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Closed Iryna Okhrin requested to merge okhrin--tu-dresden.de/hpc-compendium:okhrin--tu-dresden.de-dev-experiments-patch-34483 into dev-experiments
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@@ -99,9 +99,6 @@ Dask is composed of two parts:
@@ -99,9 +99,6 @@ Dask is composed of two parts:
- Dynamic task scheduling optimized for computation and interactive
- Dynamic task scheduling optimized for computation and interactive
computational workloads.
computational workloads.
- Big Data collections like parallel arrays, data frames, and lists
that extend common interfaces like NumPy, Pandas, or Python
iterators to larger-than-memory or distributed environments. These
- Big Data collections like parallel arrays, data frames, and lists that extend common interfaces
- Big Data collections like parallel arrays, data frames, and lists that extend common interfaces
like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments.
like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments.
These parallel collections run on top of dynamic task schedulers.
These parallel collections run on top of dynamic task schedulers.
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