58 Stars
Updated Last
11 Months Ago
Started In
August 2021


Documentation Build Status Try It Online!

Finch is a adaptable Julia-to-Julia compiler for loop nests over sparse or structured multidimensional arrays. In addition to supporting sparse arrays, Finch can also handle custom operators and fill values other than zero, runs of repeated values, or even special structures such as clustered nonzeros or triangular patterns.

Finch allows you to write for-loops as if they are dense, but compile them to be sparse! The compiler takes care of applying rules like x * 0 => 0 and the like to avoid redundant computation. Finch also supports if-statements and custom user types and functions. Users can add rewrite rules to inform the compiler about any special user-defined properties or optimizations. You can even modify indexing expressions to express sparse convolution, or to describe windows into structured arrays.

As an example, here's a program which calculates the minimum, maximum, sum, and variance of a sparse vector, reading the vector only once, and only reading nonzero values:

using Finch

X = @fiber(sl(e(0.0)), fsprand((10,), 0.5))
x = Scalar(0.0)
x_min = Scalar(Inf)
x_max = Scalar(-Inf)
x_sum = Scalar(0.0)
x_var = Scalar(0.0)
@finch begin
    for i = _
        x .= 0
        x[] = X[i]
        x_min[] <<min>>= x[]
        x_max[] <<max>>= x[]
        x_sum[] += x[]
        x_var[] += x[] * x[]

Array formats in Finch are described recursively mode by mode. Semantically, an array in Finch can be understood as a tree, where each level in the tree corresponds to a dimension and each edge corresponds to an index. For example, @fiber(d(sl(e(0.0)))) constructs a Float64 CSC-format sparse matrix, and @fiber(sl(sl(e(0.0)))) constructs a DCSC-format hypersparse matrix. As another example, here's a column-major sparse matrix-vector multiply:

x = @fiber(d(e(0.0)), rand(42));
A = @fiber(d(sl(e(0.0))), fsprand((42, 42), 0.1));
y = @fiber(d(e(0.0)));
@finch begin
    y .= 0
    for j=_, i=_
        y[i] += A[i, j] * x[j]

At it's heart, Finch is powered by a new domain specific language for coiteration, breaking structured iterators into control flow units we call Looplets. Looplets are lowered progressively with several stages for rewriting and simplification.

The technologies enabling Finch are described in our manuscript.


At the Julia REPL, install the latest stable version by running:

julia> using Pkg; Pkg.add("Finch")

Used By Packages

No packages found.