Strengthen System Reliability. Optimize System Power & Performance.
Platform Insight & System Tuning
Reducing the time it takes to go from pre-silicon to production can be an enormous competitive advantage. The Intel® System Bring-up Toolkit delivers what developers need to accelerate system bring-up and optimization—whether you’re a device manufacturer, system integrator, or IoT software provider.
This collection of debug, trace, and power and performance analysis tools allow developers to quickly debug and analyze the entire platform, including:
Firmware, UEFI, BIOS
Operating system kernels, device drivers, and more
Regardless of whether you’re in pre- or post-silicon development, the results are:
Faster time to market
Optimized performance and power or thermal behavior
Note If you do not see the components after you sign in, you may not have CNDA access.
System Debug Simplify system bring-up, validation, and platform testing by resolving issues quickly with deep hardware and software insights to ensure platform stability and market success.
Power Analysis Quickly measure how your system is operating with respect to power by correlating key hardware and software metrics to optimize idle, battery life, active power, and thermal behavior.
Performance Analysis Pinpoint code-tuning opportunities with a performance profiler that delivers a deep, comprehensive analysis of system performance characteristics to ensure faster cross-architecture performance.
Intel® SoC Watch
Use this in-depth energy analysis command-line tool to quickly collect metrics that can be used to analyze a system's power and thermal behavior. There are three main workflows for power analysis:
Collect data directly on a Windows*, Linux*, or Android* target system using this command-line tool and analyze the results.
Use Intel® SoC Watch to collect data on the command line. Then, import the results to Intel® VTune™ Profiler for visualization and a detailed inspection of energy consumption and thermal behavior over time.
Use Intel VTune Profiler directly to start, collect, and analyze power and thermal data, and then correlate it with performance data for deep insight into the application and platform.
Intel® System Debugger
Speed up system bring-up and validation of hardware and system software using in-depth debug and trace of BIOS and UEFI, firmware, device drivers, operating system kernels, and more.
To help quickly resolve complex system issues, this feature supports in-depth debugging of system software. The Eclipse* integrated source-line debugger enables deep analysis of BIOS and UEFI code, system-on-a-chip (SoC) peripheral registers, operating system kernels, device drivers, and more. Use the tool with physical hardware or with Simics® software as a simulation target to get to market faster with more reliable systems.
This feature traces events on Intel® architecture from various hardware, firmware, and other software sources. You can collect, export, and analyze trace data collected by Intel® Trace Hub from sources like:
Power Management Controller (PMC)
Intel® Converged Security and Management Engine (Intel® CSME)
Architecture Event Trace (AET)
Event Tracing for Windows (ETW)
Events can be extracted via several mechanisms, including JTAG, system memory, or through a USB connection. Analyzing Intel Trace Hub events from multiple platform sources helps you determine root causes of bugs quickly.
Intel® Debug Extensions for WinDbg
These extensions help accelerate platform bring-up, and Windows kernel and device driver development and validation by enhancing Windows Debugger (WinDbg) with JTAG debug and trace capabilities.
Intel® VTune™ Profiler
In minutes instead of hours, find and optimize application, system, and system configuration performance bottlenecks across CPU, GPU, and FPGA systems. The data collector aggregates cross-system profiling data using low overhead. Boost single and multithreaded performance, memory access, energy efficiency, caching, and storage.
Analyze application performance across CPUs, GPUs, and FPGAs.
Profile code written in SYCL*, C, C++, C#, Fortran, OpenCL™ code, Python*, Google Go* programming language, Java*, Assembly, or any combination.
Collect coarse-grained, system-wide data for an extended period or detailed results mapped directly to application source code.
Optimize performance while avoiding power- and thermal-related throttling.