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The EXOSTIV platform offers massive FPGA capture capabilities, extending visibility to internal FPGA signals and design operations at their actual operating speeds. It delivers significant cost savings by reducing instances of FPGA bugs reaching the production phase and lowering overall engineering expenses. The platform's capability to conduct real-time analysis of intricate FPGA designs eliminates the dependency on simulation-only methodologies. It is equipped to interface with various prototyping boards, offering adaptability for different testing environments. Central to its functionality is the Exostiv Probe, which provides a high-bandwidth connection to FPGA transceivers, facilitating data rates of up to 65 Gbps. The system supports diverse connection setups, including QSFP28 and SFP+, thus ensuring compatibility with a wide range of designs and systems. For software support, the EXOSTIV platform incorporates the Exostiv Core Inserter, a tool that streamlines IP configuration and insertion. This tool allows users to manage sampling clocks and nodes, ensuring precise data capture and analysis. The flexibility in IP instance management enables extensive node coverage, crucial for complex system development and troubleshooting. Ultimately, EXOSTIV empowers engineers to efficiently monitor and refine their FPGA-based projects, ensuring higher quality deliverables in the market.
Exostiv Blade is designed as a robust solution for deep FPGA tracing, aimed at providing extensive multi-FPGA capture capabilities. It facilitates highly detailed data capture at operating speeds approaching 800 MHz, leveraging trace storage capacities of up to 5.12 TB. This scalable system supports remote access and is versatile enough to handle different deployment environments, from pre-silicon validation to system-level testing in prototype phases. With its modular 2U and 4U chassis options, the Exostiv Blade can manage multiple FPGA systems simultaneously, making it an invaluable tool in complex debugging applications. Engineers benefit from the Exostiv Blade by using it to stress test and verify FPGA designs before production, ensuring flaws are caught and debugged early. It supports dynamic triggering and data qualification conditions, allowing users to pinpoint issues that traditional verification methods might overlook. Furthermore, the tool integrates seamlessly into FPGA prototyping systems, offering compatibility with existing design environments and tools, thus reducing setup and learning curves. This tool is particularly effective in scenarios where precise timing analysis and performance verification are critical. Engineers can achieve greater insight into each FPGA's operational characteristics, thereby optimizing for performance and power efficiency. The Exostiv Blade supports a broad range of AMD devices and accommodates an adaptable number of capture board configurations based on project requirements. It is also compatible with various FPGA vendor tools, maximizing its utility across different design paradigms.
EXOSTIV IP modules are designed to facilitate intricate capture scenarios in FPGA systems, offering unparalleled adaptability and high interactivity during debugging and testing. A cornerstone of the EXOSTIV platform, these IPs operate with maximum sampling rates of up to 800 MHz, ensuring detailed inspection of FPGA design integrity. This IP suite comprises several modules tailored to meet diverse capture requirements, such as the Standard IP and the Extended Width IP, which can achieve extensive node observation with minimal FPGA resource expenditure. The architecture allows multiple IP instances to be integrated across different FPGAs, optimizing data analysis processes and driving efficiency in debugging tasks. Exostiv IPs are equipped with dynamic trigger capabilities, which provide users the flexibility to adjust input trigger delays and chain multiple IPs for enhanced observational scope. The configuration and insertion of these IPs are managed through the Exostiv Core Inserter, which facilitates seamless integration into existing design workflows. This setup permits fine-tuning of node observation and capture strategies, ensuring that all critical signals are adequately monitored throughout the device lifecycle.
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