Chapel Language Blog

Welcome to the Chapel language blog! Chapel is a productive language for parallel computing at scale. To learn more, see the welcome article.

Latest posts

• Experimenting with the Model Context Protocol and Chapel

  Posted on August 28, 2025

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  A report on developing MCP-based integrations for the Chapel programming language

• 10 Myths About Scalable Parallel Programming Languages (Redux), Part 5: Productivity and Magic Compilers

  Posted on August 20, 2025

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  The fifth archival post from the 2012 IEEE TCSC blog series with a current reflection on it

• 7 Questions for Tiago Carneiro and Guillaume Helbecque: Combinatorial Optimization in Chapel

  Posted on July 30, 2025

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  An interview with the two principal developers of ChOp, the Chapel-based Optimization Project

• 10 Myths About Scalable Parallel Programming Languages (Redux), Part 4: Syntax Matters

  Posted on July 23, 2025

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  The fourth archival post from the 2012 IEEE TCSC blog series with a current reflection on it

• 10 Myths About Scalable Parallel Programming Languages (Redux), Part 3: New Languages vs. Language Extensions

  Posted on June 25, 2025

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  A third archival post from the 2012 IEEE TCSC blog series with a current reflection on it

• Announcing Chapel 2.5!

  Posted on June 12, 2025

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  Highlights from the June 2025 release of Chapel 2.5

• 10 Myths About Scalable Parallel Programming Languages (Redux), Part 2: Past Failures and Future Attempts

  Posted on May 28, 2025

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  Another archival post from the IEEE TCSC blog in 2012 with a current reflection on it

• 10 Myths About Scalable Parallel Programming Languages (Redux), Part 1: Productivity and Performance

  Posted on April 30, 2025

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  An archival post from the IEEE TCSC blog in 2012 with a current reflection on it

• Chapel/Fortran Interop in an Ocean Model: Introduction

  Posted on April 24, 2025

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  An introduction to interoperating between Chapel and Fortran

• Memory Safety in Chapel

  Posted on April 10, 2025

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  A description of how Chapel’s features for memory safety strike a balance between productivity and performance, with comparisons to other languages