1 | |||
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2 | |||
3 | In 2022-2023, we re-purposed CSE590Q toward an interdisciplinary "Data Science Lab" seminar | ||
4 | |||
5 | Fall 2022 | ||
6 | Winter 2023 | ||
7 | Spring 2023 |
1 | CSE590q: Reading Seminar in Databases | ||||||
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2 | Mondays @ 1:30pm Topic: Video Analytics | ||||||
3 | |||||||
4 | Date | Topic | Presenter(s) | Paper | Slides | Notes | Slides |
5 | 1/3/2022 | Intro (by zoom: see the uwdb calendar) | Magda | ||||
6 | 1/10/2022 | NO MEETING | |||||
7 | 1/17/2022 | MLK Day -- will makeup at a later date TBD | |||||
8 | 1/24/2022 | Basic events | Maureen | ||||
9 | 1/28/2022 | Friday (makeup in 591D) Trajectory queries | Enhao | OTIF: Efficient Tracker Pre-processing over Large Video Datasets | |||
10 | 1/31/2022 | Storage | Kyle | VStore: A Data Store for Analytics on Large Videos | |||
11 | 2/7/2022 | Edge computing | Dong | Server-Driven Video Streaming for Deep Learning Inference | |||
12 | 2/14/2022 | Cloud/streaming | Eric | SVE: Distributed Video Processing at Facebook Scale | |||
13 | 2/21/2022 | Holiday: NO MEETING | |||||
14 | 2/25/2022 | Friday (makeup in 591D) | Esteban will give a 591D talk (registered in the 591D spreadsheet) | ||||
15 | 2/28/2022 | Data drift | Jeffrey | ODIN: Automated Drift Detection and Recovery in Video Analytics | |||
16 | 3/7/2022 | Cloud computing | Aamir | Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines | |||
17 | |||||||
18 | Readings | ||||||
19 | Basic events (specialized NNs): BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics | ||||||
20 | Trajectory queries: OTIF: Efficient Tracker Pre-processing over Large Video Datasets | ||||||
21 | Complex events: Caesar: Cross-camera Complex Activity Recognition | ||||||
22 | |||||||
23 | Edge computing: Server-Driven Video Streaming for Deep Learning Inference | ||||||
24 | |||||||
25 | Cloud/streaming: SVE: Distributed Video Processing at Facebook Scale | ||||||
26 | |||||||
27 | Contact: | ||||||
28 | Enhao Zhang | enhaoz@cs.washington.edu | |||||
29 | Maureen Daum | mdaum@cs.washington.edu | |||||
30 | |||||||
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38 |
1 | CSE590q: Reading Seminar in Databases | ||||||
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2 | Mondays @ 11:00am until 4/12, 9:00am from 4/19; by zoom Topic: Discuss upcoming papers in SIGMOD/PODS/VLDB/MLSYS 2021 | ||||||
3 | |||||||
4 | Date | Topic | Presenter(s) | Paper | Slides | Notes | Slides |
5 | 4/5/2021 | Organizational | |||||
6 | 4/12/2021 | Invited Talk | Aaron Elmore | CrocodileDB: Resource Efficient Database Execution | |||
7 | 4/19/2021 | Dong's Quals Talk | Dong He | DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation | |||
8 | 4/26/2021 | Distributed Computing Invariants | Kyle | Interactive Checks for Coordination Avoidance | |||
9 | 5/3/2021 | something from VLDB | Moe + Remy | From natural language processing to neural databases | |||
10 | 5/10/2021 | SQL Procedures Performance Analysis | Anton | Procedural Extensions of SQL: Understanding their usage in the wild | |||
11 | 5/17/2021 | Enhao + Maureen | Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics | ||||
12 | 5/24/2021 | Invited Talk | Tim Kraska | TBA | |||
13 | 5/31/2021 | Holiday | Holiday | ||||
14 | 6/7/2021 | NO SEMINAR | |||||
