EARLY INSTRUCTION-LENGTH PRE-DECODE OF VARIABLE-LENGTH INSTRUCTIONS IN A SUPERSCALAR PROCESSOR

Patent №

US 5,809,272

Granted

1998-09-15

Filed 1995

Owner

EXPONENTIAL TECHNOLOGY, INC.

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08564718

A superscalar processor can dispatch two instructions per clock cycle. The first instruction is decoded from instruction bytes in a large instruction buffer. A secondary instruction buffer is loaded with a copy of the first few bytes of the second instruction to be dispatched in a cycle. In the previous cycle this secondary instruction buffer is used to determine the length of the second instruction dispatched in that previous cycle. That second instruction's length is then used to extract the first bytes of the third instruction, and its length is also determined. The first bytes of the fourth instruction are then located. When both the first and the second instructions are dispatched, the secondary buffer is loaded with the bytes from the fourth instruction. If only the first instruction is dispatched, then the secondary buffer is loaded with the first bytes of the third instruction. Thus the secondary buffer is always loaded with the starting bytes of undispatched instructions. The starting bytes are found in the previous cycle. Once initialized, two instructions can be issued each cycle. Decoding of both the first and second instructions proceeds without delay since the starting bytes of the second instruction are found in the previous cycle. On the initial cycle after a reset or branch mis-predict, just the first instruction can be issued. The secondary buffer is initially loaded with a copy of the first instruction's starting bytes, allowing the two length decoders to be used to generate the lengths of the first and second instructions or the second and third instructions. Only two, and not three, length decoders are needed.

AI hardwareG06F 9/3816G06F 9/30149G06F 9/382G06F 9/3853

AI classification

AI hardware0.99
Natural language0.00
Knowledge representation0.00
Planning0.00
Vision0.00
Speech0.00
Machine learning0.00
Evolutionary computation0.00

Ownership

EXPONENTIAL TECHNOLOGY, INC.

assignment · 79990278

Assignors

THUSOO, SHALESH, BLOMGREN, JAMES S.

On an employer assignment, the assignors are typically the inventors.

From the same owner

© 2026 NYSGPT2525 LLC