AWS recently announced a distributed map for Step Functions, a solution for large-scale parallel data processing. Optimized for S3, the new feature of the AWS orchestration service targets interactive ...

Design a message-passing distributed memory parallel program for a given parallel algorithm using the portable Message-Passing Interface (MPI), measure real speedups, identify bottlenecks, and devise ...

This makes it possible to implement certain training methods for ML models such as Distributed Data Parallel (DDP), in which only one model replica is executed per high-speed accelerator area and ...

This was a high-stakes implementation of advanced data pipelines designed with zero tolerance for data inconsistency or ...

Register here. Members of the Argonne National Laboratory ALCF AI/ML team will cover examples of using PyTorch and TensorFlow on Aurora, followed by distributed training at scale using PyTorch with ...

The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...