bibliography: Add carbon modeling

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     year={2019},
     month={Jun}
 }
+
+@inproceedings{ Carbon:Gupta,
+    author = {Gupta, Udit and Elgamal, Mariam and Hills, Gage and Wei, Gu-Yeon
+        and Lee, Hsien-Hsin S. and Brooks, David and Wu, Carole-Jean},
+    title = {ACT: designing sustainable computer systems with an architectural
+        carbon modeling tool},
+    year = {2022},
+    isbn = {9781450386104},
+    publisher = {Association for Computing Machinery},
+    address = {New York, NY, USA},
+    url = {https://hsienhsinlee.github.io/MARS/pub/isca2022.pdf},
+    doi = {10.1145/3470496.3527408},
+    abstract = {Given the performance and efficiency optimizations realized by
+        the computer systems and architecture community over the last decades,
+        the dominating source of computing's carbon footprint is shifting from
+        operational emissions to embodied emissions. These embodied emissions
+        owe to hardware manufacturing and infrastructure-related activities.
+        Despite the rising embodied emissions, there is a distinct lack of
+        architectural modeling tools to quantify and optimize the end-to-end
+        carbon footprint of computing. This work proposes ACT, an architectural
+        carbon footprint modeling framework, to enable carbon characterization
+        and sustainability-driven early design space exploration. Using ACT we
+        demonstrate optimizing hardware for carbon yields distinct solutions
+        compared to optimizing for performance and efficiency. We construct use
+        cases, based on the three tenets of sustainable design---Reduce, Reuse,
+        Recycle---to highlight future methods that enable strong performance
+        and efficiency scaling in an environmentally sustainable manner.},
+    booktitle = {Proceedings of the 49th Annual International Symposium on
+        Computer Architecture},
+    pages = {784–799},
+    numpages = {16},
+    keywords = {computer architecture, energy, manufacturing, mobile,
+        sustainable computing},
+    location = {New York, New York},
+    series = {ISCA '22}
+}