Quantization of HLS Designs Using Value Range Analysis

Algorithm developers are usually using double precision data types to be able to focus on the mathematical functionality of the algorithm. When this algorithm is implemented as a hardware module, the data accuracy must be reduced to minimum number of bits that still fulfills the system performance requirements. The process of converting the floating-point algorithm to bit-level optimized model is complicated and requires special knowledge. This webinar introduces a simple and robust quantization methodology based on value range analysis.

What You Will Learn

• What is fixed-point conversion a.k.a quantization
• Dynamic and static quantization methods
• Handling special cases
• Using Catapult Value Range Analysis feature for quantizing HLS design

Who Should Attend

• Algorithm developers
• HLS designers
• HW designers
• Verification Engineers