Comments (3)
wesm
commented on May 21, 2024
1
+1, the more easily reproducible the performance numbers the better (e.g. providing a Dockerfile would be ideal). This way users can validate performance on various hardware configurations
I also recommend for a project like this to do continuous performance testing. We use ASV, a Python library, in pandas to track operation microperformance so that we can catch performance regressions sooner.
from weld.
Lwelch45
commented on May 21, 2024
It would be interesting to see the steps taken for the spark integration.
from weld.
arjenpdevries
commented on May 21, 2024
Duplicate of #351
from weld.
Related Issues (20)
- License file in python sdists
- Weld as a Foundation for ML in Rust
- unable to import grizzly.grizzly HOT 1
- Is there any benchmark between pandas and grizzly?
- Incorrect website grizzly install command HOT 3
- "simplify_assignments" creates infinite loop with iterate
- Getting compile error: Invalid input token: 'name' HOT 3
- Build error while on Fedora HOT 2
- Error "ModuleNotFoundError: No module named 'weldarray'" when using python3. HOT 1
- Is weld still under research/development? HOT 4
- Standardizing Weld's IR code HOT 1
- An active weld community
- An IR which returns a wrong answer.
- Cannot build on aarch64 (Apple Silicon Chips)
- example udfs run error
- Using REPL for weld code using CUDFs
- Running Python UDFs in Weld.
- unique() function on weld-capi.
- movielens_grizzly.py code not working.
- Bump framework versions in Weld probe core
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from weld.