15 | |||||||
16 | |||||||
17 | |||||||
18 | Resources: | ||||||
19 | SIGMOD accepted papers | ? | |||||
20 | PODS accepted papers | ||||||
21 | VLDB accepted papers | ||||||
22 | MLSys accpeted papers | ||||||
23 | MLSys top 5 paper awards | ||||||
24 | |||||||
25 | |||||||
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37 |
1 | ||||||
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2 | (Mondays @ 1:30 in DB lab, CSE 291 (Allen Center), unless noted otherwise) Topic: Readings from SIGMOD/VLDB/PODS | |||||
3 | ||||||
4 | Date | Topic | Presenter(s) | Paper 1 | Paper 2 | Paper 3? |
5 | 3/30/2020 | Organization | ||||
6 | 4/6/2020 | Remy | ||||
7 | 4/13/2020 | MIRIS: Fast Object Track Queries in Video | Dong | MIRIS: Fast Object Track Queries in Video | ||
8 | 4/20/2020 | Chenglong | Slides: https://docs.google.com/presentation/d/1x-2pl3pSD9TMFrCo-0vfOn9BOeLGx31s3yBybSykrKw/edit?usp=sharing | |||
9 | 4/27/2020 | Joins on Samples | Walter | |||
10 | 5/4/2020 | Maureen Quals Talk -- moved to May 14 | canceled | |||
11 | 5/11/2020 | Moe+Xinyue | ||||
12 | 5/18/2020 | cong | ||||
13 | 5/25/2020 | Memorial day | ||||
14 | 6/1/2020 | practice talk (1:30-3:30) or watch/discuss videos | Cong+Guna | |||
15 | ||||||
16 | ||||||
17 | ||||||
18 | ||||||
19 | Additional Material | |||||
20 | ||||||
21 | ||||||
22 | ||||||
23 | ||||||
24 | ||||||
25 | ||||||
26 | VLDB papers: | |||||
27 | PODS papers: | |||||
28 | SIGMOD papers: | ??? | ||||
29 | MIT DSAIL SIGMOD papers: | (only from the MIT group) | ||||
30 | ||||||
31 | Fusion paper in SIGMOD'2020 | |||||
32 | ||||||
33 | ||||||
34 | ||||||
35 | ||||||
36 | ||||||
37 | ||||||
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39 | ||||||
40 | ||||||
41 | Causal approach to fairness |
1 | ||||||
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2 | (Mondays @ 1:30 in DB lab, CSE 291 (Allen Center), unless noted otherwise) Topic: Responsible Data Management | |||||
3 | ||||||
4 | Date | Topic | Presenter(s) | Paper 1 | Paper 2 | Paper 3? |
5 | 1/13/2020 | Introduction | Dan | based on lecture1 of the NYU course (see below) | ||
6 | 1/20/2020 | HOLIDAY | ||||
7 | 1/27/2020 | Sources of unfairness | Khang+Maureen | Blog: How big data is unfair | COMPAS Story, ProPublica | |
8 | 2/3/2020 | Statistical definitions of discrimination | Sahil | Fairness Definitions Explained | Survey (working paper) | |
9 | 2/10/2020 | Impossibility results | Jack+Alex | Fair Prediction with Disparate Impact | ||
10 | 2/17/2020 | HOLIDAY | ||||
11 | 2/24/2020 | Critique of ML algorithms | Josh | |||
12 | 2/28/2020 | Principles of Interpretability | Mike (Friday) | The Mythos of Model Interpretability | ||
13 | 3/2/2020 | Two approaches for explanation | Remy | "Why Should I Trust You?" | ||
14 | 3/9/2020 | Building Interpretable models | Jonathan | Please Stop Explaining Black Box Models | An Interpretable Model | |
15 | ||||||
16 | Additional Material | |||||
17 | Must watch (if you haven't already) | Capuchin video | ||||
18 | Introduction | NYU Course on Reponsible Data Science | ||||
19 | ||||||
20 | Other seminars | |||||
21 | ||||||
22 | ||||||
23 | ||||||
24 | Equality of Opportunity in Supervised Learning | |||||
25 | ||||||
26 | ||||||
27 | ||||||
28 | Journalistic Investigations | |||||
29 | ||||||
30 | ||||||
31 | ||||||
32 | ||||||
33 | ||||||
34 | ||||||
