Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers pseudo random number generation, the first-ever MONAI Bootcamp, upcoming GPU Hackathons and Bootcamps, and new resources!
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers pseudo random number generation, the first-ever MONAI Bootcamp, upcoming GPU Hackathons and Bootcamps, and new resources!
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers working on applications for the new Frontier supercomputer, using OpenACC for weather forecasting, upcoming GPU Hackathons and Bootcamps, and new resources!
Accelerating algorithmic and hardware advancements for power efficient on-dev...Qualcomm Research
Artificial Intelligence (AI), specifically deep learning, is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. However, the deep neural networks of today are growing quickly in size and use too much memory, compute, and energy. Plus, to make AI truly ubiquitous, it needs to run on the end device within a tight power and thermal budget. One approach to address these issues is Bayesian deep learning. This presentation covers:
• Why AI algorithms and hardware need to be energy efficient
• How Bayesian deep learning is making neural networks more power efficient through model compression and quantization
• How we are doing fundamental research on AI algorithms and hardware to maximize power efficiency
4 TeraGrid Sites Have Focal Points:
SDSC – The Data Place
Large-scale and high-performance data analysis/handling
Every Cluster Node is Directly Attached to SAN
NCSA – The Compute Place
Large-scale, Large Flops computation
Argonne – The Viz place
Scalable Viz walls
Caltech – The Applications place
Data and flops for applications – Especially some of the GriPhyN Apps
Specific machine configurations reflect this
How to leverage Quantum Computing and Generative AI for Clean Energy Transiti...Sayonsom Chanda
Explore the cutting-edge: Quantum computing and generative AI solutions for accelerating the clean energy transition. Discover applications for optimization, simulation, and innovation in the clean energy and utility sector.
byteLAKE's expertise across NVIDIA architectures and configurationsbyteLAKE
AI Solutions for Industries | Quality Inspection | Data Insights | AI-accelerated CFD | Self-Checkout | byteLAKE.com
byteLAKE: Empowering Industries with AI Solutions. Embrace cutting-edge technology for advanced quality inspection, data insights, and more. Harness the potential of our CFD Suite, accelerating Computational Fluid Dynamics for heightened productivity. Unlock new possibilities with Cognitive Services: image analytics for precise visual inspection for Manufacturing, sound analytics enabling proactive maintenance for Automotive, and wet line analytics for the Paper Industry. Seamlessly convert data into actionable insights using Data Insights' AI module, enabling advanced predictive maintenance and risk detection. Simplify Restaurant and Retail operations with our efficient self-checkout solution, recognizing meals and groceries and elevating customer satisfaction. Custom AI Development services available for tailored solutions. Discover more at www.byteLAKE.com.
SDVIs and In-Situ Visualization on TACC's StampedeIntel® Software
Speaker: Paul Navrátil, Texas Advanced Computing Center (TACC)
The design emphasis for supercomputing systems has moved from raw performance to performance-per-watt, and as a result, supercomputing architectures are converging on processors with wide vector units and many processing cores per chip. Such processors are capable of performant image rendering purely in software. This improved capability is fortuitous, since the prevailing homogeneous system designs lack dedicated, hardware-accelerated rendering subsystems for use in data visualization. Reliance on this “software-defined” rendering capability will grow in importance since, due to growing data sizes, visualizations must be performed on the same machine where the data is produced. Further, as data sizes outgrow disk I/O capacity, visualization will be increasingly incorporated into the simulation code itself (in situ visualization).
This talk presents recent work in high-fidelity visualization using the OSPRay ray tracing framework on TACC’s local and remote visualization systems. We present work using OSPRay within ParaView Catalyst in situ framework from Kitware, including capitalizing on opportunities to reduce data costs migrating through VTK filters for visualization. We highlight the performance opportunities and advantages of Intel® Advanced Vector Extensions 512, the memory system improvements possible with Intel® Xeon Phi™ processor multi-channel DRAM (MCDRAM) and the Intel® Omni-Path Architecture interconnect.
