FPGAs and Deep Machine Learning

machine-learning

The concept of machine learning is not new. Attempts at systems emulating intelligent behavior, like expert systems, go as far back as the early 1980’s. And the very notion of modern Artificial Intelligence has a long history. The name itself was coined at a Dartmouth College conference (1956), but the idea of an “electronic brain” was born together with the development of modern computers. AI as an idea accompanies us from the dawn of human history.

Three latest development are pushing forward “Machine Learning”:

  • Powerful distributed processors
  • Cheap and high volume storage
  • High bandwidth interconnection to bring the data to the processors

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Intel announces Xeon processor with FPGA accelerator

xeon_fpga
Image source: Altera

Last year (December 2015), Intel completed the acquisition of Altera. As a result of this acquisition, the integration of processor and FPGA on a single chip is finally becoming a reality.

Intel envisions many applications for this combination of processor and FPGA. The FPGA will fulfill accelerator tasks, either by static configuration or dynamic reconfiguration.

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