cl-cuda
rewrite
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cl-cuda | rewrite | |
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5 | 24 | |
270 | 1,819 | |
- | 6.5% | |
0.0 | 9.9 | |
almost 3 years ago | 2 days ago | |
Common Lisp | Java | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cl-cuda
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Why Lisp? (2015)
> You can write a lot of macrology to get around it, but there's a point where you want actual compiler writers to be doing this
this is not the job of compiler writers (although writing macros is akin to writing a compiler but i do not think that this is what you mean). in julia the numerical programming packages are not part of the standard library and a lot of it is wrappers around C++ code especially when the drivers to the underlining hardware are closed-source [0]. also here is the similar library in common lisp [1]
- Fast and Elegant Clojure: Idiomatic Clojure without sacrificing performance
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Hacker News top posts: Aug 14, 2021
A Common Lisp Library to Use Nvidia CUDA\ (0 comments)
- A Common Lisp Library to Use Nvidia CUDA
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Machine Learning in Lisp
Personally, I've been relying on the stream-based method using py4cl/2, mostly because I did not - and perhaps do not - have the knowledge and time to dig into the CFFI based method. The limitation is that this would get you less than 10000 python interactions per second. That is sufficient if you will be running a long running python task - and I have successfully run trivial ML programs using it, but any intensive array processing gets in the way. For this later task, there are a few emerging libraries like numcl and array-operations without SIMD (yet), and numericals using SIMD. For reasons mentioned on the readme, I recently cooked up dense-arrays. This has interchangeable backends and can also use cl-cuda. But barring that, the developer overhead of actually setting up native-CFFI ecosystem is still too high, and I'm back to py4cl/2 for tasks beyond array processing.
rewrite
- FLaNK Weekly 31 December 2023
- OpenRewrite – Automated mass refactoring of source code
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AST-grep(sg) is a CLI tool for code structural search, lint, and rewriting
If you're into this sort of thing, there's OpenRewrite[1] for the Java ecosystem.
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What's New in Spring Framework 6.1
> Spring has gotten so bloated.
I'd call Spring feature-rich than bloated. You can always shed weight that you don't want to carry.
> Plus there's multiple ways of doing the same thing. e.g. JPA, spring-data.
That's because there are different ways to solve a problem. Someone may want an ORM-based approach to connect to the database; they can choose spring-data-jpa. Someone may want to use JDBC with a light abstraction on top of it; they can choose spring-data-jdbc. It's all about choices and right tradeoffs and Spring offers plenty of them.
> they don't provide easy upgrade paths between majors versions
That's not my experience. I've been happily upgrading 2.x.x versions and plan to upgrade to 3.2.x when it is ready. But depending on the codebase, I admit it can be painful. Projects like OpenRewrite[1] might help here.
> and they stop updating vulnerabilities on older major versions.
This is not news. They want you to pay for extended support if you need it.
> No docs on migration.
They do maintain migration docs on GitHub wiki which are a lot more detailed than their blog posts on migration. Here's the latest one to upgrade from Spring Boot 2 to 3: https://github.com/spring-projects/spring-boot/wiki/Spring-B...
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We already have Spring 2.1.3, Is SpringBoot 3 worth learning.
The issue you may run into when migrating from Spring Boot 2.x to 3.x is the JEE namespace renames. Migrating code from 8 to 17 in my experience hasn't been all that difficult. In most projects, there are no changes to make. However, with the namespace change, you'll probably have to do some planning and testing. If you are migrating a lot of projects, check out Open Rewrite, it may help automate a lot of these upgrades (for both 8 to 17 and Spring Boot versions).
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Why wouldn't somebody change their version?
Couldn't OpenRewrite (https://docs.openrewrite.org) do a big part of this manual work?
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Any ideas on how to automate upgrade of legacy Spring Framework/Spring Boot repositories?
Openrewrite would probably be a big help, see https://docs.openrewrite.org
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what is your favorite programming trick/tool that not many People know about?
In a similar vein there is OpenRewrite which is an open-source project that works in a similar way. It also has a lot of great refactorings already built in, like doing all the grunt work for migrating to JUnit 5, or replacing string concatenation in SLF4J log calls with parameterized formatting.
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Refactoring giant codebase
seems a case for https://docs.openrewrite.org/
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What are your thoughts on Spring in 2023?
https://github.com/openrewrite/rewrite might help
What are some alternatives?
numcl - Numpy clone in Common Lisp
JavaParser - Java 1-17 Parser and Abstract Syntax Tree for Java with advanced analysis functionalities.
criterium - Benchmarking library for clojure
gradle-lint-plugin - A pluggable and configurable linter tool for identifying and reporting on patterns of misuse or deprecations in Gradle scripts.
numericals - CFFI enabled SIMD powered simple-math numerical operations on arrays for Common Lisp [still experimental]
grammars-v4 - Grammars written for ANTLR v4; expectation that the grammars are free of actions.
py4cl - Call python from Common Lisp
aws-ip-ranges - Tracking the history and size of AWS's ip-ranges.json file
hash-array-mapped-trie - A hash array mapped trie implementation in c.
spring-cloud-dataflow - A microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes
LoopVectorization.jl - Macro(s) for vectorizing loops.
rbac-police - Evaluate the RBAC permissions of Kubernetes identities through policies written in Rego