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Customer 1: Create an environment for prototyping a spacecraft in 6 days.
Model complex architectures at the “entire spacecraft” level
Evaluate performance and energy consumption based on mission geometry and ambient power available.
Demonstrate the “goodness” (and “poor-ness”) of choices in technology and topologies to guide investment decisions
Examples
Communications platforms: (network congestion, buffering, as a function of link geometries, theatre traffic demands) for a constellation of spacecrafts. Use individual VisualSim models for each spacecraft in the constellation.
Surveillance platforms: Explore theatre geometry, power availability and impacts of radiation environments (model as glitches with varying probability based on geographic position of satellite).
Customer 2: Select processors and add-on cards for tanks and other fighting vehicles.
Replace the existing pencil and paper solution with confidence of 200-400%
Conduct trade-off between power and performance of the processor and associated peripheral devices on the board
Utilize VisualSim Explorer for training of field service agents at remote Army Bases on trouble shooting the UAV vehicle
Create state machine models for use as specifications for the software developers
Customer 3: Conduct trade-off studies to design a network processing ASIC.
Evaluate the queuing aspects and decision points in the core router
Maximize the throughput and identify bottlenecks in the router system
Determine optimal processing ASIC architecture
Customer 4: Modeling the detailed flows of the PCI-Express bus interface.
Create a message-based transaction model for the activity sequence between storage devices and a suite of cache and Pentium on the other side of the PCI-Express
Determine the Mega Bytes per second, I/Os per second, and sequence latency for a variety of user data flows
Model the routes of individual and multiple transactions through two switch topologies in either a forward, or reverse flow
Customer 5: To explore the optimal cache architecture.
Model various cache algorithm and implementation scenarios
Interface to embedded processors for detailed and cycle-accurate architecture design
Determine hit-ratio and utilization for a variety of software programs executing on the processor
Customer 6: Create a Network Flight Simulator.
Create a library of network components for quick drag n’ drop modeling
Combine the network model with a constellation dynamics in Satellite Toolkit from Analytics Graphics Inc.
Analyze effective and overall bandwidth utilization
Customer 7: Designing a 40Gbps Transport and Storage High-Performance Processor.
Architectural validation through a host of dynamic traffic and process work loads.
Generate feedback on key performance metrics including latency and utilization of shared resources, work queue build up and Quality of Service (QOS) efficiency throughout the SOC.
Analsysi validated the architecture choices, profiled the system performance and provided key metrics to the design leads at an early stage of the SOC development process
Customer 8: Optimize the performance of a multi-port Gigabit Ethernet Switches.
Adopt system capabilities to identify corner cases and perform chip verification early in the design cycle
Enable a platform that will quickly explore ideas; marketing teams to generate early performance data for design-wins; and platform to debug ongoing customer problems in the field
Introduce an architectural design phase into the design flow with minimal disruption and an accelerated response time
Customer 9: System design software and services for the next generation Integrated Shipboard Systems.
Create a virtual prototyping environment to validate the requirements and generate a comprehensive hardware and software architecture specification
Increase systems engineering productivity, enable greater levels of collaboration across design teams and achieve greater technical innovation
Common modeling mechanism for systems engineers, hardware and software designers; graphical depiction for demonstration and design review; and scalability to support very large systems.
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