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System and method of floating point multiply operation processing

a floating point multiplier and operation processing technology, applied in the field of processors, can solve the problems of increasing the size and cost of the processor, introducing additional complexity and routing logic into the processor,

Active Publication Date: 2019-06-27
QUALCOMM INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The patent allows for a way to do floating point multiplication without needing specialized circuitry. This means that we can use a smaller number of components, reducing costs and power consumption. The technical effect of this is that it makes it more efficient and cost-effective to perform floating point multiply operations.

Problems solved by technology

However, including the dedicated 64-bit multiplier may increase a size and cost of the processor, while conversion of the instruction into the looping operation introduces additional complexity and routing logic into the processor.

Method used

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  • System and method of floating point multiply operation processing
  • System and method of floating point multiply operation processing
  • System and method of floating point multiply operation processing

Examples

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Effect test

example 1

[0034]Executing the second integer multiply instruction 134 causes the 32-bit integer multiplier 112 to perform integer multiplication of the low-order significand bits of the first operand, Sig-Lo-A 217, with high-order significand bits of the second operand, Sig-Hi-B 226, to generate a 53-bit value 242. The 53-bit value 242 is added to the 32-bit value 234 to generate a 55-bit value 244 (including the sticky bit 235).

[0035]In an example, the second integer multiply instruction 134 is a double float multiply low-high (DFMPYLH) instruction that multiplies a first, 32-bit operand from RssV.uw[0] (e.g., portion 212 storing Sig-Lo-A 217) to a second, 21-bit operand from RttV.uw[1] (e.g., Sig-Hi-B 226 from portion 221). The result of the multiplication is accumulated with (added to) the value in the register RxxV.

[0036]Prior to performing integer multiplication, DFMPYLH applies a mask to zero the sign bit (e.g., sign bit 224) and the exponent (e.g., Exp-B 225) of the second operand, dep...

example 2

[0039]Executing the third integer multiply instruction 136 causes the 32-bit integer multiplier 112 to perform integer multiplication of high-order significand bits Sig-Hi-A 216 of the first operand 122 with the low-order significand bits Sig-Lo-B 227 of the second operand 124 to generate a 53-bit value 252. The value 252 is added to the value 244 to generate the 55-bit intermediate result 142 (and the sticky bit 235). In an example, the third integer multiply instruction 136 is a DFMPYLH instruction as depicted in Example 2. The intermediate result 142 may therefore include a sum of partial products (e.g., the values 232, 242, and 252) and no exponent is used in the first three operations associated with the instructions 132, 134, and 136.

[0040]The special purpose floating point multiply accumulate instruction 140 is executed with respect to the intermediate result 142 and at least one floating point operand to generate the final floating point multiplication result 144. For exampl...

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Abstract

A processor includes an integer multiplier configured to execute an integer multiply instruction to multiply significand bits of at least one floating point operand of a floating point multiply operation. The processor also includes a floating point multiplier configured to execute a special purpose floating point multiply accumulate instruction with respect to an intermediate result of the floating point multiply operation and the at least one floating point operand to generate a final floating point multiplication result.

Description

I. FIELD[0001]The present disclosure is generally related to processors, and more specifically related to floating point multiply instruction processing.II. DESCRIPTION OF RELATED ART[0002]Advances in technology have resulted in more powerful computing devices. For example, computing devices such as laptop and desktop computers and servers, as well as wireless computing devices such as portable wireless telephones, have improved computing capabilities and are able to perform increasingly complex operations. Increased computing capabilities have also enhanced device capabilities in various other applications. For example, vehicles may include processing devices to enable global positioning system operations or other location operations, self-driving operations, interactive communication and entertainment operations, etc. Other examples include household appliances, security cameras, metering equipment, etc., that also incorporate computing devices to enable enhanced functionality, su...

Claims

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Application Information

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IPC IPC(8): G06F7/487G06F7/485
CPCG06F7/4876G06F7/485G06F7/523G06F7/5324
Inventor DANYSH, ALBERTPLONDKE, ERICHMAHURIN, ERIC
Owner QUALCOMM INC
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