Learn CHAPEL with Real Code Examples

Global-view programming model

Task parallelism and data parallelism

Supports distributed memory and multithreading

Modules and domains for structured parallelism

Interoperable with HPC libraries like MPI

Chapel code compiled via chpl compiler

Parallel loops executed as tasks

Arrays and domains distributed per domain maps

Modules imported for reusable code

Interoperability with C and MPI for HPC tasks

Task parallelism

Data parallelism

Global-view distributed memory

Modular programming with namespaces

HPC cluster execution patterns

Scientific simulations in physics and chemistry

Climate and weather modeling

Large-scale numerical analytics

Parallel algorithm research

HPC research and academic projects

Global-view programming model

Parallelism first-class citizen

Portability across HPC systems

High-level productivity with low-level control

Integration with existing HPC tools and libraries

Use task parallelism for multi-core execution

Use domain maps for distributed memory optimization

Modularize large codebases into reusable modules

Profile and optimize memory usage

Benchmark across HPC nodes for performance scaling

Port legacy MPI or OpenMP code to Chapel

Use arrays and domains to replace manual data distribution

Replace low-level threading with tasks and forall loops

Modularize code with Chapel modules

Benchmark and optimize performance on target HPC systems