Intel Corporation

Weiyu Chen

Subramaniam M Maiyuran

Guei-Yuan Lueh

Jorge E Parra

Supratim Pal

Chandra S Gurram

Konrad Trifunovic

Ashutosh Garg

Shubh Shah

Timothy R Bauer

Varghese George

Stephen Junkins

Jorge F Garcia Pabon

Shubra Marwaha

Darin Starkey

Kaiyu Chen

Buqi Cheng

Junjie Gu

Hong Bin Liao

Brent A Schwartz

Ashwin J Shivani

Abhishek R Appu

Joydeep Ray

Prasoonkumar Surti

Karthik Vaidyanathan

Carsten Benthin

James A Valerio

Mike MacPherson

Sven Woop

Mike B Macpherson

Jiasheng Chen

Pratik J Ashar

Tomasz Bujewski

One embodiment provides a graphics processor including a processing resource including a register file, memory, a cache memory, and load/store/cache circuitry to process load, store, and prefetch messages from the processing resource. The circuitry includes support for an immediate address offset that will be used to adjust the address supplied for a memory access to be requested by the circuitry. Including support for the immediate address offset removes the need to execute additional instructions to adjust the address to be accessed prior to execution of the memory access instruction.

Immediate offset of load store and atomic instructions

Embodiments described herein provided for an instruction and associated logic to enable GPGPU program code to access special purpose hardware logic to accelerate dot product operations. One embodiment provides for a graphics processing unit comprising a fetch unit to fetch an instruction for execution and a decode unit to decode the instruction into a decoded instruction. The decoded instruction is a matrix instruction to cause the graphics processing unit to perform a parallel dot product operation. The GPGPU also includes systolic dot product circuitry to execute the decoded instruction across one or more SIMD lanes using multiple systolic layers, wherein to execute the decoded instruction, a dot product computed at a first systolic layer is to be output to a second systolic layer, wherein each systolic layer includes one or more sets of interconnected multipliers and adders, each set of multipliers and adders to generate a dot product.

Instruction and logic for systolic dot product with accumulate

Embodiments described herein provided for an instruction and associated logic to enable GPGPU program code to access special purpose hardware logic to accelerate dot product operations. One embodiment provides for a graphics processing unit comprising a fetch unit to fetch an instruction for execution and a decode unit to decode the instruction into a decoded instruction. The decoded instruction is a matrix instruction to cause the graphics processing unit to perform a parallel dot product operation. The GPGPU also includes a systolic dot product unit to execute the decoded instruction across one or more SIMD lanes using multiple systolic layers, wherein to execute the decoded instruction, a dot product computed at a first systolic layer is to be output to a second systolic layer, wherein each systolic layer includes one or more sets of interconnected multipliers and adders, each set of multipliers and adders to generate a dot product.

An processor to facilitate register sharing is disclosed. The processor includes a plurality of execution units (EUs), each including a General Purpose Register File (GRF) having a plurality of registers; and register sharing hardware to divide the plurality of registers into a first set of registers dedicated for execution of a first set of threads and a second set of registers shared for execution of a second set of threads.

Register sharing mechanism

Embodiments described herein provide a graphics processor in which dependency tracking hardware is simplified via the use of compiler provided software scoreboard information. In one embodiment the shader compiler for shader programs is configured to encode software scoreboard information into each instruction. Dependencies can be evaluated by the shader compiler and provided as scoreboard information with each instruction. The hardware can then use the provided information when scheduling instructions. In one embodiment, a software scoreboard synchronization instruction is provided to facilitate software dependency handling within a shader program. Using software to facilitate software dependency handling and synchronization can simplify hardware design, reducing the area consumed by the hardware. In one embodiment, dependencies can be evaluated by the shader compiler instead of the GPU hardware. The compiler can then insert a software scoreboard sync immediate instruction into compiled program code to manage instruction dependencies and prevent data hazards from occurring.

Software scoreboard information and synchronization

Growing community of inventors

San Jose, CA, United States of America

Weiyu Chen