1709949905085636812
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@@ -31,6 +31,7 @@ Example of the note shape (single spine, no branches): [[archive/threads/How to
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- [[archive/threads/hsn8086]]
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- [[archive/threads/kenpex]]
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- [[archive/threads/levelsio]]
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- [[archive/threads/m_schuetz]]
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- [[archive/threads/mike_acton]]
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- [[archive/threads/mmalex]]
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- [[archive/threads/nicbarkeragain]]
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---
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title: "@m_schuetz Looks great 👍 is done on gpu ?"
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type: archive
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source: twitter
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source_url: "https://x.com/AtTooMuchNoise/status/1709958009948950574"
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author: "Roman Gorshkov"
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handle: AtTooMuchNoise
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post_id: "1709958009948950574"
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date: 2023-10-05
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archived: 2026-08-26
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draft: false
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tags:
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- archive
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- twitter
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- m_schuetz
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description: "@m_schuetz Looks great 👍 is done on gpu ?"
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in_reply_to: ""
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parent_post_id: "1709949905085636812"
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---
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## Source
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- URL: https://x.com/AtTooMuchNoise/status/1709958009948950574
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- Author: Roman Gorshkov (@AtTooMuchNoise)
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- Posted: 2023-10-05 15:45:33
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## Branch
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**1/** **@AtTooMuchNoise** ^1709958009948950574
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**@m_schuetz**
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Looks great 👍 is done on gpu ?
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**2/** **@m_schuetz** ^1709959058210394390
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**@RomanAtBrief**
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Jup! Everything done in cuda - lod generation and rendering.
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## Related
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- Spine: [[archive/threads/m_schuetz/2023-10-05-happy-to-share-our-new-paper-simlod-simultaneous]]
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+45
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---
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title: "@m_schuetz Incredible throughput for raw octree generation, the fastest of any workflow I've seen and experienced!"
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type: archive
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source: twitter
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source_url: "https://x.com/jo_chemla/status/1710032279550951641"
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author: "Jonathan Chemla"
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handle: jo_chemla
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post_id: "1710032279550951641"
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date: 2023-10-05
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archived: 2026-08-26
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draft: false
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tags:
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- archive
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- twitter
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- m_schuetz
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description: "@m_schuetz Incredible throughput for raw octree generation, the fastest of any workflow I've seen and experienced!"
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in_reply_to: ""
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parent_post_id: "1709949905085636812"
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---
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## Source
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- URL: https://x.com/jo_chemla/status/1710032279550951641
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- Author: Jonathan Chemla (@jo_chemla)
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- Posted: 2023-10-05 20:40:40
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## Branch
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**1/** **@jo_chemla** ^1710032279550951641
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**@m_schuetz**
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Incredible throughput for raw octree generation, the fastest of any workflow I've seen and experienced!
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Glad @iconem datasets can be used for such research use cases!
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**2/** **@m_schuetz** ^1710033968857284971
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**@jo_chemla** **@iconem**
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Thanks for providing that data set, it's beautiful!
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## Related
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- Spine: [[archive/threads/m_schuetz/2023-10-05-happy-to-share-our-new-paper-simlod-simultaneous]]
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+43
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---
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title: "@m_schuetz Linked list of wave+cacheline granularity workloads is an interesting construct, thanks for a good read."
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type: archive
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source: twitter
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source_url: "https://x.com/NOTimothyLottes/status/1738196924023337416"
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author: "NOTimothyLottes"
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handle: NOTimothyLottes
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post_id: "1738196924023337416"
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date: 2023-12-22
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archived: 2026-08-26
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draft: false
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tags:
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- archive
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- twitter
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- m_schuetz
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description: "@m_schuetz Linked list of wave+cacheline granularity workloads is an interesting construct, thanks for a good read."
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in_reply_to: ""
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parent_post_id: "1709949905085636812"
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---
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## Source
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- URL: https://x.com/NOTimothyLottes/status/1738196924023337416
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- Author: NOTimothyLottes (@NOTimothyLottes)
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- Posted: 2023-12-22 13:56:55
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## Branch
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**1/** **@NOTimothyLottes** ^1738196924023337416
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**@m_schuetz**
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Linked list of wave+cacheline granularity workloads is an interesting construct, thanks for a good read.
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**2/** **@m_schuetz** ^1738280710568390761
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**@NOTimothyLottes**
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Thanks, glad you liked it!
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## Related
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- Spine: [[archive/threads/m_schuetz/2023-10-05-happy-to-share-our-new-paper-simlod-simultaneous]]
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+44
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---
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title: "Happy to share our new Paper: \"SimLOD: Simultaneous LOD Generation and Rendering\" "
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type: archive
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source: twitter
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source_url: "https://x.com/m_schuetz/status/1709949905085636812"
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author: "Markus Schütz"
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handle: m_schuetz
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post_id: "1709949905085636812"
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date: 2023-10-05
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archived: 2026-08-26
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draft: false
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tags:
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- archive
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- twitter
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- m_schuetz
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description: "Happy to share our new Paper: \"SimLOD: Simultaneous LOD Generation and Rendering\" "
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in_reply_to: ""
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---
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## Source
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- URL: https://x.com/m_schuetz/status/1709949905085636812
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- Author: Markus Schütz (@m_schuetz)
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- Posted: 2023-10-05 15:13:21
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## Thread
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**1/** **@m_schuetz** ^1709949905085636812
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Happy to share our new Paper: "SimLOD: Simultaneous LOD Generation and Rendering"
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Load point clouds as fast as possible from SSD, create LOD structures on the fly, and watch the results in real-time while loading. :)
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Video: 680M points (11GB) in 1.7s
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https://github.com/m-schuetz/SimLOD
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<video controls src="https://video.twimg.com/tweet_video/F7r2RNMWIAAJrpn.mp4"></video>
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Branches: [[archive/threads/m_schuetz/2023-10-05-happy-to-share-our-new-paper-simlod-simultaneous/2023-10-05-AtTooMuchNoise-looks-great-is-done-on-gpu]], [[archive/threads/m_schuetz/2023-10-05-happy-to-share-our-new-paper-simlod-simultaneous/2023-10-05-jo_chemla-incredible-throughput-for-raw-octree-generation]], [[archive/threads/m_schuetz/2023-10-05-happy-to-share-our-new-paper-simlod-simultaneous/2023-12-22-NOTimothyLottes-linked-list-of-wave-cacheline-granularity]]
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**2/** **@m_schuetz** ^1709950303934591287
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Meroe data set courtesy of Iconem (@jo_chemla)
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@@ -0,0 +1,12 @@
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---
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title: m_schuetz
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type: note
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draft: false
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description: Archived threads by m_schuetz.
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tags:
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- archive
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- twitter
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- m_schuetz
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---
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|
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- [[archive/threads/m_schuetz/2023-10-05-happy-to-share-our-new-paper-simlod-simultaneous]]
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