aws-graviton-getting-started
solvespace
aws-graviton-getting-started | solvespace | |
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62 | 69 | |
819 | 3,025 | |
1.7% | 1.4% | |
8.5 | 7.2 | |
8 days ago | 24 days ago | |
Python | C++ | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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aws-graviton-getting-started
- AWS Graviton Technical Guide
- Cómo comenzar a trabajar con AWS Graviton: La pregunta del Millón
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What infra did you deploy for Iceberg/Hudi/Delta?
EMR serverless + Athena + Glue works for us. We are evaluating Graviton instance to further optimize stuff. AWS link if you are interested
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Slash CAPEX, OPEX, and Carbon Emissions with T408
Now we turn our attention to carbon emissions which are presented in Table 8. In the table, the AMD – CPU only and AMD – T408 server watts/hour are actual measurements on the test system during operation. To estimate the AWS server watts/hour, we reduced the CPU-only AMD number by 60%, which is the savings that Amazon claims that Graviton3 CPUs provide over other CPUs. In all three cases, we multiplied this by the number of servers, then hours, days, and years, to compute the three-year power consumption total.
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Framework ARM
https://aws.amazon.com/ec2/graviton/ https://cloud.google.com/compute/docs/instances/arm-on-compute
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Google Has Developed Its Own Data Center Server Chips
From the relevant product page [0]:
"AWS Graviton3 processors feature always-on memory encryption, dedicated caches for every vCPU, and support for pointer authentication."
Further reading on pointer authentication [1].
[0] https://aws.amazon.com/ec2/graviton/
[1] https://www.qualcomm.com/content/dam/qcomm-martech/dm-assets...
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can i repurpose a server and make it a computer
Amazon makes their own Arm CPUs, like the Graviton3: https://aws.amazon.com/ec2/graviton/
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Cost Cutting AWS strategies
Read More about Graviton Processors
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Blackberry Partnership Panning Out!
According to BlackBerry, both QNX and IVY can run on EC2 instances powered by AWS’ Graviton2 processor. Graviton2 is an internally-developed processor that AWS debuted at re:Invent last year. It promises to provide up to 40% better price performance than comparable chips. "
- AWS Graviton
solvespace
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Ask HN: What rabbit hole(s) did you dive into recently?
Can second this!
However, I would recommend https://solvespace.com! It hits a sweet spot between features vs complexity/learning effort.
- My favorite code comment/rant
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Why large companies and fast-moving startups are banning merge commits
We use rebase on solvespace, along with sensible squashing so most commits along master are pretty self contained. You can see the clean history here:
https://github.com/solvespace/solvespace/commits/master/
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A one line code change inside iOS made me waste 5 minutes
I changed a behavior to the "more standard" one because it felt obviously right. This was a 3 line change. But the was enough backlash right there in the pull request. So I spent a couple hours remembering how to add a configuration option to keep the old way for those guys:
https://github.com/solvespace/solvespace/pull/1425
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RattleCAD
> If you like Linkage, you might also like Solvespace.
No, I mean Brent Curry's Linkage[1] bicycle design software, not David Rector's Linkage Mechanism Designer and Simulator[2].
You should read Wikipedia article.[0]
N.B. About SolveSpace, as I'm its experienced user[youtube,patreon], I may say next: yes, it could be used for bike mockup, as any other CAD, but it still has a lot of limitations and even does not export correct STEP files yet[3], and in FreeCAD such STEP could fixed only partially.[video]
So, for serious 3D CAD work I highly recommend use FreeCAD (and LibreCAD for 2D CAD work) instead of SolveSpace, and use SolveSpace only as a helper tool like a calc or as a notepad for noting ideas.
About Linkage Mechanism Designer and Simulator, it is only useful for planar (2D) kinematics analyze, and if You are looking an alternative for it take a look on Pyslvs[4], that is in part based on SolveSpace's solver.
[0] https://en.wikipedia.org/wiki/rattleCAD#History
[1] https://bikechecker.com/
[2] https://blog.rectorsquid.com/linkage-mechanism-designer-and-...
[3] https://github.com/solvespace/solvespace/issues/206
[4] https://github.com/KmolYuan/Pyslvs-UI
[video] https://www.youtube.com/watch?v=F3LJMeqUDrU
[youtube] https://www.youtube.com/@appsoft
[patreon] https://patreon.com/app4soft
- SolveSpace has been ported to Qt
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Ask HN: What are some of the most elegant codebases in your favorite language?
C++ this file covers all the math for working with NURBS curves and surfaces:
https://github.com/solvespace/solvespace/blob/master/src/srf...
There is a lot more in other files - triangulation, booleans, creation - but the core math functions are there in very readable form.
- My favorite rant in a code comment (on OpenGL compatibility)
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The Great CPU Stagnation
>> Maybe somebody has statistical survey of how much of the existing deployed CPU core count is typically used?
My guess is very few cores are used on average. I did some testing with Solvespace to see which build options contributed most to performance:
https://github.com/solvespace/solvespace/issues/972
Obviously using OpenMP for multi-core was the big win. But what's not shown is that in typical usage (not the test I ran) if you're dragging some geometry around it will use all cores (in my case 4 cores / 8 threads) at about 50 percent utilization. That percentage probably drops as more cores are thrown at it due to Amdahl's Law. In other words, throwing double the cores at it will give a good boost to a lot of code that is already taking less than half the time (wall clock time, not CPU time).
We added OpenMP to a number of functions for significant performance gains. And in fact, any remining single-thread operation that gets the parallel treatment is likely to have a significant impact on overall performance since that is where most of the time is spent now. At this point we're more focused on features and bugs.
Algorithmic improvements are possible and I'd like to do those in the future, but they are much harder to do than sprinkling some #pragmas around critical loops. That will improve the scalability though, where multithreading really did not.
- Free, mac compatible, relatively easy CAD/CAM software?
What are some alternatives?
drupal-pi - Drupal on Docker on a Raspberry Pi. Pi Dramble's little brother.
cadquery - A python parametric CAD scripting framework based on OCCT
KasmVNC - Modern VNC Server and client, web based and secure
Autodesk-Fusion-360-for-Linux - This is a project, where I give you a way to use Autodesk Fusion 360 on Linux!
buildx - Docker CLI plugin for extended build capabilities with BuildKit
blender-cad-tools - a collection of Blender addons to make CAD design with Blender even more enjoyable
examples - TensorFlow examples
FreeCAD_assembly3 - Experimental attempt for the next generation assembly workbench for FreeCAD
sysbench - Scriptable database and system performance benchmark
LibreCAD - LibreCAD is a cross-platform 2D CAD program written in C++17. It can read DXF/DWG files and can write DXF/PDF/SVG files. It supports point/line/circle/ellipse/parabola/spline primitives. The user interface is highly customizable, and has dozens of translations.
examples - A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
DesignSpark-Mechanical-for-Linux