pydatalog
xsimd
pydatalog | xsimd | |
---|---|---|
1 | 3 | |
14 | 2,078 | |
- | 2.0% | |
10.0 | 8.6 | |
over 11 years ago | 8 days ago | |
Python | C++ | |
GNU Lesser General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
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pydatalog
xsimd
-
GDlog: A GPU-Accelerated Deductive Engine
https://github.com/xtensor-stack/xsimd
GH topics > HashMap:
-
SIMD intrinsics and the possibility of a standard library solution
xsimd - 1.6K GH stars
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SPO600 project part 1
I've decided to switch to something better, and after a few hours of searching, I found this repository: NSIMD https://github.com/agenium-scale/nsimd FastDifferentialCoding https://github.com/lemire/FastDifferentialCoding VS https://github.com/VcDevel/Vc XSIMD https://github.com/xtensor-stack/xsimd
What are some alternatives?
treeedb - Generate Soufflé Datalog types, relations, and facts that represent ASTs from a variety of programming languages.
highway - Performance-portable, length-agnostic SIMD with runtime dispatch
virtuoso-opensource - Virtuoso is a high-performance and scalable Multi-Model RDBMS, Data Integration Middleware, Linked Data Deployment, and HTTP Application Server Platform
Vc - SIMD Vector Classes for C++
libsimdpp - Portable header-only C++ low level SIMD library
nsimd - Agenium Scale vectorization library for CPUs and GPUs
FastDifferentialCoding - Fast differential coding functions (using SIMD instructions)
optuna - A hyperparameter optimization framework
VectorizedKernel - Running GPGPU-like kernels on CPU with auto-vectorization for SSE/AVX/AVX512 SIMD Architectures
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
volk - The Vector Optimized Library of Kernels
MandelbrotSSE - Real-time Mandelbrot zoom via SSE, AVX, OpenMP, CUDA, XaoS...