Reversim Summit 2016 - Ja-WAT
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Java prides itself in not allowing you to shoot yourself in the foot, but doesn't always live up to the hype. Recent editions have introduced powerful new syntactic tools which make development much easier, but can often result in "WAT" moments. This lightening talk (given in Reversim Summit 2016), inspired by Gary Bernhardt's famous WAT talk will showcase some of the cases where Java has left me scratching my head and asking "WAT?".
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This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
The Microsoft 365 Migration Tutorial For Beginner.pptx
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Astute Business Solutions | Oracle Cloud Partner |
Your goto partner for Oracle Cloud, PeopleSoft, E-Business Suite, and Ellucian Banner. We are a firm specialized in managed services and consulting.
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Reversim Summit 2016 - Ja-WAT
- 1. Ja-WAT?! Reversim Summit 2016 Allon Mureinik Associate Manager, RHV Storage R&D https://www.linkedin.com/in/mureinik 20/09/2016
- 2. 2 Remember WAT? Great talk by Gary Bernhardt about how broken some languages are https://www.destroyallsoftware.com/talks/wat
- 3. 3 Remember WAT? But we don’t have such problems in Java. Or do we?
- 4. 4 We can put strings in lists
- 5. 5 … and run it $ java FunWithLists_Strings [Reversim, Summit, 2016] $ java FunWithLists_Strings [Reversim, Summit, 2016]
- 6. 6 We can remove strings from lists
- 7. 7 … and run it $ java FunWithLists_Strings [Reversim, 2016] $ java FunWithLists_Strings [Reversim, 2016]
- 8. 8 We can put chars in lists
- 9. 9 … and run it $ java FunWithLists_Chars [R, S, 2] $ java FunWithLists_Chars [R, S, 2]
- 10. 10 We can remove chars from lists
- 11. 11 … and run it $ java FunWithLists_Chars Exception in thread "main" java.lang.IndexOutOfBoundsException: Index: 83, Size: 3 at java.util.ArrayList.rangeCheck(ArrayList.java:653) at java.util.ArrayList.remove(ArrayList.java:492) at FunWithLists_Chars.main(FunWithLists_Chars.java:11) $ java FunWithLists_Chars Exception in thread "main" java.lang.IndexOutOfBoundsException: Index: 83, Size: 3 at java.util.ArrayList.rangeCheck(ArrayList.java:653) at java.util.ArrayList.remove(ArrayList.java:492) at FunWithLists_Chars.main(FunWithLists_Chars.java:11)
- 12. 12 WAT
- 13. 13 We can concat strings
- 14. 14 … and run it $ java FunWithString Reversim16 $ java FunWithString Reversim16
- 15. 15 We can concat strings with chars
- 16. 16 … and run it $ java FunWithString Reversim16 $ java FunWithString Reversim16
- 17. 17 We can concat chars with strings
- 18. 18 … and run it $ java FunWithString 103Reversim $ java FunWithString 103Reversim
- 19. 19 WAT