Floating-Point Mantissa Shifting for Low-Latency Integer Processing
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Solution Overview
Problem
Existing algorithms for converting integers to floating point values and vice versa overwhelm processing capabilities with high latency and low throughput, impacting performance in hardware systems, particularly in networks.
Innovation Solution
Modifying floating point numbers by shifting mantissa bits to align with integer representations, allowing for direct processing on integer hardware without mathematical conversions, and converting back using specific integer additions to maintain data integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional conversion algorithms are used to convert between integer and floating point values, then data type conversion is achieved, but processing throughput decreases and latency increases
Solution Approach 1:
The patent extracts only the necessary mantissa bits from the floating point representation to perform integer operations, rather than converting the entire floating point value. This selective extraction of critical bits enables integer hardware to process floating point data directly, achieving both accuracy and high throughput without full conversion overhead
Solution Approach 2:
The patent introduces a bit-shifting operation as an intermediary step between floating point representation and integer processing. By shifting the mantissa bits to align with integer formats, the system creates a compatible intermediate representation that can be processed by integer hardware while maintaining the original floating point precision requirements
2Measurement precision
If conventional conversion algorithms are used to convert between integer and floating point values, then data type conversion is achieved, but processing latency increases
Solution Approach 1:
The patent segments the floating point conversion process into distinct bit-manipulation operations (extracting sign, exponent, and mantissa bits; shifting mantissa; reconstructing integer representation) that can be executed in parallel on hardware. This segmentation eliminates sequential conversion overhead and reduces latency while maintaining accuracy
Solution Approach 2:
The patent replaces the mechanical/mathematical conversion system with a direct bit-manipulation system. Instead of performing arithmetic conversions between data types, the system uses bitwise operations and shifts to directly map floating point bits to integer representations, dramatically reducing conversion time and latency
3Measurement precision
If full mathematical conversions are performed between data types, then conversion accuracy is maintained, but processing power requirements increase
Solution Approach 1:
The patent uses simple, low-cost bit-shifting and masking operations instead of expensive mathematical conversion functions. These lightweight operations consume minimal processing power and can be discarded after use, enabling high-volume conversions without significant energy expenditure while maintaining necessary accuracy
Solution Approach 2:
The patent changes the representation parameters of floating point numbers by interpreting the mantissa bits directly as integer values with appropriate scaling. This parameter transformation allows the same data to be processed in both floating point and integer domains without full conversion, reducing processing power requirements while maintaining accuracy
Data Source
AI summary
Systems and techniques to convert data value types. In at least one embodiment, data value types are converted by adjusting data floating point numbers to identify integer values and adjusting integer values to identify floating point numbers without applying mathematical operations with respect to conversions.