Hotwright Inc. stands at the forefront of semiconductor IP innovation, specializing in advanced processor architectures and algorithm accelerators. With a commitment to breaking free from traditional instruction set architectures, the company offers cutting-edge solutions like the unique NoISA processor. This processor integrates Hotwright's proprietary technology, the Hotstate machine, which functions as an advanced runtime loadable microcoded algorithmic state machine. Programmable in a specialized subset of C, the NoISA processor grants designers unprecedented flexibility, enabling them to create efficient controllers and small footprint designs that are ideal for edge and IoT applications.
Emphasizing power efficiency and flexibility, Hotwright's NoISA processor is an alternative to the traditional softcore CPUs. It provides a versatile, energy-aware option for developers wanting to avoid the constraints of fixed instruction sets. Particularly suited for use cases where power consumption is crucial, like IoT devices, the NoISA processor allows rapid customization through microcode reprogramming, unlike conventional processors that require hardware-level changes.
Hotwright's innovation doesn't stop at processors; their Hotstate machine is a testament to their expertise in algorithm acceleration. It offers a high-level synthesis approach where algorithms are decomposed into their data flow and control flow graphs, allowing tailored state machines that match the needs of specific applications. This machine is particularly useful for HDL engineers familiar with C programming, delivering dependable and efficient outcomes faster, thus saving both time and resources.
The Hotstate machine also stands out due to its flexibility in designing control data paths and various controllers, supporting complex tasks with minimal hardware requirements. By enabling real-time customization and high-speed operation through microcoded state machines, Hotwright empowers engineers to deploy sophisticated semiconductor solutions across a broad spectrum of applications, from low bit length neural networks to intricate instruction decoders.
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