Nevertheless, an FPGA option is too expensive for high-volume applications, such as domestic appliances; for those appliances, IR will produce configurable versions of the most common algorithms in ...

In this special guest feature from Scientific Computing World, Robert Roe writes that FPGAs provide an early insight into possibile architectural specialization options for HPC and machine learning.

Using a design flow put together by Mentor Graphics and Altera, designers can implement complex DSP algorithms in high-performance FPGAs directly from ANSI C++ code. The flow, which is based on ...

This all happens with minimal Python code and with noteworthy results, which means Python developers can test out machine learning problems on FPGAs without going through the labors of a hardware ...

CoDeveloper for Virtex-4 allows software programmers and FPGA designers to describe parallel algorithms for image processing, DSP, encryption and other processing-intensive applications using standard ...

Overall, the research indicates a strong trend towards optimizing cryptographic algorithms for FPGA implementations, focusing on enhancing performance while ensuring robust security measures.

OKI and Mipsology of France Enter Japanese Market for FPGA-Based Machine Learning (ML) Development Support Services ...