Distributed training is essential due to the increasing demand for processing larger data sets. Data parallelism involves splitting datasets across multiple GPUs to enhance training speed. Model ...

# ./run_megatron_mimo_parallelism_tests.sh --gpus 4 # Run all configs with 4 GPUs # ./run_megatron_mimo_parallelism_tests.sh --config tp2_both # Run only tp2_both config ...

# ./run_hetero_llava_parallelism_tests.sh --gpus 4 # Run all configs with 4 GPUs # ./run_hetero_llava_parallelism_tests.sh --config tp2_dp2 # Run only tp2_dp2 config # ...

Concurrency and parallelism are two techniques for managing multiple tasks in a program, but they operate differently. Understanding the distinction between them in Python helps developers write ...