The Distributed Tensor Algebra Compiler (2022)

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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

    A list of awesome compiler projects and papers for tensor computation and deep learning.

  • * collection of papers in https://github.com/merrymercy/awesome-tensor-compilers

    I also have an interest in the community more widely associated with pandas/dataframes-like languages (e.g. modin/dask/ray/polars/ibis) with substrait/calcite/arrow their choice of IR

  • modin

    Modin: Scale your Pandas workflows by changing a single line of code

  • 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
  • Dask

    Parallel computing with task scheduling

  • taco

    The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

  • I agree! Much of this work was done as part of the overarching TACO project (https://github.com/tensor-compiler/taco), in an attempt to distribute sparse tensor computations (https://rohany.github.io/publications/sc2022-spdistal.pdf). MLIR recently (~mid 2022) began implementing the ideas from TACO into a "sparse tensor" dialect, so perhaps some of these ideas could make it into there. I'm working with MLIR these days, and if I could re-do the project now I would probably utilize and targetb the MLIR linalg infrastructure!

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