This document discusses ways to achieve cheap high-performance computing (HPC). It describes how graphics processing units (GPUs) can be used for general purpose computing through APIs like CUDA and OpenCL. GPUs have many parallel compute units that can speed up massively parallel problems. The document also discusses using cloud computing resources and Windows HPC Server to harness unused computing power for HPC tasks in a cost effective manner.
Improving Performance of a WebKit Port MIPS Platform (ELC 2014)Igalia
By Adrián Pérez
The MIPS processor cores are widely used in embedded platforms, including TVs and set-top-boxes. In most of those platforms dedicated graphics hardware exists but it may be specialized for its use in audio and video signal processing: rendering of web content has to be done in software. We implemented optimizations for the software-based QPainter renderer to improve the performance of Qt including QtWebKit in MIPS processors. The target platform was the modern 74kf cores, which include new SIMD instructions suitable for graphics operations (alpha blending, color space conversion and JPEG image decoding), and also for non-graphics operations: string functions were also improved. Our figures estimate that web pages are rendered up to 30% faster using hand-coded assembler fast-paths for those operations.
By Andy Wingo.
Now that JavaScriptCore is as fast as V8 on its own benchmark, it’s well past time to take a look inside JSC’s optimizing compiler, the DFG JIT.
In this talk we’ll take a look at how the DFG works, what kind of code it does well on, and where it’s going. This is a talk for folks that like bits and compilers, but also for people interested in another engine for high-performance JavaScript.
[Container X mas Party with flexy] Machine Learning Lifecycle with Kubeflow o...Naoki (Neo) SATO
[Container X mas Party with flexy] Machine Learning Lifecycle with Kubeflow on Azure Kubernetes Service (AKS)
https://satonaoki.wordpress.com/2018/12/18/kubeflow-azure/
Container X mas Party with flexy
https://flexy.connpass.com/event/110839/
Improving Performance of a WebKit Port MIPS Platform (ELC 2014)Igalia
By Adrián Pérez
The MIPS processor cores are widely used in embedded platforms, including TVs and set-top-boxes. In most of those platforms dedicated graphics hardware exists but it may be specialized for its use in audio and video signal processing: rendering of web content has to be done in software. We implemented optimizations for the software-based QPainter renderer to improve the performance of Qt including QtWebKit in MIPS processors. The target platform was the modern 74kf cores, which include new SIMD instructions suitable for graphics operations (alpha blending, color space conversion and JPEG image decoding), and also for non-graphics operations: string functions were also improved. Our figures estimate that web pages are rendered up to 30% faster using hand-coded assembler fast-paths for those operations.
By Andy Wingo.
Now that JavaScriptCore is as fast as V8 on its own benchmark, it’s well past time to take a look inside JSC’s optimizing compiler, the DFG JIT.
In this talk we’ll take a look at how the DFG works, what kind of code it does well on, and where it’s going. This is a talk for folks that like bits and compilers, but also for people interested in another engine for high-performance JavaScript.
[Container X mas Party with flexy] Machine Learning Lifecycle with Kubeflow o...Naoki (Neo) SATO
[Container X mas Party with flexy] Machine Learning Lifecycle with Kubeflow on Azure Kubernetes Service (AKS)
https://satonaoki.wordpress.com/2018/12/18/kubeflow-azure/
Container X mas Party with flexy
https://flexy.connpass.com/event/110839/
This is an introduction to polyaxon and why I use polyaxon.
Polyaxon enables me to leverage kubernetes to achieve the objectives:
- Make the lead time of experiments as short as possible.
- Make the financial cost to train models as cheap as possible.
- Make the experiments reproducible.
As a Machine Learning engineer, one of the most important tasks is to select the right hardware to run your ML workflow on. Is it an Intel CPU or an NVIDIA GPU?
Expect the unexpected from the results of the benchmark performed on the Recommender System created for one of Datatonic's customers, a top-5 UK retailer, on Google Cloud.
Optimize + Deploy Distributed Tensorflow, Spark, and Scikit-Learn Models on GPUsChris Fregly
Optimize + Deploy Distributed Tensorflow, Spark, and Scikit-Learn Models on GPUs @ Strata London, May 24 2017
Optimize + Deploy Distributed Tensorflow, Spark, and Scikit-Learn Models on GPUs - Advanced Spark and TensorFlow Meetup May 23 2017 @ Hotels.com London
We'll discuss how to deploy TensorFlow, Spark, and Sciki-learn models on GPUs with Kubernetes across multiple cloud providers including AWS, Google, and Azure - as well as on-premise.
In addition, we'll discuss how to optimize TensorFlow models for high-performance inference using the latest TensorFlow XLA (Accelerated Linear Algebra) framework including the JIT and AOT Compilers.
Github Repo (100% Open Source!)
https://github.com/fluxcapacitor/pipeline
http://pipeline.io
The presentation is given during the Computer Graphics seminar at the University of Tartu. It is an introductory overview of the GPGPU idea in general and gives "hello world" examples using old-school shader computing, OpenCL and CUDA. The code is available in my <a>Github repository</a>.
Horovod ubers distributed deep learning framework by Alex Sergeev from UberBill Liu
Presented at AI NEXTCon Seattle 1/17-20, 2018
http://aisea18.xnextcon.com
join our free online AI group with 50,000+ tech engineers to learn and practice AI technology, including: latest AI news, tech articles/blogs, tech talks, tutorial videos, and hands-on workshop/codelabs, on machine learning, deep learning, data science, etc..
A quick intro to why you might use Gulp and how to get started. Produced for the May KnoxvilleJS Meetup.
See a sample gulpfile from a recent project at https://gist.github.com/raddevon/35ce4c50855d8334ff2f
Tomasz Górski: Rapid application development to definicja, która raczej nie kojarzy się z pisaniem testów automatycznych – czy to jednostkowych, czy E2E. Nie ma co ukrywać, testowanie jest kosztowne, ponieważ wymaga dużo czasu. Podczas prezentacji pokażę wam jednak, jak można niskim kosztem pokryć testami dowolną aplikację. Zaprezentuję szereg narzędzi, które pomogą znacznie przyśpieszyć wytwarzanie testów przez developerów, a jednocześnie pozwolą na szybkie prototypowanie.
Presentation reporting the current situation and projected requirements for the University of Bristol, delivered at the Jisc, Janet and the Digital Curation Centre (DCC) workshop on universities' Research Data Management Storage Requirements, February 2013, London.
This is an introduction to polyaxon and why I use polyaxon.
Polyaxon enables me to leverage kubernetes to achieve the objectives:
- Make the lead time of experiments as short as possible.
- Make the financial cost to train models as cheap as possible.
- Make the experiments reproducible.
As a Machine Learning engineer, one of the most important tasks is to select the right hardware to run your ML workflow on. Is it an Intel CPU or an NVIDIA GPU?
Expect the unexpected from the results of the benchmark performed on the Recommender System created for one of Datatonic's customers, a top-5 UK retailer, on Google Cloud.
Optimize + Deploy Distributed Tensorflow, Spark, and Scikit-Learn Models on GPUsChris Fregly
Optimize + Deploy Distributed Tensorflow, Spark, and Scikit-Learn Models on GPUs @ Strata London, May 24 2017
Optimize + Deploy Distributed Tensorflow, Spark, and Scikit-Learn Models on GPUs - Advanced Spark and TensorFlow Meetup May 23 2017 @ Hotels.com London
We'll discuss how to deploy TensorFlow, Spark, and Sciki-learn models on GPUs with Kubernetes across multiple cloud providers including AWS, Google, and Azure - as well as on-premise.
In addition, we'll discuss how to optimize TensorFlow models for high-performance inference using the latest TensorFlow XLA (Accelerated Linear Algebra) framework including the JIT and AOT Compilers.
Github Repo (100% Open Source!)
https://github.com/fluxcapacitor/pipeline
http://pipeline.io
The presentation is given during the Computer Graphics seminar at the University of Tartu. It is an introductory overview of the GPGPU idea in general and gives "hello world" examples using old-school shader computing, OpenCL and CUDA. The code is available in my <a>Github repository</a>.
