Extended Floating-Point Format for Denormal Range Processing
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Solution Overview
Problem
Current processors face challenges in efficiently processing denormal numbers due to the limitations of standard floating-point formats, which often require costly hardware or slow software-based solutions, and these inefficiencies can impact performance, especially in applications like machine learning and artificial intelligence.
Innovation Solution
Implementing extended range floating-point formats that allow for an expanded range of representable numbers by reinterpreting certain bits as a second exponent value, enabling efficient processing of small and large numbers without additional hardware costs or performance penalties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If standard floating-point formats are used, then hardware complexity is kept low, but the range of representable numbers is limited and processing of denormal numbers becomes inefficient
Solution Approach 1:
The patent applies dynamics by making the floating-point format adaptable through a control signal that enables or disables extended range mode. When extended mode is enabled, the format dynamically reinterprets bits to provide an extended exponent range; when disabled, it operates in standard mode for backward compatibility. This dynamic reconfiguration allows a single hardware design to support multiple floating-point formats without requiring separate hardware paths.
Solution Approach 2:
The patent changes the interpretation parameters of the floating-point format by modifying how exponent bits are decoded based on the control signal. In extended range mode, the format changes the effective number of exponent bits and the bias value used for decoding, thereby changing the representable range parameter without changing the physical hardware structure.
2Productivity
If extended range floating-point formats are implemented with additional hardware, then processing of small and large numbers improves, but hardware costs and complexity increase
Solution Approach 1:
The patent applies self-service by enabling the existing floating-point hardware to process extended range numbers using its own resources. The execution unit reuses the same arithmetic logic and register structure to handle both standard and extended formats by dynamically adjusting control parameters, rather than requiring separate dedicated hardware paths for extended range processing.
Solution Approach 2:
The patent makes the floating-point execution unit universal by enabling it to handle multiple floating-point formats (standard and extended range) with a single hardware design. The same arithmetic logic unit, register file, and control circuitry serve both formats by being dynamically reconfigured through the control signal, eliminating the need for separate hardware implementations.
3Device complexity
If software-based solutions are used to handle denormal numbers, then hardware complexity is reduced, but processing speed decreases
Solution Approach 1:
The patent applies preliminary action by pre-configuring the hardware with the extended range capability through a control signal that can be set before number processing begins. This allows the hardware to be prepared in advance to handle extended range numbers efficiently, avoiding the need for slow software-based conversion or processing during actual computation.
Data Source
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AI summary
A processor of an aspect includes decoder circuitry to decode an instruction indicating a source floating-point operand, having a floating-point data element, and indicating a destination register. The element has a sign bit, an N-bit first exponent value, and M bits. Execution circuitry of the processor is to interpret the M bits as an M-bit significand, when the N-bit first exponent value is not all zeroes or all ones, and interpret the M bits as including a second exponent value in at least one of the M bits, and a less than M-bit significand in at least one other of the M bits, when the N-bit first exponent value is either all zeroes or all ones. The execution unit is to perform an operation on the source floating-point operand to generate a result floating-point operand, and to store the result floating-point operand in the destination register.