Using Intel® Advanced Matrix Extensions with Intel® Compilers| Intel Software

Опубликовано 6 июня 2023, 19:41

Intel® Advanced Matrix Extensions have been newly introduced as a part of Intel® Xeon® Max Series CPUs and the 4th Gen Intel® Xeon® Scalable Processor. This video demonstrates how you can very easily and effectively take advantage of them to accelerate deep-learning training and inference using the Intel® oneAPI DPC++/C++ Compiler.

Joint Matrix Multiply and Addition operations are accelerated with Intel AMX with C/C++ APIs and intrinsics, providing ease of access and customization capabilities for your implementation.
This video demonstrates how you can easily and effectively use Intel Advanced Matrix Extensions to accelerate deep-learning training and inference using the Intel® oneAPI DPC++/C++ Compiler.

After introducing the Intel AMX architecture, the tile matrix multiplication accelerator engine, and supported data types INT8 and BFLOAT16, we will look into a specific code example.

Using GEMM for reference, the video describes how the matrix for Joint Matrix Multiply and Addition is initialized and executed. It goes into the C++ code flow, including namespace usage, SYCL heterogeneous compute extensions to C++, and exact syntax. In addition, we introduce system requirement checks and the assembly intrinsics that enable direct access to Intel AMX.

Lastly, in this video, the example code is compiled and executed, thus providing a detailed reproducible step-by-step approach to applying the exact same concepts to your Intel 4th Gen Xeon Scalable Processor-based deep learning workload.

Intel® oneAPI Toolkits: bit.ly/3mRBFAR

Intel® oneAPI DPC++/C++ Compiler:https:// bit.ly/3AbZAhq

Software for 4th Gen Intel® Xeon® and Intel® Max Series Processors: bit.ly/40hWrre

oneapi-src/oneAPI-samples: bit.ly/41FLosH

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Using Intel® Advanced Matrix Extensions with Intel® Compilers| Intel Software