35 | ||||||
36 | Northpointe's response to ProPublica | |||||
37 | ||||||
38 | ||||||
39 | ||||||
40 | Causal approach to fairness |
1 | ||||
---|---|---|---|---|
2 | (Mondays @ 2:30 in DB lab, CSE 405, unless noted otherwise) Topic: | |||
3 | ||||
4 | Date | Presenter(s) | Paper | Other notes |
5 | 4/1/2019 | |||
6 | 4/8/2019 | Moe, Maureen | XIangyao's papers: 1000 cores, TicToc | |
7 | 4/15/2019 | Shana | Ranked Enumeration of Minimal Triangulations | |
8 | 4/22/2019 | Jonathan | ShrinkWrap: Efficient SQL Query Processing in Differentially Private Data Federations. | |
9 | 4/29/2019 | Walter | DIFF: A Relational Interface for Large-Scale Data Explanation | |
10 | 5/6/2019 | Laurel | DeepBase | |
11 | 5/13/2019 | CANCELED | ||
12 | 5/20/2019 | TBD | TBD | |
13 | 5/27/2019 | Memorial day | ||
14 | 6/3/2019 | Brandon | HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines | |
15 | ||||
16 | ||||
17 | ||||
18 | Notes | we read papers from SIGMOD/PODS/VLDB'2019 | ||
19 | ||||
20 | VLDB'2019 | https://dblp.uni-trier.de/db/journals/pvldb/pvldb12.html | ||
21 | SIGMOD'2019 | http://sigmod2019.org/sigmod_research_papers_list | ||
22 | PODS'2019 | https://sigmod2019.org/pods_research_papers | ||
23 | ||||
24 | ||||
25 | VLDB | |||
26 | PODS | On the Enumeration Complexity of Unions of Conjunctive Queries |
1 | Data Management Reading Group CSE 590Q - Winter 2019 | |||
---|---|---|---|---|
2 | (Mondays @ 2:30 in DB lab, CSE 405, unless noted otherwise) Topic: | |||
3 | ||||
4 | Date | Presenter(s) | Paper | Other notes |
5 | 1/7/2019 | Introduction | ||
6 | 1/14/2019 | CANCELED | ||
7 | 1/18/2019 (Stolen from 591D) | Walter | In-Database Learning with Sparse Tensors | |
8 | 1/21/2019 | MLK day | ||
9 | 1/28/2019 | Guna | Transactions in relaxed memory architectures | |
10 | 2/4/2019 | Laurel | Ten years test of time: The Chase Revisited (read the 2008 paper) | |
11 | 2/11/2019 | Maureen | SQL's Three-Valued Logic and Certain Answers. ICDT 2015: 94-109 | |
12 | 2/18/2019 | Presidents day | ||
13 | 2/25/2019 | Maureen | SQL's Three-Valued Logic and Certain Answers. ICDT 2015: 94-109 | |
14 | 3/4/2019 | Cong+Remyi | Two-variable logic on data trees and XML reasoning + Synthesizing coupling proofs of differential privacy. | Cong slides |
15 | 3/11/2019 | Shana | Enumerating with constant delay the answers to a query. ICDT 2013 | slides |
16 | ||||
17 | ||||
18 | ||||
19 | NOTES | |||
20 | Suggested papers for this quarter. Feel free to browse the proceedins and select some other paper. | |||
21 | PODS | |||
22 | Ten years test of time: The Chase Revisited (read the 2008 paper) | read the 2008 paper, which is a classic | ||
23 | Abo Khamis, Ngo, Nguyen, Olteanu, Schleich: In-Database Learning with Sparse Tensors | dense, but very thorrough treatment of the interaction between DB and ML. Olteanu's 2016 SIGMOD paper could be a good warmup. | ||
24 | POPL | |||
25 | Transactions in relaxed memory architectures | theoretic model for reasoning about transactions | ||
26 | Synthesizing coupling proofs of differential privacy. | lots of math | ||
27 | Unifying analytic and statically-typed quasiquotes. | for scala fans (from Christoph Koch) | ||
28 | Others | |||
29 | Leonid Libkin: | SQL's Three-Valued Logic and Certain Answers. ICDT 2015: 94-109 | see also TODS 2016 | |
