GPUIterator: bridging the gap between Chapel and GPU platforms
Author:
Affiliation:
1. Rice University, USA
2. Georgia Institute of Technology, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3329722.3330142
Reference17 articles.
1. Bradford L. Chamberlain. 2007. Multiresolution Languages for Portable yet Efficient Parallel Programming. https://chapel-lang.org/papers/ DARPA-RFI-Chapel-web.pdf . Bradford L. Chamberlain. 2007. Multiresolution Languages for Portable yet Efficient Parallel Programming. https://chapel-lang.org/papers/ DARPA-RFI-Chapel-web.pdf .
2. Albert Sidelnik et al. 2012. Performance Portability with the Chapel Language (IPDPS ’12). IEEE Computer Society Washington DC USA 582–594. Albert Sidelnik et al. 2012. Performance Portability with the Chapel Language (IPDPS ’12). IEEE Computer Society Washington DC USA 582–594.
3. Bradford L Chamberlain et al. 2011. User-defined parallel zippered iterators in Chapel (PGAS’11). Bradford L Chamberlain et al. 2011. User-defined parallel zippered iterators in Chapel (PGAS’11).
4. Parameterized Diamond Tiling for Stencil Computations with Chapel parallel iterators
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