Add challenge 79: Connected Components (Medium)#210
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Summary
atomicMin, iterative convergence detection, work distribution across edges, and graph algorithm parallelization on GPUTest plan
.cu,.pytorch.py,.triton.py,.jax.py,.cute.py,.mojo)challenge.htmlhas all 4 sections: problem description, implementation requirements, example, constraintsgenerate_example_test()values exactlygenerate_functional_test()covers 10 cases: self-loop, two-vertex graph, isolated vertices, disjoint pairs, line graph, star graph, grid graph, multi-component chains, random sparse graph, complete K4pre-commit run --all-filespassesrun_challenge.py --action submit: all tests pass on NVIDIA TESLA T4🤖 Generated with Claude Code