Patent reveals AMD is thinking about Super-SIMD for GPU computing

Posted on Wednesday, May 09 2018 @ 10:09 CEST by Thomas De Maesschalck
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A week ago, AMD was granted a patent that describes a super single instruction multiple data (Super-SIMD) for GPU computing. Originally submitted on November 17, 2016, this is something that may make it into one of AMD's future GPU architectures.

Legit Reviews writes this looks like a major change to the Compute Unit (CU) used on the current Graphics Core Next (GCN) GPU architecture. The site notes this looks a bit similar to what AMD used for its Bulldozer architecture, where two or more ALUs are grouped together. The group has a small cache, which allows results from an operation to bypass the L1 cache and pass immediately to another ALU in the group.
A super single instruction, multiple data (SIMD) computing structure and a method of executing instructions in the super-SIMD is disclosed. The super-SIMD structure is capable of executing more than one instruction from a single or multiple thread and includes a plurality of vector general purpose registers (VGPRs), a first arithmetic logic unit (ALU), the first ALU coupled to the plurality of VGPRs, a second ALU, the second ALU coupled to the plurality of VGPRs, and a destination cache (Do$) that is coupled via bypass and forwarding logic to the first ALU, the second ALU and receiving an output of the first ALU and the second ALU. The Do$ holds multiple instructions results to extend an operand by-pass network to save read and write transactions power. A compute unit (CU) and a small CU including a plurality of super-SIMDs are also disclosed.
AMD Super-SIMD


About the Author

Thomas De Maesschalck

Thomas has been messing with computer since early childhood and firmly believes the Internet is the best thing since sliced bread. Enjoys playing with new tech, is fascinated by science, and passionate about financial markets. When not behind a computer, he can be found with running shoes on or lifting heavy weights in the weight room.



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