Aaron Hsu: Difference between revisions

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* [http://dl.acm.org/citation.cfm?id=2935331 The Key to a Data Parallel Compiler]
* [http://dl.acm.org/citation.cfm?id=2935331 The Key to a Data Parallel Compiler]
* [https://scholarworks.iu.edu/dspace/handle/2022/24749 A Data Parallel Compiler Hosted on the GPU] (also available as [https://onedrive.live.com/?authkey=%21AN3eH7D93Q8%2Dxzs&cid=0CFFDB1C3A2F95F6&id=CFFDB1C3A2F95F6%21702303&parId=CFFDB1C3A2F95F6%21184476&o=OneUp PDF that allows searching for and copying text])
* [https://scholarworks.iu.edu/dspace/handle/2022/24749 A Data Parallel Compiler Hosted on the GPU] (also available as [https://onedrive.live.com/?authkey=%21AN3eH7D93Q8%2Dxzs&cid=0CFFDB1C3A2F95F6&id=CFFDB1C3A2F95F6%21702303&parId=CFFDB1C3A2F95F6%21184476&o=OneUp PDF that allows searching for and copying text])
* [https://dl.acm.org/doi/10.1145/3589246.3595371 U-Net CNN in APL: Exploring Zero-Framework, Zero-Library Machine Learning] (With


=== Presentations ===
=== Presentations ===

Revision as of 07:37, 8 June 2023

Aaron Wen-yao Hsu is the implementor of Co-dfns and an advocate for a terse and minimal array programming style. Hsu has a background in academic functional programming, and was primarily a Scheme programmer for ten years before learning APL.[1] He was introduced to APL by Morten Kromberg while working on a GPU-hosted compiler, and switched to Dyalog APL for the project, which is now Co-dfns. Most of Hsu's work on Co-dfns has been as a Ph.D. candidate at Indiana University; he was awarded his Ph.D. in 2019 and continues to develop Co-dfns with funding from Dyalog Ltd.

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