SCIENTIFIC COMPUTING
Massive data sets at interactive speed
Common Client Challenges 
  • Supporting legacy code is always challenging, particularly when introducing new features or products.
  • Getting PhD-written code to run faster and be maintainable can be frustrating. Making sure your code is scalable is a key component to high-performance computing.
  • Domain-expert users like researchers and scientists can be risk-averse when it comes to adopting new technology. If they believe their spreadsheets or algorithms are better, then your product is toast. Identify lead users early on for successful adoption.
  • Measuring direct impact of your HPC product in a larger scientific or business process can be difficult. Consider unique outcomes or "fingerprints" your technology generates that could tie it to P&L.
"We have very complex data. Expero helped revamp our data visualizations--standardizing the schemes and artifacts and scaled out several new analysis algorithms with quality execution. Expero took a prototype and helped develop it as an addition to our service offering that produces consistent results."
Chris White, Ph.D., Chief Science Officer, Flippen Group
CASE STUDY
A distributed high-performance compute and rendering system in a browser.
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