In this deck from the HPC User Forum at Argonne, Andrew Siegel from Argonne presents: ECP Application Development.
"The Exascale Computing Project is accelerating delivery of a capable exascale computing ecosystem for breakthroughs in scientific discovery, energy assurance, economic competitiveness, and national security. ECP is chartered with accelerating delivery of a capable exascale computing ecosystem to provide breakthrough modeling and simulation solutions to address the most critical challenges in scientific discovery, energy assurance, economic competitiveness, and national security. This role goes far beyond the limited scope of a physical computing system. ECP’s work encompasses the development of an entire exascale ecosystem: applications, system software, hardware technologies and architectures, along with critical workforce development."
Watch the video: https://wp.me/p3RLHQ-kSL
Learn more: https://www.exascaleproject.org
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
"Building and running the cloud GPU vacuum cleaner"Frank Wuerthwein
This talk, describing the "Largest Cloud Simulation in History" (Jensen Huang at SC19), was given at the MAGIC meeting on Dec. 4th 2019. MAGIC stands for "Middleware and Grid Interagency Cooperation", and is a group within NITRD. Current federal agencies that are members of MAGIC include DOC, DOD, DOE, HHS, NASA, and NSF.
Short-term forecasting is usually classified into two groups: the first approach uses physical model in order to compute the downscaling, whereas the second group relies on statistical learning. We propose a new strategy based on both approaches: a micro-scale CFD model coupled with an artificial neural network correction. Selection of the optimal neural network is achieved through a genetic algorithm. This solution is tested on a real case, which leads to a relative RMSE improvement of 17%.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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
5. Using AI for simulations – How?
AI for simulations
• AI has already disrupted the way we think of computation in other domains and mapping to AI unleashes parallelism
• Doing once vs repetitive – learn once and infer over and over
*HPC+AI ってよく聞くけど結局なんなの, 山崎,
GTC2022 テクニカルフォローアップセミナー
6. NVIDIA Modulus
Platform for developing Physics ML surrogate model
• A training and inference pipeline - using
Physics (governing equations) and Data
(simulation/observations)
• Customizable and scalable platform
• Higher level of abstraction for domain
experts
• Build generalized AI surrogates for
parameterized domain
• Near real-time high-fidelity simulation
Modulus EULA – It’s free.
7. Developing digital twins for weather, climate, and energy [S41823]
12
Physics-ML categorization
Physics
Data
Fully data
driven
Inductive
bias
Physics
constrained
Fully physics
driven
12. NVIDIA'S Earth -2: Digital Twins For Weather and Climate [A41326]
Earth-2 Began by Exploring
Data-Driven Weather Prediction
Scope Global, Medium Range
Model Type Full-Model AI Surrogate
Architecture AFNO (Adaptive Fourier Neural Op.)
Resolution: 25km
Training Data: ERA5 Reanalysis
Initial Condition GFS / UFS
Inference Time 0.25 sec (2-week forecast)
Speedup vs NWP O(104-105)
Power Savings O(104)
FourCastNet
13. NVIDIA'S Earth -2: Digital Twins For Weather and Climate [A41326]
Deuben & Bauer (2018), 6 , 60x30, 1.8K pixels, MLP
WeatherBench, Rasp et al. (2020). 5.625 , 64x32, 2K pixels, CNN
Weyn et al. (2019), 2.5 N.H only, 72x36, 2.6k pixels, ConvLSTM
DLWP, Weyn et al. (2020). 2 , 16K pixels, Deep CNN on Cubesphere/(2021) ResNet
FourCastNet, Pathak et al. (2022), 0.25 , ~1,000,000 Pixels, ViT+AFNO
GNN, Keisler et al. (2022), 1 , 64,000 Pixels, Graph Neural Networks
FourCastNet: A new data-driven weather predictor of unprecedented resolution
14. NVIDIA'S Earth -2: Digital Twins For Weather and Climate [A41326]
We train FCN on ambitious amounts of data on large machines
Thanks to full-stack AI + HPC expertise we train on a growing amount of the world's petabytes of past weather data.
