Hpc on Aws for Semiconductors and Healthcare Life Sciences Cmp214

Title

AWS re:Invent 2023 - HPC on AWS for semiconductors and healthcare life sciences (CMP214)

Summary

  • Srinivas Tadepalli from AWS introduced the session on High Performance Computing (HPC) for semiconductors and healthcare life sciences.
  • Mark from Arm discussed Arm's journey on AWS for chip design and EDA workloads.
  • Sean from AstraZeneca shared insights on innovating on AWS for healthcare and life sciences genomic workloads.
  • AWS has been innovating for over 15 years to address the needs of HPC workloads across various industries.
  • AWS provides a broad set of capabilities and choices for running HPC workloads, including a variety of EC2 instances and services like AWS Batch, AWS Parallel Cluster, and Research and Engineering Studio.
  • AWS's ecosystem includes partnerships with independent software vendors and system integrators to support customers' HPC workloads.
  • Arm's journey to the cloud involved a focus on operational leadership, sustainability, and the use of Graviton servers for EDA workloads, leading to significant carbon footprint reduction.
  • AstraZeneca's Center for Genomics Research leverages AWS to process large-scale genomic data, enabling precision medicine and impacting clinical trials.
  • AWS's HPC offerings have been recognized for six consecutive years as the best HPC Cloud platform at the Supercomputing Conference.

Insights

  • The HPC workloads on AWS are diverse, ranging from automotive and aerospace simulations to weather predictions, financial services, and genomic sequencing.
  • AWS's continuous innovation in compute, storage, networking, job orchestration, and visualization caters to the specific needs of HPC workloads.
  • Arm's use of AWS for chip design demonstrates the cloud's scalability and flexibility, which is crucial for managing complex and resource-intensive EDA workloads.
  • AstraZeneca's use of AWS for genomic research highlights the cloud's ability to handle petascale data processing, which is essential for advancing precision medicine.
  • The collaboration between AWS and its partners ensures that the HPC ecosystem is robust and capable of supporting a wide range of industry applications.
  • AWS's recognition at the Supercomputing Conference underscores its leadership and customer trust in the HPC domain.