Hitachi, Ltd. (TSE: 6501) announced the development of a database management system optimized for the high-speed embedded memory in the hardware (FPGA *1) and technology for high performance parallel ...

In today’s rapidly evolving semiconductor landscape, System-on-Chips (SoCs) are becoming increasingly complex, integrating multiple processing cores, specialized accelerators and vast memory arrays.

Speaking of a programming language used for parallel computing using a GPU, Python is commonly used for research on machine learning, but you may want to use the GPU in a JavaScript web application.

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A CPU equipped with a dedicated hardware chip for parallel programs that allows researchers at MIT to calculate a multi-core (many core) CPU 18 times faster than beforeSwarm"Was developed. Researchers ...

Many modern artificial intelligence (AI) applications, such as surgical robotics and real-time financial trading, depend on the ability to quickly extract key features from streams of raw data. This ...

As artificial intelligence grows more powerful, so does its appetite for speed and energy. The quest for faster, smarter systems has driven researchers to an unlikely ally—light itself. A new study by ...

This paper propose an improved method called the modified warm-up-free parallel window(PW) MAP decoding schemes to implement highly-parallel Turbo decoder architecture based on the QPP(Quadratic ...