GSI Technology, Inc. announced the beta launch of its Copperhead compiler stack. This technology is specifically designed to complement the Gemini APU, an innovative compute-in-memory device engineered to excel in high-performance, low-power applications such as search, generative AI retrieval, HPPC, and more. The Copperhead compiler suite, a Python-based tool, unlocks the full potential of the Gemini APU's impressive capabilities, including its associative, massively parallel, non-Von-Neumann bit-processing.

This tool empowers developers to create custom frameworks at bit-level granularity, facilitating the simulation and execution of new algorithms that will run at remarkable speeds on currently available production APU hardware. Copperhead seamlessly integrates LPython, a user-friendly open-source compiler, combining the ease and expertise of Python programming with code performance comparable to C. Developers can create optimum data frameworks to harness Gemini APU's unique capabilities for their algorithms. The Copperhead suite also works seamlessly with already available Gemini APU libraries, enabling rapid application development. GSI will be open sourcing the emulation tools of Copperhead to enable community development of applications and libraries for the AI and HPPC markets.

Emowering Developers with Programmable Frameworks: Gemini APU's bit-programmable microcode sets it apart. This approach fosters ongoing optimization and development improvements. Together, the Gemini APU and Copperhead Compiler Suite give developers resources to create solutions, representing a significant leap forward in utilizing the computing power of the Gemini APU and enabling diverse applications to thrive.