From 5fdff45d0929beaccf6bc56f8f4c0d82baf10304 Mon Sep 17 00:00:00 2001 From: Ryan Marcus Date: Mon, 24 Aug 2020 16:11:47 -0400 Subject: [PATCH] Use quotes instead of codeblocks --- README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index d27ed58..022e96d 100644 --- a/README.md +++ b/README.md @@ -103,16 +103,16 @@ The optimizer will output a table, with each row representing an RMI configurati If you use this RMI implementation in your academic research, please cite the CDFShop paper: -``` -Ryan Marcus, Emily Zhang, and Tim Kraska. 2020. CDFShop: Exploring and Optimizing Learned Index Structures. In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data (SIGMOD '20). Association for Computing Machinery, New York, NY, USA, 2789–2792. DOI:https://doi.org/10.1145/3318464.3384706 -``` + +> Ryan Marcus, Emily Zhang, and Tim Kraska. 2020. CDFShop: Exploring and Optimizing Learned Index Structures. In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data (SIGMOD '20). Association for Computing Machinery, New York, NY, USA, 2789–2792. DOI:https://doi.org/10.1145/3318464.3384706 + If you are comparing a new index structure to learned approaches, or evaluating a new learned approach, please take a look at our [benchmark for learned index structures](https://learned.systems/sosd. For RMIs and learned index structures in general, one should cite the original paper: -``` -Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, and Neoklis Polyzotis. 2018. The Case for Learned Index Structures. In Proceedings of the 2018 International Conference on Management of Data (SIGMOD '18). Association for Computing Machinery, New York, NY, USA, 489–504. DOI:https://doi.org/10.1145/3183713.3196909 -``` + +> Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, and Neoklis Polyzotis. 2018. The Case for Learned Index Structures. In Proceedings of the 2018 International Conference on Management of Data (SIGMOD '18). Association for Computing Machinery, New York, NY, USA, 489–504. DOI:https://doi.org/10.1145/3183713.3196909 + This work is freely available under the terms of the MIT license.