GSI Technology Introduces Python-Based Copperhead Compiler Suite to Unleash the Full Power of Gemini APU for Flexible AI and High-Performance Computing
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.
“GSI Technology, Inc. is proud to unveil the Copperhead Compiler Suite for the Gemini APU, revolutionizing computing power and bringing unprecedented advancements to the AI and HPPC industry,” said
Copperhead seamlessly integrates LPython, a user-friendly open-source compiler, combining the ease and familiarity 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.
Empowering Developers with Programmable Frameworks: Gemini APU's bit-programmable microcode sets it apart. Copperhead offers algorithm architects pure-Python emulators and specialized DSLs, boosting innovation by allowing easy experimentation with various data types.
Accelerated Performance: Copperhead empowers programmers to prototype and debug APU application code exclusively in Python. With optimized compilation and testing, applications achieve impressive speeds on the device, often surpassing emulator speeds by over 1,000 times. For example, Conway’s Game of Life running at about 300FPS in emulation, runs at 13 million FPS on the APU.
Together, the Gemini APU and Copperhead Compiler Suite give developers resources to create groundbreaking solutions, representing a significant leap forward in utilizing the computing power of the Gemini APU and enabling diverse applications to thrive.
To learn more about GSI’s Gemini APU , visit https://www.gsitechnology.com/compute
To learn more about LPython, visit https://github.com/lcompilers/lpython
To get access to the Copperhead compiler suite, please email email@example.com
ABOUT GSI TECHNOLOGY
Founded in 1995, GSI Technology, Inc. is a leading provider of semiconductor memory solutions. The Company recently launched radiation-hardened memory products for extreme environments in space and the Gemini® Associative Processing Unit (APU), a memory-centric design that delivers significant performance advantages for diverse AI applications. The Gemini APU architecture removes the I/O bottleneck between the processors and memory arrays by performing massive parallel searches directly in the memory array where data is stored. The novel architecture delivers performance-over-power ratio improvements compared to CPU, GPU, and DRAM for applications like image detection, speech recognition, e-commerce recommendation systems, and more. Gemini is an ideal solution for edge applications with a scalable format, small footprint, and low power consumption where rapid, accurate responses are critical. For more information, please visit www.gsitechnology.com.
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Source: GSI Technology, Inc.