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VisualSim AI Evaluator is an AI evaluator that combines analog, digital, power and network modeling to select the right architecture for the accelerator and the right configuration of accelerators and memories for a target application. The modeling effort in VisualSim has demonstrated good insight into the operation, generated alternate processing modes, helped create better memory access schemes, made parallelization effective at a lower cost, and narrowed the list of required parallel accelerators. VisualSim AI Evaluator can be used for the design of data center systems, edge devices and AI processors/ accelerators.


The modeling technologies include:
  • Library of analog components, memories, queues, bus topologies, multi-core, GPUs, FPGAs, ASICs, CPUs, accelerators, and High-Performance Computing (HPC) structures
  • Task graph modeling components to emulate the application
  • Analysis tools for task tracing, deadline monitors, memory access. Data overload, efficiency analyzer
  • Use-case and traffic generators to emulate the environment and input streams.

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