Horovod ubers distributed deep learning framework by Alex Sergeev from UberBill Liu
Presented at AI NEXTCon Seattle 1/17-20, 2018
http://aisea18.xnextcon.com
join our free online AI group with 50,000+ tech engineers to learn and practice AI technology, including: latest AI news, tech articles/blogs, tech talks, tutorial videos, and hands-on workshop/codelabs, on machine learning, deep learning, data science, etc..
A quick intro to why you might use Gulp and how to get started. Produced for the May KnoxvilleJS Meetup.
See a sample gulpfile from a recent project at https://gist.github.com/raddevon/35ce4c50855d8334ff2f
Tomasz Górski: Rapid application development to definicja, która raczej nie kojarzy się z pisaniem testów automatycznych – czy to jednostkowych, czy E2E. Nie ma co ukrywać, testowanie jest kosztowne, ponieważ wymaga dużo czasu. Podczas prezentacji pokażę wam jednak, jak można niskim kosztem pokryć testami dowolną aplikację. Zaprezentuję szereg narzędzi, które pomogą znacznie przyśpieszyć wytwarzanie testów przez developerów, a jednocześnie pozwolą na szybkie prototypowanie.
Presentation reporting the current situation and projected requirements for the University of Bristol, delivered at the Jisc, Janet and the Digital Curation Centre (DCC) workshop on universities' Research Data Management Storage Requirements, February 2013, London.
A lecture slide on the Fetch and Execute Cycle and Machine Cycle Timing Diagrams as outlined from the book Microprocessors and MIcrocomputers by John Uffenbeck
A lecture slide on the the introduction to microprocessors and microcomputers as outlined from the book Microprocessors and MIcrocomputers by John Uffenbeck
Intro - End to end ML with Kubeflow @ SignalConf 2018Holden Karau
There are many great tools for training machine learning tools, ranging from sci-kit to Apache Spark, and tensorflow. However many of these systems largely leave open the question how to use our models outside of the batch world (like in a reactive application). Different options exist for persisting the results and using them for live training, and we will explore the trade-offs of the different formats and their corresponding serving/prediction layers.
Using GPUs to Handle Big Data with JavaTim Ellison
A copy of the slides presented at JavaOne conference 2014.
Learn how Java can exploit the power of graphics processing units (GPUs) to optimize high-performance enterprise and technical computing applications such as big data and analytics workloads. This presentation covers principles and considerations for GPU programming from Java and looks at the software stack and developer tools available. It also presents a demo showing GPU acceleration and discusses what is coming in the future.
Euro python2011 High Performance PythonIan Ozsvald
I ran this as a 4 hour tutorial at EuroPython 2011 to teach High Performance Python coding.
Techniques covered include bottleneck analysis by profiling, bytecode analysis, converting to C using Cython and ShedSkin, use of the numerical numpy library and numexpr, multi-core and multi-machine parallelisation and using CUDA GPUs.
Write-up with 49 page PDF report: http://ianozsvald.com/2011/06/29/high-performance-python-tutorial-v0-1-from-my-4-hour-tutorial-at-europython-2011/
Using GPUs to handle Big Data with Java by Adam Roberts.J On The Beach
Modern graphics processing units (GPUs) are efficient general-purpose stream processors. Learn how Java can exploit the power of GPUs to optimize high-performance enterprise and technical computing applications such as big data and analytics workloads. This presentation covers principles and considerations for GPU programming from Java and looks at the software stack and developer tools available. It also presents a demo showing GPU acceleration and discusses what is coming in the future.
CMP208_Unleash Your Graphics Solutions with the Flexibility of Elastic GPUsAmazon Web Services
AWS provides unprecedented processing power for graphics-intensive applications in areas such as design, engineering simulations, and 3D content rendering. With Amazon EC2 Elastic GPUs, you can easily attach low-cost graphics acceleration to a wide range of EC2 instances over the network, without the constraints of fixed instance types. In this session, learn more about Elastic GPUs architecture, and how you can build powerful graphics-intensive solutions with great flexibility, high quality, and low cost. Our guest speakers discuss their experience building application streaming and SaaS products on top of Elastic GPUs. You also hear from our ISV partners about certifying Elastic GPUs for their 3D applications.
