What do you think about a library that helps reducing the overhead of GPU programming, regarding ndimensional Arrays?

This page summarizes the projects mentioned and recommended in the original post on /r/rust

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
  • tblis

    TBLIS is a library and framework for performing tensor operations, especially tensor contraction, using efficient native algorithms.

  • (***) https://github.com/devinamatthews/tblis

  • rust

    Empowering everyone to build reliable and efficient software.

  • Since dimensions are integers, I gather min_const_generics will be stable in 1.51, so that isn't too far down the line.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • rfcs

    RFCs for changes to Rust

  • Generalization to arbitrary dimension is indeed a problem, now that variadic tuple was closed.

  • autograph

    Machine Learning Library for Rust

  • Maybe you'd be interested in checking out my library, https://github.com/charles-r-earp/autograph?

  • gda_compute

    A GPU/CPU compute library written in rust focusing on computation on ndim Arrays

  • As promissed: Here the link to an early version of the project: https://github.com/nattube/gda_compute

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts