A ‘Concurrent’ Map
✅ happens-before relationship: “actions in a thread prior to
placing an object into a ConcurrentMap as a key or value
happen-before actions subsequent to the access or removal of
that object from the ConcurrentMap in another thread”
✅ atomic operations: “…except that the action is performed
atomically.”
⚠ concurrent access (readers and writers)