Do you need to compress your software development cycles for services deployed at scale and accelerate your data-driven insights? Are you delivering solutions that automate decision making & model complexity using analytics and machine learning on Spark? Find out how a pre-integrated analytics platform that’s tuned for memory-intensive workloads and powered by the industry leading interconnect will empower your data science and software development teams to deliver amazing results for your business. Learn how Cray’s supercomputing approach in an enterprise package can help you excel at scale.
Talk by Anthony DiBiase
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Compress Software Development Cycles with supercomputer-based Spark
1. 2017 Spark Summit East
Tony DiBiase | adibiase@cray.com | 781 956 7853
2. Why Cray?
• 40+ years of experience solving the toughest problems
• Innovation by strong investment in R&D
• Adaptive Supercomputing: right HPC for you
• Systems & customer service built for ROI
• Confluence of Scalable Supercomputing and Data
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Compliance Engine
Bank Ecosystem
Subscription
Server
Customer
Regulations
Model
Bank API
Bulk
Processing
Engine Bank’s operations
team
Application flow
Bank Model
FinTech Case Studies
• Lightbend: Akka VMs versus GCP
• Banking Compliance: Graph
7. Broad Institute Case Study
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3X+
Productivity gains for iterative, big data
software development teams: Hail, GATK4,
CGA, Proteomics & others
4X+
Growth in scale of data analytics on
genomics projects: 1K WGS, ExAC, gnomAD,
& several other region-specific datasets
8. Broad Inst. Case Study: Amazing Broad Users
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"Using Cray's Urika-GX, we were able to scale our GATK genomics pipeline
beyond what has ever been possible before - from many hours to 2.5 minutes.
This is huge for our ability to deliver results at very short, clinically relevant
timescales.”
"It was a huge task -- the CGA production team at the Broad said that it would
take 3 solid months to make the callset with their on-premises pipeline, and it is
looking like Cray will help us cut that production time by at least two thirds.”
“The Cray was phenomenally useful in using Hail to put this dataset [ExAC 2.0]
together extremely rapidly in advance of the public launch.”
9. Broad Inst. Case Study: Benefits
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• Total Cost of Ownership (TCO)
• Faster Time to Insight
• Optimize Software Development Resources
• Leading-edge Collaborations