update scc23 publication

Author: mrhaoxx

content/publication/SCC23/index.md

@@ -0,0 +1,85 @@
+---
+title: 'Critique of “productivity, Portability, Performance: Data-Centric Python” by SCC Team From Zhejiang University'
+
+# Authors
+# If you created a profile for a user (e.g. the default `admin` user), write the username (folder name) here
+# and it will be replaced with their full name and linked to their profile.
+authors:
+  - Zihan Yang
+  - Yi Chen
+  - Kaiqi Chen
+  - Xingjian Qian
+  - Shaojun Xu
+  - Yun Pan
+  - Chong Zeng
+  - Jianhai Chen
+  - Yin Zhang
+  - Zeke Wang
+
+# Author notes (optional)
+# author_notes:
+#   - 'Equal contribution'
+#   - 'Equal contribution'
+
+date: '2023-11-17T00:00:00Z'
+# doi: '10.7498/aps.70.20210030'
+
+# Schedule page publish date (NOT publication's date).
+publishDate: '2023-01-01T00:00:00Z'
+
+# Publication type.
+# Legend: 0 = Uncategorized; 1 = Conference paper; 2 = Journal article;
+# 3 = Preprint / Working Paper; 4 = Report; 5 = Book; 6 = Book section;
+# 7 = Thesis; 8 = Patent
+publication_types: ['2']
+
+# Publication name and optional abbreviated publication name.
+publication: IEEE Transactions on Parallel and Distributed Systems
+# publication_short: In *ICW*
+
+abstract: In SC'21, Alexandros Nikolaos Ziogas et al. proposed a Data-Centric Python workflow in their DaCe paper. DaCe provides high productivity, performance, and portability with language extensions and automatic optimizations. We reproduce the performance evaluation results from the paper on both CPU and GPU on the Azure CycleCloud cluster. We also reproduce the scaling results with up to 32 nodes and 64 processes. Our results show that the proposed workflow in that paper has outstanding performance and scalability in the provided cluster, in accordance with the SC paper.
+
+# Summary. An optional shortened abstract.
+# summary: Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.
+
+tags: []
+
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+
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+
+url_pdf: ''
+url_code: ''
+url_dataset: ''
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+url_slides: ''
+url_source: ''
+url_video: ''
+
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+
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