In this brief, we proposed a novel FPGA implementation of the AP, including the CAM and its peripheral circuits, such as the controller, data cache, instruction cache, and program counter. The design details of the whole AP architecture are described by Verilog HDL.
In order to deal with increasingly complex computing problems, an In-memory-based computation system was proposed to replace the traditional Von-Neumann architectures. In-memory computing can save the time and energy of data movement between the memory and processor to avoid the memory-wall bottleneck of traditional Von-Neumann architecture. The associative processor (AP) is such an architecture that is proposed to implement in-memory computing. Content addressable memory (CAM), as a critical part of in-memory computing, plays an important role in an AP. In this brief, we proposed a novel FPGA implementation of the AP, including the CAM and its peripheral circuits, such as the controller, data cache, instruction cache, and program counter. The design details of the whole AP architecture are described by Verilog HDL. To the best of our knowledge, this is the first work that implements an associative processor on a real-world FPGA platform.
Index Terms—In-memory computing, associative processors, FPGA
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Software Requirements:
· Xilinx Vivado2018.3/Xilinx ISE Tool.
· HDL: Verilog.
Hardware Requirements:
· Microsoft® Windows XP.
· Intel® Pentium® 4 processor or Pentium 4 equivalent with SSE support.
· 512 MB RAM.
· 100 MB of available disk space.
LEARNING OUTCOMES:
o Data Flow modeling.
o Structural modeling.
o Behavioral modeling.
o Mixed level modeling.
· About approximation computing.
· Xilinx Vivado 2018.3/Xilinx ISE 14.7 Suite for design and simulation.
· Generation of Netlist.
· Solution providing for real time problems.
· Project Development Skills:
o Problem Analysis Skills.
o Problem Solving Skills.
o Logical Skills.
o Designing Skills.
o Testing Skills.
o Debugging Skills.
o Presentation Skills.
o Thesis Writing Skills.