Compute optimizations for low precision machine learning operations
One embodiment provides a general-purpose graphics processing unit comprising a dynamic precision floating-point unit including a control unit having precision tracking hardware logic to track an available number of bits of precision for computed data relative to a target precision, wherein the dynamic precision floating-point unit includes computational logic to output data at multiple precisions.
1. A graphics processor comprising:
a memory device;
a compressor to compress data to be written to the memory device; and
a streaming multiprocessor coupled with the memory device, wherein the streaming multiprocessor includes a single instruction, multiple thread (SIMT) architecture and the streaming multiprocessor is to concurrently execute multiple threads, including a first thread in parallel with a second thread,
wherein the first thread is configured to process a first instruction to cause a first portion of the streaming multiprocessor to perform a floating-point operation on multiple floating-point input operands,
wherein the second thread is configured to process a second instruction to cause a second portion of the streaming multiprocessor to perform an integer operation on multiple integer operands,
wherein the streaming multiprocessor is to perform operations for a third instruction, the streaming multiprocessor to perform a first operation of the third instruction on 16-bit floating-point input and a second operation of the third instruction on input that includes a 32-bit floating-point input,
wherein the streaming multiprocessor is to perform operations for a fourth instruction, the streaming multiprocessor to perform a third operation on 8-bit integer input and a fourth operation on input that includes a 32-bit integer input, and
wherein the first operation of the fourth instruction includes a multiply and the second operation of the fourth instruction includes an accumulate.
2. The graphics processor as in claim 1 , wherein the 16-bit floating-point input includes a half-precision floating-point input.
3. The graphics processor as in claim 1 , wherein the multiple floating-point input operands include 64-bit data elements.
4. The graphics processor as in claim 1 , wherein the first operation of the third instruction includes a multiply and the second operation of the third instruction includes an accumulate.
5. The graphics processor as in claim 1 , further comprising a level-2 (L2) cache coupled with the compressor.
6. The graphics processor as in claim 5 , wherein the compressor is to losslessly compress the data to be written to the memory device.
7. The graphics processor as in claim 5 , wherein the compressor is to decompress data to be read from the memory device.
8. The graphics processor as in claim 6 , wherein the memory device is a high-bandwidth memory (HBM) device.
9. A method comprising:
decoding a first instruction via an instruction decoder of a graphics processor, the first instruction decoded into a first decoded instruction, wherein the graphics processor includes a streaming multiprocessor coupled to a memory device and a compressor to compress data to be written to the memory device, and the streaming multiprocessor includes a single instruction, multiple thread (SIMT);
executing multiple threads associated with the first decoded instruction via the streaming multiprocessor, wherein the first decoded instruction causes a first portion of the streaming multiprocessor to perform a floating-point operation on multiple floating-point input operands;
decoding a second instruction via the instruction decoder of the graphics processor into a second decoded instruction;
executing multiple threads associated with the second decoded instruction via the streaming multiprocessor, wherein the second decoded instruction causes a second portion of the streaming multiprocessor to perform an integer operation on multiple integer operands, wherein the streaming multiprocessor is to execute a thread of the first decoded instruction in parallel with a thread of the second decoded instruction;
decoding a third instruction via the instruction decoder of the graphics processor into a third decoded instruction;
executing multiple threads associated with the third decoded instruction via the streaming multiprocessor, wherein the streaming multiprocessor performs a first operation of the third decoded instruction on 16 -bit floating-point input and a second operation of the third decoded instruction on input that includes a 32-bit floating-point input;
decoding a fourth instruction via the instruction decoder of the graphics processor into a fourth decoded instruction; and
executing multiple threads associated with the fourth decoded instruction via the streaming multiprocessor, wherein the streaming multiprocessor performs the first operation of the fourth decoded instruction on 8 -bit integer input and a second operation of the fourth decoded instruction on input that includes a 32-bit integer input, wherein the first operation of the fourth decoded instruction includes a multiply and the second operation of the fourth decoded instruction includes an accumulate.
10. The method as in claim 9 , wherein the third instruction is a floating-point instruction, the streaming multiprocessor performs the first operation of the third decoded instruction using a first number of bits associated with a first floating-point precision and the second operation of the third decoded instruction using a second number of bits associated with a second floating-point precision.
11. The method as in claim 9 , wherein the 16-bit floating-point input includes a half-precision floating-point input.
12. The method as in claim 9 , wherein the streaming multiprocessor performs the first operation of the fourth decoded instruction using a first number of bits associated with a first representable range of integer values and the second operation of the fourth decoded instruction using a second number of bits associated with a second representable range of integer values.
13. The method as in claim 12 , wherein the multiple floating-point input operands include 64-bit data elements.
14. The method as in claim 13 , wherein the first operation of the third decoded instruction includes a multiply and the second operation of the third decoded instruction includes an accumulate.
15. The method as in claim 9 , further comprising compressing data associated with the first instruction, second instruction, or third instruction before writing the data to the memory device.
16. The method as in claim 15 , further comprising losslessly compressing the data associated with the first instruction, second instruction, or third instruction before writing the data to the memory device.
17. The method as in claim 9 , further comprising decompressing data associated with the first instruction, second instruction, or third instruction after reading the data from the memory device.
18. A graphics processing system comprising:
a system interface coupled with an interconnect fabric;
a graphics memory device coupled with the interconnect fabric;
a compressor to compress data to be written to the graphics memory device; and
a streaming multiprocessor coupled with the graphics memory device, wherein the streaming multiprocessor includes a single instruction, multiple thread (SIMT) architecture and the streaming multiprocessor is to concurrently execute multiple threads, including a first thread in parallel with a second thread,
wherein the first thread is configured to process a first instruction to cause a first portion of the streaming multiprocessor to perform a floating-point operation on multiple floating-point input operands,
wherein the second thread is configured to process a second instruction to cause a second portion of the streaming multiprocessor to perform an integer operation on multiple integer operands, and
wherein the streaming multiprocessor is to perform operations for a third instruction, the streaming multiprocessor to perform a first operation of the third instruction on 16-bit floating-point input and a second operation of the third instruction on input that includes a 32-bit floating-point input,
wherein the streaming multiprocessor is to perform operations for a fourth instruction, the streaming multiprocessor to perform a third operation on 8-bit integer input and a fourth operation on input that includes a 32-bit integer input, and
wherein the first operation of the fourth instruction includes a multiply and the second operation of the fourth instruction includes an accumulate.
19. The graphics processing system as in claim 18 , wherein the graphics memory device is a high-bandwidth memory (HBM) device.
20. The graphics processing system as in claim 18 , wherein the third instruction is a floating-point instruction, the streaming multiprocessor is to perform the first operation of the third instruction with a first number of bits to enable a first floating-point precision and perform the second operation of the third instruction with a second number of bits to enable a second floating-point precision.
21. The graphics processing system as in claim 18 , wherein the 16-bit floating-point input includes a half-precision floating-point input.
22. The graphics processing system as in claim 18 , further comprising a level-2 (L2) cache coupled with the compressor.
23. The graphics processing system as in claim 22 , wherein the compressor is to losslessly compress the data to be written to the graphics memory device.
24. The graphics processing system as in claim 22 , wherein the compressor is to decompress data to be read from the graphics memory device.
25. The graphics processing system as in claim 18 , wherein the streaming multiprocessor is to perform operations for a fourth instruction and the fourth instruction is an integer instruction, wherein the streaming multiprocessor is to perform a first operation of the fourth instruction with a first number of bits to represent a first range of integer values and perform the second operation with a second number of bits to represent a second range of integer values.