Solving channel coding simulation and optimization problems using GPUUsatyuk Vasiliy
Based on several important examples we show great potencial of GPU in codes on the graph optimization (probabalistical graphical model). We consider error-floor estimation weighed of Trapping Sets, Matrix multiplication operation (which important for fast sieving of LDPC using spectral graph analisys Tanner bound and cycle enumerating using lollipop cycles count in LDPC) and Monte-Carlo simulation of LDPC and Turbo Codes.
Despite the increase of deep learning practitioners and researchers, many of them do not use GPUs, this may lead to long training/evaluation cycles and non-practical research.
In his talk, Lior shares how to get started with GPUs and some of the best practices that helped him during research and work. The talk is for everyone who works with machine learning (deep learning experience is NOT mandatory!), It covers the very basics of how GPU works, CUDA drivers, IDE configuration, training, inference, and multi-GPU training.
Deep Dive on Amazon EC2 Elastic GPUs - May 2017 AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Get an overview of Elastic GPUs
- Dive deep on the technical capabilities of Elastic GPUs
- Learn best practices when using Elastic GPUs
Amazon EC2 Elastic GPUs allow you to easily attach low-cost graphics acceleration to current generation EC2 instances. With Elastic GPUs, you choose the GPU resources that are sized for your workload, so you can accelerate the graphics performance of your applications for a fraction of the cost of stand-alone graphics instances. In this tech talk, we will provide a deep dive on the capabilities of Elastic GPUs and its use case.
Deep Dive: Amazon EC2 Elastic GPUs - May 2017 AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Get an overview of Elastic GPUs
- Dive deep on the technical capabilities of Elastic GPUs
- Learn best practices when using Elastic GPUs
Amazon EC2 Elastic GPUs allow you to easily attach low-cost graphics acceleration to current generation EC2 instances. With Elastic GPUs, you choose the GPU resources that are sized for your workload, so you can accelerate the graphics performance of your applications for a fraction of the cost of stand-alone graphics instances. In this tech talk, we will provide a deep dive on the capabilities of Elastic GPUs and its use case.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
2. About Me
Consultant for HMB, Inc.
.NET / Web / Java Developer
Polyglot Glutton - dabble in a lot of other
languages.
BSCSE, The Ohio State University
12. GPGPU
GPUs are great at simple programs that are
massively parallel, such as rendering images.
13. GPGPU
GPUs are great at simple programs that are
massively parallel, such as rendering images.
They can do this because they have many
shaders, or “Compute Units”
14. GPGPU
GPUs are great at simple programs that are
massively parallel, such as rendering images.
They can do this because they have many
shaders, or “Compute Units”
Shaders can be programmed to do most things
that a normal CPU can do.
17. GPGPU!
This Laptop (2007):
32 Compute Units across 4 cores @ 940 Mhz
128 MB DDR3
Tesla (NVidia GPGPU card)
448 Compute Units across 16 cores @ 1.15 Ghz
Up to 5GB DDR5
18. GPGPU!
This laptop’s GPU has about as much computing
power as the world’s fastest supercomputer
in 1993 (~91 GigaFLOPS)
19. GPGPU!
Special desktop computers with 4 Tesla cards can
do about ~4-5 TerraFLOPS
About the fastest supercomputer in 1999-2000,
ON YOUR DESKTOP
27. Problem Euler Demo
The following iterative sequence is defined for the set of positive integers:
n n/2 (n is even)
n 3n + 1 (n is odd)
Using the rule above and starting with 13, we generate the following sequence:
13 40 20 10 5 16 8 4 2 1
36. The Cloud
If you use the cloud for your site or as a datastore
right now, you can acquisition temporary extra
computing power very easily.
37. The Cloud
TalentRooster needed to re-encode all 1200 of
their video resumes.
To do this locally, it would have taken about 27
hours, with 60% of that time would have been
downloading and uploading.
44. HPC Server
Instead of buying more computing power, just
make idle computers do your work.
45. HPC Server
HPC Server 2008 R2 allows you to add
Windows 7 workstations as compute nodes.
Also allows Azure instances to be added as
compute nodes when you need extra horsepower.