HemeLB weighted decomposition EASC 2014 slides
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Obtaining a good load balance is a significant challenge in scaling up lattice-Boltzmann simulations of realistic sparse problems to the exascale. Here we analyze the effect of weighted decomposition on the performance of the HemeLB lattice-Boltzmann simulation environment, when applied to sparse domains. Prior to domain decomposition, we assign wall and in/outlet sites with increased weights which reflect their increased computational cost. We combine our weighted decomposition with a second optimization, which is to sort the lattice sites according to a space filling curve. We tested these strategies on a sparse bifurcation and very sparse aneurysm geometry, and find that using weights reduces calculation load imbalance by up to 85%, although the overall communication overhead is higher than some of our runs.
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These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Oracle Database 19c New Features for DBAs and Developers.pptx
Oracle Database 19c New Features for DBAs and Developers. This video you can watch from my youtube channel at https://youtu.be/m-F-mZA3MkU
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Webinar On-Demand: Using Flutter for Embedded
Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
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https://sumonreview.com/ai-fusion-buddy-review
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✅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!
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✅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!
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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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Transform Your Communication with Cloud-Based IVR Solutions
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
Measures in SQL (SIGMOD 2024, Santiago, Chile)
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
Hand Rolled Applicative User Validation Code Kata
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Using Xen Hypervisor for Functional Safety
An update on making Xen hypervisor functionally safe and enhancing its usage in automotive and industrial use cases
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HemeLB weighted decomposition EASC 2014 slides
- 1. Weighted Decomposition Are some lattice sites more equal than others? Derek Groen David Abou Chacra Jiri Jaros Rupert Nash Miguel Bernabeu Peter Coveney
- 2. Overview ● Cerebrovascular bloodflow and HemeLB. ● What type performance matters. ● Weighted decomposition ● Tests & results ● Discussion / Future work
- 3. Cerebrovascular diseases ● Stroke is the main cause of about 1.1M deaths per year in Europe. ● ~15% are caused by bleeding in the brain. ● We aim to accurately model cerebral bloodflow, and to eventually provide assistance with cerebrovascular surgery.
- 4. Features in HemeLB 1. Generation of computational models from medical images. 2. A wide range of collision kernels and boundary conditions. 3. Sparse geometries with negligible overhead (using ParMETIS). 4. Streaming visualization and steering of the simulation. 5. Coupling to external models.
- 10. Domain decomposition current 1. read in blocks 2. pass the geometry to ParMETIS 3. ParMETIS uses k- way partitioning. proposed changes differ the weights on lattice sites, use a space filling curve (z-ordering) prior to partitioning.
- 11. Obtaining weights Site type Weights Intel SandyBridge Weights AMD Bulldozer Bulk 10.0 10.0 Wall 18.708 20.226 In/outlet 40.037 37..398 Wall+ in/outlet (22.700) (34.577) We ran 5 test simulations with cylinders of different aspect ratios to obtain an estimate of the calculation cost of each site type. ParMETIS tends to perform worse when weight values are large.
- 12. 4 4 4 4 4 4 16 16 16 8 8 8 8 8 8 8 8 8 8 8 8 8 8 88 16 16 16
- 13. Test setup 650,492 lattice sites 10% fluid 5,667,778 lattice sites 1.5% fluid D3Q19 BFL boundaries
- 18. Aneurysm geometry HECToR XT6 and ARCHER XC30
- 19. HECToR
- 20. ARCHER
- 21. HECToR
- 22. ARCHER
- 23. HECToR
- 24. ARCHER
- 26. Observations/Future work ● Some lattice sites are more equal than others. ● Getting a load-balanced decomposition is a major challenge.
- 27. Full Paper A full paper will be available in the proceedings of EASC 2014. If you would like a preprint version, please contact me at djgroennl@gmail.com
- 28. Thank you! UKCOMES UK Consortium On Mesoscale Engineering and Science.