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OPTIMA publish a paper about “Preconditioned Conjugate Gradient Acceleration on FPGA-based platforms”

You are here: Home / News / OPTIMA publish a paper about “Preconditioned Conjugate Gradient Acceleration on FPGA-based platforms”

10/17/2022 by optimahpc

The OPTIMA project publishes its first article in the journal Electronics MDPI on “Preconditioned Conjugate Gradient Acceleration on FPGA-based platforms”.

Reconfigurable computing can significantly improve the performance and energy efficiency of many applications. However, FPGA-based chips are evolving rapidly, increasing the difficulty of evaluating the impact of new capabilities such as HBM and high-speed links. In this paper, a real-world application was implemented on different FPGAs in order to better understand the new capabilities of modern FPGAs and how new FPGA technology improves performance and scalability. The aforementioned application was the preconditioned conjugate gradient (PCG) method that is utilized in underground analysis. The implementation was done on four different FPGAs, including an MPSoC, taking into account each platform’s characteristics. The results show that today’s FPGA-based chips offer eight times better performance on a memory-bound problem than 5-year-old FPGAs, as they incorporate HBM and can operate at higher clock frequencies.

Click on the link to read the full paper: https://doi.org/10.3390/electronics11193039

Category iconNews Tag iconenergy efficieny,  FPGA

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This project has received funding from the European High-Performance Computing Joint Undertaking Joint Undertaking (JU) under grant agreement No 955739. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Greece, Germany, Italy, Netherlands, Spain, Switzerland.

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