30 | Andrea Cerone, Alexey Gotsman | Analysing Snapshot Isolation, J. ACM 2018 | there is an earlier conference paper, could be easier read | |
31 | Rachid Guerraoui, Jingjing Wang: | How Fast can a Distributed Transaction Commit? | ||
32 | Luc Segoufin: | Enumerating with constant delay the answers to a query. ICDT 2013 | really cool and fundamental problem: we want to "stream" query answers, and guarantee constant dealy between each answer, when can we do that? Read both papers. Note that there are other papers by Segoufin on FO queries. | |
33 | Constant Delay Enumeration for Conjunctive Queries. SIGMOD Record, 2015 | |||
34 | Martin Grohe, Stephan Kreutzer, Sebastian Siebertz: | Deciding First-Order Properties of Nowhere Dense Graphs, JACM 2017 | To discuss in TWO seminars. Main takeawy is that we can process queries much more efficiently if the database is "nowhere dense", but what does no-where dense mean? | |
35 | Mikolaj Bojanczyk, Claire David, Anca Muscholl, Thomas Schwentick, Luc Segoufin: | Two-variable logic on data trees and XML reasoning, PODS 2006 | a deep, celebrated paper. Quite relevant today for JSon/Protobuf data, and languages like SQL++ etc. Should be easy and fun to read at the high level, much harder in detail. Check the journal version too | |
36 | Martin Grohe | Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks, Corr 2018 |
1 | Data Management Reading Group CSE 590Q - Fall 2018 | ||||
---|---|---|---|---|---|
2 | (Mondays @ 2:30 in DB lab, CSE 405, unless noted otherwise) Topic: Selected papers from DB + PL conferences | ||||
3 | |||||
4 | Presenter(s) | Paper | Other notes | ||
5 | 10/1/2018 | Maaz | MixT: a language for mixing consistency in geodistributed transactions. | ||
6 | 10/8/2018 | Shumo | Leonid Libkin: Certain Answers Meet Zero-One Laws. | ||
7 | 10/15/2018 | Laurel and Maureen | Kraska: The Case for Learned Index Structures | ||
8 | 10/22/2018 | SIGMOD deadline | |||
9 | 10/29/2018 | Guna | Bootstrapping Privacy Compliance in Big Data Systems | ||
10 | 11/5/2018 | Practice Talks (Colloqium) | Swap with 591d | ||
11 | 11/12/2018 | Veterans Holiday | |||
12 | 11/19/2018 | Shrainik | Selecting Subexpressions to Materialize at Datacenter Scale | ||
13 | 11/26/2018 | cong | SuRF: Practical Range Query Filtering with Fast Succinct Tries. | ||
14 | 12/3/2018 | Batya | Querying Probabilistic Preferences in Databases | ||
15 | |||||
16 | |||||
17 | |||||
18 | NOTES | ||||
19 | Edit link | ||||
20 | Suggested papers for this quarter. Feel free to browse the proceedins and select some other paper. | ||||
21 | SIGMOD | ||||
22 | Pavlo: SuRF: Practical Range Query Filtering with Fast Succinct Tries. | best paper award | |||
23 | Kraska: The Case for Learned Index Structures | the controversial paper... | |||
24 | Neumann: Adaptive Optimization of Very Large Join Queries | 1000 joins | |||
25 | PODS | ||||
26 | Yufei Tao: Entity Matching with Active Monotone Classification | best paper award; more ML than DB | |||
27 | Ten years test of time: The Chase Revisited (read the 2008 paper) | read the 2008 paper, which is a classic | |||
28 | Leonid Libkin: Certain Answers Meet Zero-One Laws. | lighweight and sweet (if you like probabilities and 0/1 laws) | |||
29 | Abo Khamis, Ngo, Nguyen, Olteanu, Schleich: In-Database Learning with Sparse Tensors | dense, but very thorrough treatment of the interaction between DB and ML. Olteanu's 2016 SIGMOD paper could be a good warmup. | |||
