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A compiled implementation of APL
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A guide to APL programming techniques
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A tool for scaling APL
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Use case #1: GPUs
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Use case #2: Scalar Hot Spots
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Use case #3: Static Analysis
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Use case #4: Integration
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Traditional APL
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Traditional APL: Features
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Traditional APL: Parse vs. Exec
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Parser-only supported features
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Trad-fns: Scoping concerns
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Trad-fns: Scoping approach
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Lending a helping hand
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Current efforts
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Progress: Parser
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Progress: Memory overheads
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Benchmarking
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Recommendations/Limits
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Unique features
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a 21-minute conference talk from Dyalog '24 where Aaron Hsu presents recent developments and future plans for the Co-dfns compiler, focusing on improved integration with traditional APL code. Learn about the compiler's current performance capabilities, implementation features, and practical use cases including GPU utilization, scalar operations optimization, static analysis, and system integration. Discover insights into traditional APL programming techniques, parsing mechanisms, scoping considerations, and memory management improvements. Gain valuable recommendations for compiler usage, understand its current limitations, and explore unique APL programming possibilities enabled by Co-dfns. Access accompanying presentation materials in both PPTX and PDF formats for detailed reference of concepts covered in this comprehensive technical discussion.

Co-dfns Compiler Roadmap and Updates - Implementation and Integration Features

Dyalog User Meetings
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