Profile-guided floating- to fixed-point conversion for hybrid FPGA-processor applications
ACM Transactions on Architecture and Code Optimization (TACO) - Special Issue on High-Performance Embedded Architectures and Compilers
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User requirements for signal processing have increased in line with, or greater than, the increase in FPGA resources and capability. Many current signal processing algorithms require floating point, especially for military applications such as radar. Also, the increasing system complexity of these designs necessitate increased designer productivity, and floating point allows an easier implementation of the system model than the fixed point arithmetic that FPGA devices have been traditionally architected for. This article will review devices and methods for achieving consistent high performance system implementations in floating point. Single device designs at over 200 GFLOPs at the 40nm node, and approaching 1 Teraflop at 28nm will be described.