
    The article explores the characteristics of high performance computing (HPC) workloads in financial services, providing guidance on choosing cloud-based HPC solutions based on task duration, software requirements, and organizational cloud adoption goals.


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<p>
This article explores high performance computing (HPC) workloads in the financial services industry, focusing on cloud migration strategies and platform selection.
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<ul>
<li>Financial services use HPC for complex calculations like risk analysis, pricing models, and trading simulations</li>
<li>Cloud adoption follows five stages: on-premises, hybrid burst, lift and shift, AWS optimized, and AWS native</li>
<li>Key workload characteristics include task duration, parallelization, resource intensity, and software requirements</li>
<li>Migration options range from maintaining existing schedulers to building cloud-native solutions</li>
<li>Recommended platforms depend on workload duration:
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<li>AWS Batch for tasks over 5 minutes</li>
<li>AWS Lambda for tasks under 15 minutes</li>
<li>HTC-Grid for tasks from seconds to minutes</li>
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The article emphasizes that cloud migration is an evolving journey with multiple optimization stages.
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