ADD rename artifact phrase

.github/workflows/release.yml

@@ -68,6 +68,11 @@ jobs:
         command: build
         args: --release --target ${{ matrix.target }}
 
+    - name: Rename artifact
+      run: |
+        mv target/${{ matrix.target }}/release/core-to-core-latency-plus target/${{ matrix.target }}/release/${{ matrix.artifact_name }}
+      shell: bash
+
     - name: Upload artifact
       uses: actions/upload-artifact@v4
       with:

Cargo.toml

@@ -5,7 +5,7 @@ authors = ["Karminski <[email protected]>"]
 repository = "https://github.com/KCORES/core-to-core-latency-plus"
 license = "MIT"
 readme = "README-en-us.md"
-version = "0.1.15"
+version = "0.1.16"
 edition = "2021"
 exclude = ["/results"]
 

README-en-us.md

@@ -41,6 +41,8 @@ Note that the --upload option will upload your benchmark results to [https://cor
 
 You can view your results and generate a heatmap using the link generated after the upload is complete.
 
+Considering the substantial size of the historical benchmark dataset (creating a Jupyter Notebook from the "results" folder results in a file of approximately 170MB), we highly recommend uploading the data to the platform for immediate heatmap visualization. For offline access to historical data, please consult [History Results](./results/results.ipynb).
+
 #### install with cargo and run
 
 ```

README.md

@@ -39,7 +39,9 @@ core-to-core-latency-plus.exe -b 1 --upload
 
 注意, --upload 选项会上传您的 benchmark 结果到 [https://core-to-core-latency.kcores.com](https://core-to-core-latency.kcores.com).  
 
-您可以根据上传完毕后生成的链接来查看您的结果并生成 heapmap.
+您可以根据上传完毕后生成的链接来查看您的结果并生成 heapmap. 
+
+由于 history benchmark 结果过大 (results 文件夹内的内容生成 jupyter notebook 会达到 170MB), 因此强烈建议上传 benchmark 结果到该网站并实时生成 heapmap. 如果您需要手动查看历史结果可以访问 [History Results](./results/results.ipynb).
 
 
 #### 使用 cargo 安装并运行