1709949905085636812

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