Simon Peyton Jones: Data Parallel Haskell
5 人推荐 · 跨 5 个月 · 2010–2017
中文导读
Simon Peyton Jones 讲解了嵌套数据并行与 Data Parallel Haskell，探讨如何在保留简单单控制流编程模型的同时，充分发挥多核与分布式硬件的算力潜能。
为什么 HN 推它
被推荐为探索简易并行编程抽象的精彩视角，不过也有评论指出该方案在实际性能上未能显著超越顺序执行的 C 语言。
「一种极具前景的语言抽象，能让复杂的并行计算变得相对简单。」HN 网友原话：a promising language abstraction to do hard things with parallelism relatively easily
英文原摘要（HackerTube / Claude 整理）
Simon Peyton Jones explains nested data parallelism and Data Parallel Haskell, an approach to exploiting multicore and distributed hardware while keeping a simple single-control-flow programming model.
Recommended as a fascinating look at easy parallelism abstractions, though other commenters note the approach never beat sequential C by much.
HN 上的提及
but worth a watch, imho
a promising language abstraction to do hard things with parallelism relatively easily
Source for SPJ Koan
Data Parallel Haskell as a comparison point for language parallelism.
I'd not make a bet against high performance Haskell's eventual success