Futhark is a purely functional programming language designed for high-performance data-parallel computing.
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Futhark is a purely functional programming language designed for high-performance data-parallel computing.
While it shares some similarities in syntax and structure with functional languages like Haskell and Standard ML, its focus lies elsewhere.
Rather than emphasizing rich type systems or maximum expressiveness, Futhark aims to generate efficient parallel code.
Central to Futhark are bulk array operations known as Second-Order Array Combinators (SOACs), such as map, reduce, and filter, which resemble the higher-order functions familiar from other functional languages.
These SOACs are defined with sequential semantics but are designed to be compiled into parallel execution, allowing for both clarity and performance.
Fast
Futhark is designed for high-performance computing via its heavily optimising AOT compiler.
Parallel
Most Futhark code is automatically parallelized, taking advantage of modern multi-core CPUs.
Multi-platform
Futhark code compiles to either GPU code or multi-threaded CPU code.
Interoperable
Futhark is designed for easy interoperability with languages like C and Python.
Small
Futhark is a small language with little syntax, making it easy to learn.
Pure
Futhark is a pure functional language without side-effects, making it easier to reason about code.
Fast
Futhark is designed for high-performance computing via its heavily optimising AOT compiler.
Parallel
Most Futhark code is automatically parallelized, taking advantage of modern multi-core CPUs.
Multi-platform
Futhark code compiles to either GPU code or multi-threaded CPU code.
Interoperable
Futhark is designed for easy interoperability with languages like C and Python.
Small
Futhark is a small language with little syntax, making it easy to learn.
Pure
Futhark is a pure functional language without side-effects, making it easier to reason about code.