VisualSim Architect provides end-to-end coverage across all domains of modern system design:
Semiconductors & SoCs – digital, analog, mixed-signal, and multi-die architectures
Electronics & Embedded Systems – sensors, controllers, actuators, compute, network and firmware
Software & Applications – task graphs, software input, task mapping, OS scheduling, middleware integration
Networks & Protocols – on-chip, in-vehicle, data center, and 5G/6G communication
RF & Signal Processing – SDR, avionics, satellite, and radar workloads
VisualSim includes a rich library of general-purpose components such as queues, schedulers, buffers, switches, and signal generators that serve as the foundation for any model. These universal blocks allow architects to quickly assemble prototypes of systems ranging from embedded controllers to large-scale distributed infrastructures. Each block is fully parameterized and reusable, enabling rapid construction and modification of complex topologies. These enable scaling to extremely large systems with quick exploration across multiple simultaneous changes.
The semiconductor component library provides verified processors, memory controllers, interconnects, chiplets, and accelerators. It enables engineers to evaluate power, performance, and reliability at the system-on-chip (SoC) and multi-die levels. Each block can represent commercial or custom IP—ranging from ARM, RISC-V, or Power cores to DDR/HBM memory, NoCs, and UCIe/PCIe/CXL interfaces—allowing accurate architecture trade-off analysis before silicon design begins.
VisualSim unifies hardware and software co-design in a single simulation environment. Users can connect hardware components such as CPUs, GPUs, and peripherals to software workloads, schedulers, and RTOSs, evaluating how code execution, scheduling policies, and task partitioning affect system performance and energy use. This integration makes it easy to study cross-layer interactions and validate full platform behavior before implementation.
VisualSim provides specialized components for modeling AI infrastructure, GPU clusters, and data center architecture. Engineers can explore compute scaling across thousands of GPUs and CPUs, connected through NVSwitch, NVLink, PCIe, CXL, and high-speed Ethernet. The models capture data movement, power distribution, latency, and throughput under real AI workloads such as training and inference. By simulating utilization, cooling requirements, and workload balance, organizations can size their AI systems for optimal efficiency and profitability before deployment. VisualSim’s multi-domain environment also supports edge-to-cloud architecture analysis, allowing teams to co-design on-premise and distributed AI systems within a single framework.
Traffic generators and analyzers model the flow of data, signals, and messages through a system. These components replicate realistic workloads—from automotive sensor streams and avionics communication to AI inference traffic and network packets—helping designers visualize congestion, latency, and throughput under varying loads. Traces from networks, hardware and software execution can be easily input using a Reader component. This enables performance optimization under true operating conditions.
Built-in analytics modules automatically collect and visualize key performance metrics such as latency, utilization, throughput, and power. The reporting engine generates detailed plots, timelines, and statistical summaries that guide design trade-offs and validate architecture choices. Traces are generated on the input and out times stamp at each component and throughput at each component. Engineers can compare multiple design configurations and export results for documentation or review, ensuring every decision is backed by quantifiable data.
The VisualSim Open API enables seamless integration with external software code, simulators, and hardware-in-the-loop environments. Engineers can link C/C++, Python, MATLAB, Satellite Toolkit or SystemC models directly into VisualSim, or connect to third-party verification and hardware systems. This flexibility allows users to co-simulate real algorithms with abstract system models, bridge virtual prototypes to physical hardware, and build complete design workflows across tools and teams.
VisualSim offers an extensive library of Application Templates that serve as ready-to-use starting points for modeling across multiple industries. Each template is a fully functional system model built using the same tested and verified VisualSim components, enabling rapid customization for specific architectures or performance goals. These templates cover a wide range of domains, including semiconductors (Multi-cluster, heterogeneous computing, FPGA), automotive and aerospace networks (braking, safety systems, autonomous), AI and data center platforms, IoT and edge devices, and defense communication systems. Using Application Templates, teams accelerate the design process, minimize modeling errors, and gain immediate insight into system-level performance, power, and reliability — all while maintaining consistency with validated architectures.
With VisualSim, you’re not just simulating—you’re designing, experimenting, and validating entire systems. From silicon microarchitecture to software-driven networks, the platform provides 100% coverage, flexible modeling options, and built-in intelligence to deliver optimized products faster.
