monolish VS Scalix

Compare monolish vs Scalix and see what are their differences.

Scalix

Scalix is a data parallel compute library that automatically scales to the available compute resources. (by NAGAGroup)
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monolish Scalix
1 1
189 7
0.0% -
7.8 7.0
6 months ago 4 days ago
C++ Cuda
Apache License 2.0 BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

monolish

Posts with mentions or reviews of monolish. We have used some of these posts to build our list of alternatives and similar projects.

Scalix

Posts with mentions or reviews of Scalix. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing monolish and Scalix you can also consider the following projects:

oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces

TorchPQ - Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda

fms_blas - Lightweight BLAS (and some LAPACK) wrapper.

cub - [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl

BitLib - Provides a bit-vector, an optimized replacement of the infamous std::vector<:b:ool>. In addition to the bit-vector, the library also provides implementations of STL algorithms tailored for bit-vectors.

MegBA - MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment

stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU

cugraph - cuGraph - RAPIDS Graph Analytics Library

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

ArrayFire - ArrayFire: a general purpose GPU library.

matrix-sized - Generic matrix with statically known size and bindings to C++ linear algebra libraries (Eigen, Spectra).

instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more