Time to solution decreased from 24+ hours to 67 minutes with model and data parallelism
FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators, Kurth et al. (2022), https://arxiv.org/abs/2208.05419
15. NVIDIA'S Earth -2: Digital Twins For Weather and Climate [A41326]
FCN skill improving with training ambition.
Could it one day outperform deterministic models? We don't yet know the limit.
Skill gap reduced by more than half
w.r.t IFS gold standard
Skill gap reduced by more than half
w.r.t IFS gold standard
Acronym Alert:
ACC: Anomaly Correlation Coefficient (metric of weather skill)
IFS: The Integrated Forecast System, a gold standard weather model
FCN: FourCastNet, our digital twin of weather.
16. Open-Source FourCastNet
Join us in pushing the frontiers of data-driven numerical weather prediction
https://github.com/NVlabs/FourCastNet
17. FourCastNet implementation using Modulus
Included in Modulus examples
https://docs.nvidia.com/deeplearning/modulus/user_guide/neural_operators/fourcastnet.html
18. WIND TURBINE WAKE OPTIMIZATION —
SIEMENS GAMESA
Use Case
§ Developing optimal engineering wake models to optimize wind
farm layouts
§ Simulating the effect that a turbine might have on another when
placed in close proximity
Challenges
§ Generating high-fidelity simulation data from Reynolds-averaged
Navier-Stokes (RANS) or Large Eddy Simulations (LES) can take
over a month to run, even on a 100-CPU cluster.
Solution
§ NVIDIA Omniverse and Modulus enable accurate, high-fidelity
simulations of the wake of the turbines, using low-resolution
simulations as inputs and applying super resolution using AI.
NVIDIA Solution Stack
§ Hardware: NVIDIA A100, A40, RTX 8000 GPUs
§ Software: NVIDIA Omniverse, NVIDIA Modulus
Outcome
§ Approximately 4,000X speedup for high-fidelity simulation
§ Optimizing wind farm layouts in real-time increases overall
production while reducing loads and operating costs.
Demo
19. WIND TURBINE WAKE OPTIMIZATION — SIEMENS GAMESA
Super resolution using AI
https://www.youtube.com/watch?v=mQuvYQmdbtw
20. Super Resolution Net and pix2pixHD Net are now available in Modulus
Included in Modulus examples
https://docs.nvidia.com/deeplearning/modulus/user_guide/intermediate/turbulence_super_resolution.html
23. Learn how to use NVIDIA Modulus
https://github.com/openhackathons-org/gpubootcamp/blob/master/hpc_ai/PINN/English/python/Start_Here.ipynb
24. User Guide (ex. Defining custom PDEs)
NVIDIA Modulus User Guide
https://docs.nvidia.com/deeplearning/modulus/user_guide/foundational/1d_wave_equation.html#writing-custom-pdes-and-boundary-initial-conditions
25. Ask questions at NVIDIA Modulus technical forum
https://forums.developer.nvidia.com/c/physics-simulation/modulus-physics-ml-model-framework/technical-support/453
26. Contribute to NVIDIA Modulus on GitLab!
*Need to submit GitLab repository access request from https://developer.nvidia.com/modulus-downloads
27. Summary
• NVIDIA Modulus is platform for developing Physics-ML surrogate model
• Physics-ML use cases
• FourCastNet
https://arxiv.org/abs/2208.05419, https://github.com/NVlabs/FourCastNet
• Super Resolution
https://blogs.nvidia.com/blog/2022/03/22/siemens-gamesa-wind-farms-digital-twins/
• How to get started
• Download
https://developer.nvidia.com/modulus
• Learn
https://docs.nvidia.com/deeplearning/modulus/index.html
https://github.com/openhackathons-org/gpubootcamp/blob/master/hpc_ai/PINN/English/python/Start_Here.ipynb
• Ask questions
https://forums.developer.nvidia.com/c/physics-simulation/modulus-physics-ml-model-framework/technical-
support/453
• Get involved
https://developer.nvidia.com/modulus-downloads