Architecture data support and diagrams added (#814)

* Architeture data support and diagrams added

* Architecture image added

* CDNA4 Image updated

* Review feedback incorporated

* CDNA 4 partition mode added

* Fei review feedback incorporated

docs/conceptual/performance-model.rst

@@ -1,7 +1,7 @@
 .. meta::
    :description: ROCm Compute Profiler performance model
    :keywords: Omniperf, ROCm Compute Profiler, ROCm, performance, model, profiler, tool, Instinct,
-              accelerator, AMD
+              accelerator, AMD, CDNA
 
 *****************
 Performance model
@@ -10,12 +10,148 @@ Performance model
 ROCm Compute Profiler makes available an extensive list of metrics to better understand
 achieved application performance on AMD Instinct™ MI-series accelerators
 including Graphics Core Next™ (GCN) GPUs like the AMD Instinct MI50, CDNA™
-accelerators like the MI100, and CDNA2 accelerators such as the MI250X, MI250,
-and MI210.
+accelerators like the MI100, CDNA2 accelerators such as the AMD Instinct MI250X, MI250,
+and MI210, CDNA3 accelerators such as the AMD Instinct MI300A, MI300X, MI325X, and CDNA4 accelerators such as MI350X and MI355X.
+
+The table provides key details and support available for the different architectures:
+
+✅: Supported
+❌: Unsupported
+
+**Architecture details**
+
+.. table::
+  :widths: 30 30 30 30 30
+
+  +-----------------+-----------+---------------------------------+-------------------------------------+-------------------------+
+  |Architecture     |CDNA       |CDNA 2                           |CDNA 3                               |CDNA 4                   |
+  +=================+===========+=================================+=====================================+=========================+
+  |Chip packaging   |Single Die |Two graphics Compute Dies (GCDs) |One logical processor with dozen     |Similar to CDNA3,        |
+  |                 |           |into single package.             |chiplets, configurable with partition|Multi-Die chiplet, but   |
+  |                 |           |                                 |modes.                               |with two I/O Dies (IODs) |
+  +-----------------+-----------+---------------------------------+-------------------------------------+-------------------------+
+  |Supported series |MI100      |MI200                            |MI300A                               |MI350X                   |
+  |                 |           +---------------------------------+-------------------------------------+-------------------------+
+  |                 |           |MI210                            |MI300X                               |MI355X                   |
+  |                 |           +---------------------------------+-------------------------------------+-------------------------+
+  |                 |           |MI250                            |MI325X                               |                         |
+  +-----------------+-----------+---------------------------------+-------------------------------------+-------------------------+
+  |Spatial partition|❌         |❌                               |Compute partition mode and           |Compute partition mode   |
+  |mode             |           |                                 |Memory partition mode                |and Memory partition mode|
+  +-----------------+-----------+---------------------------------+-------------------------------------+-------------------------+
+
+**Data type support**
+
+.. list-table::
+      :header-rows: 1
+
+      *
+        - Architecture
+        - FP32
+        - FP64
+        - FP16
+        - INT32 ADD/LOGIC/MAD
+        - INT8 DOT
+        - INT4 DOT
+        - FP32 GEMM
+        - FP64 GEMM
+        - FP16 GEMM
+        - BF16 GEMM
+        - INT8 GEMM
+        - Packed FP32
+        - TF32 GEMM
+        - FP8/BF8
+      *
+        - CDNA
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ❌
+        - ❌
+        - ❌
+        - ❌
+        - ❌
+        - ❌
+        - ❌
+      *
+        - CDNA2
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ❌
+        - ❌
+      *
+        - CDNA3
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+      *
+        - CDNA4
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ✅
+        - ❌
+        - ✅
 
 To best use profiling data, it's important to understand the role of various
-hardware blocks of AMD Instinct accelerators. This section describes each
-hardware block on the accelerator as interacted with by a software developer to
+hardware blocks of AMD Instinct accelerators. Refer to the following top level GPU architecture diagram to understand the hardware blocks of each architectures. 
+
+.. tab-set::
+
+  .. tab-item:: CDNA
+
+    .. image:: ../data/conceptual/CDNA.png
+      :alt: CDNA top level architecture diagram with zoomed view of Compute unit
+
+  .. tab-item:: CDNA2
+
+    .. image:: ../data/conceptual/CDNA2.png
+      :alt: CDNA2 top level architecture diagram with zoomed view of Compute unit
+
+  .. tab-item:: CDNA3
+
+    .. image:: ../data/conceptual/CDNA3.png
+      :alt: CDNA3 top level architecture diagram with zoomed view of Accelerator Complex Dies (XCDs)
+
+  .. tab-item:: CDNA4
+
+    .. image:: ../data/conceptual/CDNA4.png
+      :alt: CDNA4 top level architecture diagram
+
+This section describes each hardware block on the accelerator as interacted with by a software developer to
 give a deeper understanding of the metrics reported by profiling data. Refer to
 :doc:`/tutorial/profiling-by-example` for more practical examples and details on how
 to use ROCm Compute Profiler to optimize your code.
@@ -24,15 +160,12 @@ to use ROCm Compute Profiler to optimize your code.
 
 .. note::
 
-   In this chapter, **MI2XX** refers to any of the CDNA2 architecture-based AMD
+   In this documentation, **MI2XX** refers to any of the CDNA2 architecture-based MI200 series accelerators such as AMD
    Instinct MI250X, MI250, and MI210 accelerators interchangeably in cases
-   where the exact product at hand is not relevant.
+   where the exact product at hand is not relevant. For product details, see `AMD Instinct GPUs <https://www.amd.com/en/products/accelerators/instinct.html>`_.
 
    For a comparison of AMD Instinct accelerator specifications, refer to
-   :doc:`Hardware specifications <rocm:reference/gpu-arch-specs>`. For product
-   details, see the :prod-page:`MI250X <mi200/mi250x>`,
-   :prod-page:`MI250 <mi200/mi250>`, and :prod-page:`MI210 <mi200/mi210>`
-   product pages.
+   :doc:`Hardware specifications <rocm:reference/gpu-arch-specs>`.
 
 In this chapter, the AMD Instinct performance model used by ROCm Compute Profiler is divided into a handful of
 key hardware blocks, each detailed in the following sections: