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Futhark explores efficient graph colouring without GPU execution
A sparse-Jacobian computation needs graph colouring, but its fast greedy distance-2 algorithm is inherently sequential; the post examines how to keep this work off the GPU. It illustrates trade-offs in parallel data-processing workloads.
- What
- Futhark's graph-colouring work combines sequential distance-2 colouring with massively parallel Jacobian computation.
- How
- The greedy colouring algorithm runs well on the sequential C backend but performs poorly on the GPU backend, where CPU code can trigger costly GPU-memory reads.
- Why it matters
- The example shows why engineers must account for memory placement and transfer overhead when mixing sequential and parallel workloads.
Read on futhark-lang.org → Lobsters
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