When Code becomes adaptive
Driving Efficiency in all Areas of Computing
Software / OS
Modern software development is increasingly complex due to heterogeneous hardware and the need for cost-efficient execution, not only in high-computing applications. Today’s computing platforms combine multicore CPUs, GPUs, and specialized accelerators with varying performance characteristics. In multicore systems, programmers still have to manually adapt code to architectures – a time-consuming process requiring significant expertise, as fully automated parallelization remains limited.
With its LYOCS technology, Mynatix enables software to run optimally on any hardware. LYOCS automates hardware-aware code segmentation and adaptation, allowing software to exploit hardware parallelism in an architecture-independent way. The LYOCS segmentation enables code to adapt to the hardware-specific latency times.
The technology replaces manual optimization, reduces complexity, and makes performance more predictable – independent of programming language or application domain. It optimizes code for specific hardware configurations, enabling automated hardware switching and optimization. LYOCS can be integrated across the software stack, from developer tools and compilers to OS kernels and cloud infrastructure. This enables more efficient resource utilization and supports scalable solutions for high-performance computing (HPC), low-latency, and embedded systems.
Programmable Hardware
Programmable hardware such as field-programmable gate arrays (FPGAs) offers significant potential for efficient, application-specific computing. However, hardware design remains complex and resource intensive. Optimized FPGA or ASIC implementations typically require expertise in hardware description languages and long development cycles. This prevents many organizations from fully exploiting the performance and energy-efficiency benefits of programmable hardware.
Mynatix addresses this challenge with its LYOCS technology, providing a direct path from high-level programming languages to hardware-ready implementations. The technology automatically segments code into its smallest sequential executable parts before hardware mapping, exposing opportunities for parallel execution and therefore simplifying the translation of software into optimized hardware designs.
Integrated into high-level synthesis (HLS) workflows, LYOCS prepares code for efficient hardware mapping while extending existing toolchains. It enables developers to generate automatically optimized FPGA designs directly from high-level programming languages and supports scalable ASIC design pipelines.
By automating key steps of hardware creation, LYOCS reduces design complexity and shortens development cycles, unlocking the full potential of programmable hardware for high-performance, energy-efficient computing.
Reduced CPU
Modern high-performance central processing units (CPUs) rely on complex mechanisms such as out-of-order execution, large reorder buffers, and advanced branch prediction to handle instruction level parallelism in sequential code. While these mechanisms are effective, they increase significantly chip complexity, silicon area, and energy consumption.
Mynatix introduces a new approach with its LYOCS technology. During static code analysis, LYOCS automatically identifies instruction-level parallelism and shifts part of the execution complexity from hardware to compilation. Code is pre-segmented into parallel execution units before reaching the processor, allowing the hardware to execute tasks efficiently without relying on large, out-of-order execution units. LYOCS enables the design of simplified CPUs that maintain high performance while requiring fewer hardware resources. The results are processors with smaller chip area, lower power consumption, and more predictable execution behavior.
The approach is relevant for supporting open, emerging architectures such as RISC-V, and for domains where energy efficiency and cost are critical, including high-performance computing, edge computing, embedded systems, and IoT. By aligning software structure with physical execution constraints, Mynatix enables a new generation of efficient processors.
Quantum Computing
Quantum computing offers significant advantages for highly parallelizable problems, yet programming quantum systems remains a major challenge. Quantum algorithms must be translated into circuits respecting strict physical constraints such as reversibility and have to consider qubit dependencies, limited connectivity and error sensitivity. Therefore, optimizing quantum circuits often requires substantial expertise.
Mynatix applies its LYOCS technology to this physics-based code segmentation principle. By analyzing dependencies at instruction level, the technology identifies operations that can be executed independently and groups them into parallelizable blocks. This representation extracts the maximally parallelizable structures in code, which must be represented in reversible circuits. Methods such as Fast-Fourier-Transformation enable an automatic path to map algorithms to quantum circuits while respecting the constraints of quantum hardware.
Independent operations can be executed simultaneously on the available Qubits, while dependent operations are arranged in the required sequence, respectively, can use the exponential potential of entangled states. As a compiler technology for quantum computers, LYOCS bridges classical software development and quantum execution. By exposing execution freedom in a hardware-aware manner, it simplifies circuit generation and provides the physical configuration properties needed to control quantum computers. This makes quantum computing more accessible and scalable for practical applications.