Uses and workloads

Industry	Possible Application	Possible Benefits
Automotive & Aerospace Computer-Aided Engineering	Crash and stamping simulation Computation of complex fluid dynamics Advanced structural analysis Modeling for noise / vibration / harshness analysis Design and development optimization	May help to: Improve time-to-market Accelerate the design cycle Improve quality by allowing more design iterations Lower costs by allowing more digital prototyping
Petroleum	Seismic interpretation Detailed reservoir modeling	May help to: Analyze more prospects in less time Improve accuracy and field success rates Reduce finding costs Improve time-to-first oil
Life Sciences	Drug discovery and development Genomics modeling Proteomics modeling Quantum chemistry Structure-based design analysis Molecular dynamics modeling	May help to: Solve larger/more complex problems Analyze wider, more diverse data sets Accelerate drug research and design Accelerate clinical trials analysis
Electronics	Design verification and simulation Test pattern generation Design rule checking Mask generation Optical proximity correction	May help to: Solve larger and more complex design problems Analyze more design iterations Reduce design cycle time Improve time-to-market
Financial Services	Monte Carlo simulations Portfolio and wealth management Risk management Compliance	May help to: Improve business decisions by providing more accurate and timely information Improve IT infrastructure flexibility Reduce business risk
Digital Media	Image rendering Online game scalability testing	May help to: Improve time-to-market Reduce production costs Encourage artistic experimentation Improve animation quality

Industry

Possible Application

Possible Benefits

Automotive & Aerospace Computer-Aided Engineering

Crash and stamping simulation
Computation of complex fluid dynamics
Advanced structural analysis
Modeling for noise / vibration / harshness analysis
Design and development optimization

May help to:

Improve time-to-market
Accelerate the design cycle
Improve quality by allowing more design iterations
Lower costs by allowing more digital prototyping

Petroleum

Seismic interpretation
Detailed reservoir modeling

May help to:

Analyze more prospects in less time
Improve accuracy and field success rates
Reduce finding costs
Improve time-to-first oil

Life Sciences

Drug discovery and development
Genomics modeling
Proteomics modeling
Quantum chemistry
Structure-based design analysis
Molecular dynamics modeling

May help to:

Solve larger/more complex problems
Analyze wider, more diverse data sets
Accelerate drug research and design
Accelerate clinical trials analysis

Electronics

Design verification and simulation
Test pattern generation
Design rule checking
Mask generation
Optical proximity correction

May help to:

Solve larger and more complex design problems
Analyze more design iterations
Reduce design cycle time
Improve time-to-market

Financial Services

Monte Carlo simulations
Portfolio and wealth management
Risk management
Compliance

May help to:

Improve business decisions by providing more accurate and timely information
Improve IT infrastructure flexibility
Reduce business risk

Digital Media

Image rendering
Online game scalability testing

May help to:

Improve time-to-market
Reduce production costs
Encourage artistic experimentation
Improve animation quality

Other potential uses

Help optimize IT costs by supplementing fixed, in-house capacity with dedicated on demand capacity
Apply high levels of scalability to unplanned complex or time-constrained projects
Workload overflow- when compute-intensive workloads occasionally exceed the scalable limits of your in-house computing infrastructure
Backup for failure of in-house computing resources
Flex capacity for unscheduled or unfunded peak capacity workloads
Flex capacity to help accelerate or save a project schedule
Experiment with compute-intensive applications or models of unproven business value without a commitment to permanent supercomputing infrastructure
Add temporary capacity during an in-house HPC infrastructure acquisition and implementation
Delay or avoid infrastructure or data center upgrades altogether
Perform scalability/stress testing to plan capacity for future implementations
Perform technology evaluations