In parallel distributed data processing frameworks like Spark and Flink, task scheduling has a great impact on cluster performance. Though task Scheduling has proven to be an NP-complete problem, a ...

With the ever-increasing volume of data, alternative strategies are required to divide big data into statistically consistent data blocks that can be used directly as representative samples of the ...

Summary Currently, torch's FSDP2 (Fully Sharded Data Parallel 2) does not support having multiple different data types (dtypes) for parameters within the same module. This limitation restricts the ...