内容简介:Futhark 0.2.0 已发布,与第一个版本相比,该版本没有添加主要的编译器优化特性,相反,该版本专注于各种提升使用体验的改进,具体更新如下: Added Run-time errors due to failed assertions now include a sta...
Futhark 0.2.0 已发布,与第一个版本相比,该版本没有添加主要的编译器优化特性,相反,该版本专注于各种提升使用体验的改进,具体更新如下:
Added
Run-time errors due to failed assertions now include a stack
trace.Generated OpenCL code now picks more sensible group size and count
when running on a CPU.scatterexpressions nested inmaps may now be parallelised
("segmented scatter").Add
num_bits/get_bit/set_bitfunctions to numeric module
types, including a newfloatmodule type.Size annotations may now refer to preceding parameters, e.g:
let f (n: i32) (xs: [n]i32) = ...
futhark-doc: retain parameter names in generated docs.futhark-doc: now takes-v/--verboseoptions.futhark-doc: now generates valid HTML.futhark-doc: now permits files to contain a leading documentation
comment.futhark-py/futhark-pyopencl: Better dynamic type checking in
entry points.Primitive functions (sqrt etc) can now be constant-folded.
Futlib: /futlib/vec2 added.
Removed
The built-in
shapefunction has been removed. Uselengthor
size parameters.
Changed
The
from_i32/from_i64functions of thenumericmodule type
have been replaced with functions namedi32/i64. Similarly
functions have been added for all the other primitive types
(factored into a newfrom_primmodule type).The overloaded type conversion functions (
i32,f32,bool,
etc) have been removed. Four functions have been introduced for
the special cases of converting betweenf32/f64andi32:r32,r64,t32,t64.Modules and variables now inhabit the same name space. As a
consequence, we now usex.yto access fieldyof recordx.Record expression syntax has been simplified. Record
concatenation and update is no longer directly supported.
However, fields can now be implicitly defined:{x,y}now creates
a record with fieldxandy, with values taken from the
variablesxandyin scope.
Fixed
The
!=operator now works properly on arrays (#426).Allocations were sometimes hoisted incorrectly (#419).
f32.eis no longer pi.Various other fixes.
Futhark 是一个小型全新的函数式编程语言,可编译为高性能的 GPU 代码。使用静态类型、并行数据以及纯函数数组语言。该语言对编译器提前进行重度的优化,通过 OpenCL 生成 GPU 代码。Futhark 并非为图形编程而设计,通过使用 GPU 来加速并行的数组计算,支持常规嵌套的数据并行化处理。
Futhark 使用 Haskell 语言开发。
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