CIS5650-Fall-2024 · JHawk0224 · Aug 30, 2024 · Aug 30, 2024 · Aug 30, 2024 · Aug 30, 2024
diff --git a/.gitignore b/.gitignore
diff --git a/README.md b/README.md
@@ -1,13 +1,60 @@
 Project 0 Getting Started
-====================
+=========================
 
 **University of Pennsylvania, CIS 5650: GPU Programming and Architecture, Project 0**
 
-* (TODO) YOUR NAME HERE
-  * (TODO) [LinkedIn](), [personal website](), [twitter](), etc.
-* Tested on: (TODO) Windows 22, i7-2222 @ 2.22GHz 22GB, GTX 222 222MB (Moore 2222 Lab)
+* Jordan Hochman
+  * [LinkedIn](https://www.linkedin.com/in/jhochman24), [Personal Website](https://jordanh.xyz), [GitHub](https://github.com/JHawk0224)
+* Tested on: Windows 11, Ryzen 7 5800 @ 3.4GHz 32GB, GeForce RTX 3060 Ti 8GB (Compute Capability: 8.6)
 
-### (TODO: Your README)
+## Welcome to my Project 0!
 
-Include screenshots, analysis, etc. (Remember, this is public, so don't put
-anything here that you don't want to share with the world.)
+This project is just to check the system readiness of my GPU and computer. This `README.md` follows along with the instructions in `INSTRUCTION.md`, and the images and reports from each section will be given below. The system information that these reports were gathered from is mentioned above.
+
+### Part 2.1.1: Compute Capability of CUDA-compatible GPU
+
+As you can see above, the [compute capability (SM)](https://developer.nvidia.com/cuda-gpus) of my GPU (NVIDIA GeForce RTX 3060 Ti) is 8.6.
+
+### Part 2.1.2: Running the CUDA Project
+
+Below is the image generated by running the CUDA project (`cuda-getting-started`) included in this repository:
+
+![](images/getting_started_image.png)
+
+### Part 2.1.3: Nsight Debugging
+
+Below is the image of running the [Nsight Debugger](https://docs.nvidia.com/nsight-visual-studio-edition/index.html) on the CUDA project. It includes the information from the *Autos* window and the *Warp Info* window.
+
+![](images/debugging_image.png)
+
+### Part 2.1.4: Nsight Systems
+
+Here are the images of running [Nsight Systems](https://docs.nvidia.com/nsight-systems/UserGuide/index.html) on my computer while running the CUDA project. The first one is from the *Analysis Summary* tab, and the second one is from the *Timeline* tab. The entire generated report is available [here](reports/nsight_systems_report.nsys-rep) as `reports/nsight_systems_report.nsys-rep`.
+
+![](images/nsight_systems_summary_image.png)
+
+![](images/nsight_systems_timeline_image.png)
+
+### Part 2.1.5: Nsight Compute
+
+Here are the images of running [Nsight Compute](https://docs.nvidia.com/nsight-compute/) on my computer while running the CUDA project. The first one is from the *Summary* tab, and the second one is from the *Details* tab. The entire generated report is available [here](reports/nsight_compute_output.ncu-rep) as `reports/nsight_compute_output.ncu-rep`.
+
+![](images/nsight_compute_summary_image.png)
+
+![](images/nsight_compute_details_image.png)
+
+### Part 2.2: WebGL
+
+Here are the screenshots for checking the status of WebGL support on my computer. The first one is from https://webglreport.com and the second one is from chrome:\\\\gpu. You can see that WebGL is supported on my machine, and the generated report from `chrome:\\gpu` is available [here](reports/about-gpu.txt) as `reports/about-gpu.txt`.
+
+![](images/chrome_webglreport_image.png)
+
+![](images/chrome_gpu_image.png)
+
+### Part 2.3: WebGPU
+
+Here are the screenshots for checking the status of WebGPU support on my computer. The first one is from https://webgpureport.org and the second one is from the `cornell` sample on https://webgpu.github.io/webgpu-samples/. You can see that WebGPU is supported on my machine, and the generated report from `https://webgpureport.org` is available [here](reports/webgpureport.txt) as `reports/webgpureport.txt`.
+
+![](images/webgpu_report_image.png)
+
+![](images/webgpu_sample_image.png)
diff --git a/cuda-getting-started/src/main.cpp b/cuda-getting-started/src/main.cpp
@@ -10,8 +10,7 @@
  * C main function.
  */
 int main(int argc, char* argv[]) {
-    // TODO: Change this line to use your name!
-    m_yourName = "TODO: YOUR NAME HERE";
+    m_yourName = "Jordan Hochman";
 
     if (init(argc, argv)) {
         mainLoop();

diff --git a/images/chrome_gpu_image.png b/images/chrome_gpu_image.png
diff --git a/images/chrome_webglreport_image.png b/images/chrome_webglreport_image.png
diff --git a/images/debugging_image.png b/images/debugging_image.png
diff --git a/images/getting_started_image.png b/images/getting_started_image.png
diff --git a/images/nsight_compute_details_image.png b/images/nsight_compute_details_image.png
diff --git a/images/nsight_compute_summary_image.png b/images/nsight_compute_summary_image.png
diff --git a/images/nsight_systems_summary_image.png b/images/nsight_systems_summary_image.png
diff --git a/images/nsight_systems_timeline_image.png b/images/nsight_systems_timeline_image.png
diff --git a/images/webgpu_report_image.png b/images/webgpu_report_image.png
diff --git a/images/webgpu_sample_image.png b/images/webgpu_sample_image.png
diff --git a/reports/about-gpu.txt b/reports/about-gpu.txt
diff --git a/reports/nsight_compute_output.ncu-rep b/reports/nsight_compute_output.ncu-rep
diff --git a/reports/nsight_systems_report.nsys-rep b/reports/nsight_systems_report.nsys-rep
diff --git a/reports/webgpureport.txt b/reports/webgpureport.txt
@@ -0,0 +1,105 @@
+WebGPU Report  
+
+#1 high-performance  
+=====================  
+
+adapter info:  
+---------------  
+* architecture: ampere  
+* description 
+* device 
+* vendor:       nvidia  
+
+flags:  
+--------  
+* isFallbackAdapter: false  
+
+limits: 
+-------------------------------  
+* maxBindGroups:                             4
+* maxBindGroupsPlusVertexBuffers:            24  
+* maxBindingsPerBindGroup:                   1000  
+* maxBufferSize:                             2147483648 (2gb)  
+* maxColorAttachmentBytesPerSample:          128b  
+* maxColorAttachments:                       8
+* maxComputeInvocationsPerWorkgroup:         1k  
+* maxComputeWorkgroupSizeX:                  1k  
+* maxComputeWorkgroupSizeY:                  1k  
+* maxComputeWorkgroupSizeZ:                  64  
+* maxComputeWorkgroupStorageSize:            32768 (32k)  
+* maxComputeWorkgroupsPerDimension:          65535 (64k)  
+* maxDynamicStorageBuffersPerPipelineLayout: 8
+* maxDynamicUniformBuffersPerPipelineLayout: 10  
+* maxInterStageShaderComponents:             112  
+* maxInterStageShaderVariables:              28  
+* maxSampledTexturesPerShaderStage:          16  
+* maxSamplersPerShaderStage:                 16  
+* maxStorageBufferBindingSize:               2147483644 (2gb)  
+* maxStorageBuffersPerShaderStage:           10  
+* maxStorageTexturesPerShaderStage:          8
+* maxTextureArrayLayers:                     2048 (2k)  
+* maxTextureDimension1D:                     16384 (16k)  
+* maxTextureDimension2D:                     16384 (16k)  
+* maxTextureDimension3D:                     2048 (2k)  
+* maxUniformBufferBindingSize:               65536 (64k)  
+* maxUniformBuffersPerShaderStage:           12  
+* maxVertexAttributes:                       30  
+* maxVertexBufferArrayStride:                2048 (2k)  
+* maxVertexBuffers:                          8
+* minStorageBufferOffsetAlignment:           256b  
+* minUniformBufferOffsetAlignment:           256b  
+
+features: 
+---------------------------------  
+* bgra8unorm-storage  
+* depth-clip-control  
+* depth32float-stencil8  
+* float32-filterable  
+* indirect-first-instance  
+* rg11b10ufloat-renderable  
+* shader-f16  
+* texture-compression-bc  
+* timestamp-query  
+
+WGSL language features:  
+-------------------------  
+* packed_4x8_integer_dot_product  
+* pointer_composite_access  
+* readonly_and_readwrite_storage_textures  
+* unrestricted_pointer_parameters  
+
+misc:  
+-------  
+* fallback adapter:         not supported  
+* getPreferredCanvasFormat: bgra8unorm  
+
+dedicated workers:  
+====================  
+* webgpu API:                 exists  
+* requestAdapter:             successful  
+* requestDevice:              successful  
+* getContext("webgpu"):       successful  
+* requestAnimationFrame:      successful  
+* transferControlToOffscreen: successful  
+* OffscreenCanvas:            successful  
+* CanvasRenderingContext2D:   successful  
+
+shared workers:  
+=================  
+* webgpu API:                 exists  
+* requestAdapter:             successful  
+* requestDevice:              successful  
+* getContext("webgpu"):       successful  
+* transferControlToOffscreen: successful  
+* OffscreenCanvas:            successful  
+* CanvasRenderingContext2D:   successful  
+
+service workers:  
+==================  
+* webgpu API:                 exists  
+* requestAdapter:             successful  
+* requestDevice:              successful  
+* getContext("webgpu"):       successful  
+* transferControlToOffscreen: successful  
+* OffscreenCanvas:            successful  
+* CanvasRenderingContext2D:   successful