Minor fix and update

.readthedocs.yaml

@@ -5,14 +5,19 @@
 # Required
 version: 2
 
+build:
+  os: ubuntu-22.04
+  tools:
+    python: "3.12"
+
 # Build documentation in the docs/ directory with Sphinx
 sphinx:
    configuration: docs/conf.py
 
+python:
+   install:
+      - requirements: docs/requirements.txt
+
 # Optionally build your docs in additional formats such as PDF
 formats:
    - pdf
-
-# Optionally set the version of Python and requirements required to build your docs
-python:
-   version: 3.7

CITATION.bib

@@ -0,0 +1,15 @@
+@inproceedings{lin2023drgpum,
+  title={DrGPUM: Guiding Memory Optimization for GPU-Accelerated Applications},
+  author={Lin, Mao and Zhou, Keren and Su, Pengfei},
+  booktitle={Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3},
+  pages={164--178},
+  year={2023},
+  isbn={9781450399180},
+  publisher={Association for Computing Machinery},
+  address={New York, NY, USA},
+  url={https://doi.org/10.1145/3582016.3582044},
+  doi={10.1145/3582016.3582044},
+  keywords={GPU profilers, Memory management, CUDA, GPUs},
+  location={Vancouver, BC, Canada},
+  series={ASPLOS 2023}
+}

LICENSE

@@ -1,7 +1,6 @@
 BSD 3-Clause License
 
-Copyright (c) 2020, Rice University and Scalable Machines Research
-All rights reserved.
+Copyright (c) 2020, University of California, Merced All rights reserved.
 
 Redistribution and use in source and binary forms, with or without
 modification, are permitted provided that the following conditions are met:

README.md

@@ -12,6 +12,8 @@ DrGPUM is a memory profiler for NVIDIA GPUs to explore memory inefficiencies in
 ```bash
 git clone --recursive /~https://github.com/Lin-Mao/DrGPUM.git && cd DrGPUM
 
+git submodule update --init --recursive
+
 # Specify PyTorch dir
 export PYTORCH_DIR=path_to_pytorch/torch
 
@@ -38,4 +40,4 @@ gvprof -v -e memory_liveness ./vectorAdd
 
 ## Papers
 
-- Mao Lin, Keren Zhou, and Pengfei Su. 2023. DrGPUM: Guiding Memory Optimization for GPU-accelerated Applications. In Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3 (ASPLOS ’23), March 25–29, 2023, Vancouver, BC, Canada. ACM, New York, NY, USA, 15 pages. https://doi.org/10.1145/3582016.3582044
+- Mao Lin, Keren Zhou, and Pengfei Su. 2023. [DrGPUM: Guiding Memory Optimization for GPU-accelerated Applications](https://doi.org/10.1145/3582016.3582044). In Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3 (ASPLOS ’23), March 25–29, 2023, Vancouver, BC, Canada. ACM, New York, NY, USA, 15 pages.

docs/conf.py

@@ -57,3 +57,6 @@
     '.txt': 'markdown',
     '.md': 'markdown',
 }
+
+html_theme = "sphinx_rtd_theme"
+html_theme_path = ["_themes", ]

docs/requirements.txt

@@ -0,0 +1,2 @@
+recommonmark
+sphinx-rtd-theme