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Update README.md
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@@ -37,8 +37,9 @@ The notebook presents a series of benchmarks comparing execution times across di
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- Uses `KernelAbstractions.jl` to write code that can run on both CPU and GPU.
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- Offers flexibility with performance close to the `CUDA.jl` implementation.
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Here's the plot showing the benchmark results on a single A100 GPU in Perlmutter using problem of size `10240x10240`
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and number of time steps `2000`:
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Here's the plot showing the benchmark results on a single A100 GPU in Perlmutter using problem of size `10240x10240` and number of time steps `2000`:
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<img src="img/benchmarking.png" alt="Benchmark Results" width="500">
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