A language for hierarchical data parallel design-space exploration on GPUs

DOI10.1017/S0956796816000046zbMath1420.68046OpenAlexW2299915687MaRDI QIDQ5371962

Bo Joel Svensson, Mary Sheeran, Ryan R. Newton

Publication date: 23 October 2017

Published in: Journal of Functional Programming (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1017/s0956796816000046

Mathematics Subject Classification ID

Other programming paradigms (object-oriented, sequential, concurrent, automatic, etc.) (68N19) Theory of programming languages (68N15) Functional programming and lambda calculus (68N18)

Uses Software

• CUDA
• Haskell
• Thrust
• Nikola
• Loo.py
• Feldspar
• Lava
• Copperhead
• Accelerate

Cites Work

• Implementation and application of functional languages. 23rd international symposium, IFL 2011, Lawrence, KS, USA, October 3--5, 2011. Revised selected papers
• Compiling embedded languages
• Nested data-parallelism on the gpu
• Regular, shape-polymorphic, parallel arrays in Haskell
• Optimising purely functional GPU programs
• The constrained-monad problem
• Simple and compositional reification of monadic embedded languages
• Unnamed Item

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