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RenderKit
embree
C++2013–2014
RenderKit / embree

embree

Embree ray tracing kernels repository.

2Distinct people
2Mentions
0Explicit recommenders
2.8KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Embree ray tracing kernels repository.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 11:56:56 AM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month2 dated mentions

Observed mentions: 2013-10-06 07:30:40 UTC to 2014-05-13 05:40:18 UTC.

012013-10-01 00:00:00 UTC to 2013-11-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsOct 20132013-11-01 00:00:00 UTC to 2013-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2013-12-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-01-01 00:00:00 UTC to 2014-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJan 20142014-02-01 00:00:00 UTC to 2014-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-03-01 00:00:00 UTC to 2014-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-04-01 00:00:00 UTC to 2014-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-05-01 00:00:00 UTC to 2014-06-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMay 2014

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Oct 20132013-10-01 00:00:00 UTC2013-11-01 00:00:00 UTC101
Nov 20132013-11-01 00:00:00 UTC2013-12-01 00:00:00 UTC000
Dec 20132013-12-01 00:00:00 UTC2014-01-01 00:00:00 UTC000
Jan 20142014-01-01 00:00:00 UTC2014-02-01 00:00:00 UTC000
Feb 20142014-02-01 00:00:00 UTC2014-03-01 00:00:00 UTC000
Mar 20142014-03-01 00:00:00 UTC2014-04-01 00:00:00 UTC000
Apr 20142014-04-01 00:00:00 UTC2014-05-01 00:00:00 UTC000
May 20142014-05-01 00:00:00 UTC2014-06-01 00:00:00 UTC110

What Hacker News says

2 sources
Hi there, speaking of autovectorization, I actually tried it on this last night. After seeing kid0man's post, I decided to try optimizing it and selected that same loop as my target. (When I wrote the original C++ program, I was favoring conciseness and portability over performance, naturally.) I made many of the same transformations as you did: switching the object's data to a structure of arrays, splitting out the computation of the normal from the loop, etc. (even an int hit = -1.) My goal was to coax Intel's compiler into autovectorizing that loop, without directly using vector intrinsics. I succeeded, but the result turned out to be noticeably slower than just compiling kid0man's with -fast. Part of that, I suspect is that it generated suboptimal code for the reduction over the minimum, where a human programmer would have used a
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movemask as you did. That said, I'm fairly curious to experiment with seeing how it would perform with the kernel compiled via ispc [1]. Regarding direct use of SIMD intrinsics in inner loops, I have to agree with you that it's still reasonably common for this type of thing. I've certainly done it before in ray tracing contexts [2], and I've seen many others do it as well, e.g. [3] and [4]. Autovectorization and things like Intel's array notation extension [5] seem to be getting better all the time, but I don't think it's generally as performant yet as direct use of intrinsics. In the cases where it is, it usually seems to have taken a fair amount of coaxing and prodding. [1] http://ispc.github.io/ [2] http://www.cs.utah.edu/~aek/research/triangle.pdf [3] https://github.com/embree/embree [4] http://visual-computing.intel-research.net/publications/pape... [5] http://software.intel.com/en-us/blogs/2010/09/03/simd-parall...
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