effcc Compiler | Energy-Efficient Edge AI & Embedded Development | Efficient Computer
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Effortless code optimization for maximum efficiency
Bring your own code
Using LLVM and MLIR infrastructure, the effcc Compiler provides a familiar frontend that automatically parallelizes standard C/C++ and TFLite code without user annotations. Simply drop in your code and compile.
Lightning-fast compilation
Unlike traditional FPGA synthesis tools, our research-backed place-and-route algorithms can compile code in minutes, allowing developers to refine, test, and deploy new functionality fast.
Harness the power of the Fabric with no overhauls
The effcc Compiler resolves scheduling and mapping decisions at compile time, eliminating runtime overhead and jitter for deterministic execution. It supports standard debugging with GDB-compatible tools and provides expert-level control through compiler-provided intrinsics and manual annotations.
Optimized for efficiency
Our proprietary Modular Optimization Framework (MOF) uses performance and energy modeling to choose the best parallelization strategies for your specific workload. The framework minimizes energy-intensive data movement by keeping values close to compute, while our NUPEA-aware mapping places critical instructions near memory for an average 28% speedup.
Expanding language and library support
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We are continually expanding the effcc Compiler's support for popular languages and frameworks, offering developers more options and flexibility. Our growing software ecosystem includes a developer-friendly SDK, hand-optimized libraries for DSP and image processing, and visual debugging tools.
Seamless integration with popular tools
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The effcc Compiler is a drop-in replacement for GCC/Clang compilers, integrating seamlessly with existing developer tools.
Use cases
Transforming development on the Fabric architecture
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Industrial automation
Industrial automation systems often struggle with energy inefficiency, leading to higher maintenance cost and increased manual oversight.
The Electron E1 general-purpose processor allows battery-operated vibration and acoustic sensors to perform local FFTs and predictive maintenance algorithms for years, eliminating the latency and cost of off-device communication. By enabling real-time data processing and predictive maintenance, our technology reduces manual oversight and improves operational efficiency.
Critical infrastructure observability
By locally processing sensor data directly on the Fabric architecture, the Electron E1 eliminates the energy tax of off-device communication while providing real-time monitoring of critical infrastructure. Compared to specialized accelerators that only optimize isolated kernels, the Fabric architecture accelerates the entire application, allowing remote environmental sensors to perform significantly more compute while maintaining years of autonomous operation on a single battery.
Space and defense operations
In mission-critical space and defense applications, where resources are limited, the Electron E1 keeps energy use low while delivering advanced on-device computing. The Fabric architecture redefines SwaP by drastically reducing energy consumption and heat generation. With up to 100x greater energy efficiency through our Fabric architecture, our technology enables advanced on-device AI and high-fidelity sensor fusion without increasing payload weight or thermal overhead.
Wearable technology
In wearable devices, the Electron E1 extends battery life while supporting high-performance health monitoring and fitness tracking, for long term use. With up to 100x improvement in energy efficiency, Electron E1 allows body-mounted wearables to run complex multi-modal AI models within the strict thermal and energy envelopes that traditionally limit wearables.