Runtime Support for Multicore Haskell (ICFP’09) was awarded the SIGPLAN ten-year most-influential paper award in 2019. In this blog post we reflect on the journey that led to the paper, and what ha…
Graphics and FPL: Porting a Haskell graphics framework to Rust (luminance)
I wanted to write that new article to discuss about something important I’ve been doing for several weeks. It’s actually been a month that ...
Darcs | Proceedings of the 2005 ACM SIGPLAN workshop on Haskell
We at Binghamton intend, at least for ourselves (and I believe Alberta at least expressed this interest) to abstract whatever we have that we feel we would be proud enough to make available to other people in printed form. We would hope by somewhere in ...
Write You a Haskell ( Stephen Diehl )
Co-Creator of Haskell: Functional Programming, Thinking in Types, Useless Languages | Simon Jones
Why Futhark?
A high-performance and high-level purely functional data-parallel array programming language that can execute on the GPU and CPU.
Principal type-schemes for functional programs | Proceedings of the 9th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
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bmillwood/bluesky-tools
Haskell library providing tools for working with the Bluesky social network / the AT protocol
A Modern Architecture for FP
Death to IO monads: FP has better tools that point the way towards the future.
Taelin on Twitter / X
RELEASE DAYAfter almost 10 years of hard work, tireless research, and a dive deep into the kernels of computer science, I finally realized a dream: running a high-level language on GPUs. And I'm giving it to the world!Bend compiles modern programming features, including:-… pic.twitter.com/Q2tcH8Q6nq— Taelin (@VictorTaelin) May 16, 2024
Ivan Fioravanti ᯅ on Twitter / X
"We are releasing Open Source implementations for CoreAILanguageModel and MLXLanguageModel for running a myriad of local models on the Apple Neural Engine or your Mac's GPU" 👀 From #WWDC26: What’s new in the Foundation Models framework video: https://t.co/1NtKWYhNRs pic.twitter.com/HVtBsr3tjL— Ivan Fioravanti ᯅ (@ivanfioravanti) June 9, 2026
Julia vs Numba and Cython: Looking Beyond Microbenchmarks
We compare the performance of Julia and Numba, for a minimal benchmark that enables to see some fundamental difference between Julia and accelerated-Python.
The mythical matched modules | Proceedings of the 24th ACM SIGPLAN conference companion on Object oriented programming systems languages and applications
Certified compilers are complex software systems. Like other large systems, they demand modular, extensible designs. While there has been progress in extensible metatheory mechanization, scaling extensibility and reuse to meet the demands of full ...
How are we doing on third-party Space implementations? @lenooby09.twinkers.online's got one in Haskell so y'all are slacking
