This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.
Map/Reduce/Filter/Find Vs For loop Vs For each Vs Lodash vs Ramda
⚡️ λ PHP functional library focused on simplicity and performance
Stream api (kind of) implementation for go, other useful functions and packages to use go in a functional way
Symbolic parser for Julia language term rewriting using REDUCE algebra
Ytk-mp4j is a fast, user-friendly, cross-platform, multi-process, multi-thread collective message passing java library which includes gather, scatter, allgather, reduce-scatter, broadcast, reduce, allreduce communications for distributed machine learning.
Go Stream, like Java 8 Stream.
PyTorch implementation of some learning rate schedulers for deep learning researcher.
🌌 Extensions that support the C# functional paradigm.
A layering mechanism for PHP applications
reduce-algebra: a portable general-purpose computer algebra system, automatically mirrored from https://svn.code.sf.net/p/reduce-algebra/code/. Please visit the REDUCE Homepage, https://reduce-algebra.sourceforge.io/, to report any bugs or request assistance.
async/await-ready, chainable Array & Collection utilities
State Management (Redux)
😱 Isomorphic transformations. Map, transform, filter, and morph your objects
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