30 | VLDB | ||||
31 | Snorkel: Rapid Training Data Creation with Weak Supervision | a must read... | |||
32 | Relaxed Operator Fusion for In-Memory Databases: Making Compilation, Vectorization, and Prefetching Work Together At Last | ||||
33 | Analyzing the Impact of System Architecture on the Scalability of OLTP Engines for High-Contention Workloads. | ||||
34 | Contention-Aware Lock Scheduling for Transactional Databases. | ||||
35 | Quickstep: A Data Platform Based on the Scaling-Up Approach. | ||||
36 | Selecting Subexpressions to Materialize at Datacenter Scale | uses ILP to choose which expression to materialize | |||
37 | Plan Stitch: Harnessing the Best of Many Plans | ||||
38 | You Say 'What', I Hear 'Where' and 'Why'? (Mis-)Interpreting SQL to Derive Fine-Grained Provenance. | ||||
39 | Exploiting Coroutines to Attack the "Killer Nanoseconds". | how bad are pointers really? | |||
40 | PLDI | ||||
41 | MixT: a language for mixing consistency in geodistributed transactions. | ||||
42 | Spatial: a language and compiler for application accelerators. | for the hardware inclined | |||
43 | POPL | ||||
44 | Transactions in relaxed memory architectures | theoretic model for reasoning about transactions | |||
45 | Synthesizing coupling proofs of differential privacy. | lots of math | |||
46 | Unifying analytic and statically-typed quasiquotes. | for scala fans (from Christoph Koch) |
1 | Data Management Reading Group CSE 590Q - Fall 2017 | ||||
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2 | (Mondays @ 2:30 in DB lab, CSE 405, unless noted otherwise) Topic: Deep Learning Meets DB | ||||
3 | |||||
4 | Presenter(s) | Paper | Other notes | ||
5 | 10/2/2017 | Tomer | Database Meets Deep Learning: Challenges and Opportunities (SIGMOD Record 2016) | ||
6 | 10/9/2017 | Brandon | Optasia: A Relational Platform for Efficient Large-Scale Video Analytics (SoCC 16) | ||
7 | 10/16/2017 | Walter, Parmita | Cardinality estimation using neural networks (CASCON '15) | ||
8 | 10/23/2017 | Shana, Maaz | SystemML: Declarative Machine Learning on Spark | Slides! | |
9 | 10/30/2017 | cancelled for SIGMOD 11/2 deadline? | |||
10 | 11/6/2017 | ||||
11 | 11/13/2017 | Jenny, Shrainik | Resource Management with Deep Reinforcement Learning (HotNets 2016) | ||
12 | 11/20/2017 | Helga | Quals | ||
13 | 11/27/2017 | Visitor | |||
14 | 12/4/2017 | Guna, Laurel | TensorFlow: A System for Large-Scale Machine Learning (OSDI 2016) AND/OR Final wrap up Discussion | Slides | |
15 | |||||
16 | Colin Evans? | Ian Covert? | |||
17 | Dominik | ||||
18 | NOTES | ||||
19 | Edit link | ||||
20 | Suggested papers for this quarter: | ||||
21 | Type | ||||
22 | Database Meets Deep Learning: Challenges and Opportunities (SIGMOD Record 2016) | Gen | |||
23 | Cardinality estimation using neural networks (CASCON '15) | Using ML for DB | |||
24 | Resource Management with Deep Reinforcement Learning (HotNets 2016) | Using ML for Sys | |||
25 | NoScope: Optimizing Neural Network Queries over Video at Scale (VLDB 17) | ML Sys | |||
26 | Optasia: A Relational Platform for Efficient Large-Scale Video Analytics (SoCC 16) | ML Sys | |||
27 | Effective deep learning-based multi-modal retrieval (VLDB Journal 2016) | Using ML for IR | |||
28 | Project Adam: Building an Efficient and Scalable Deep Learning Training System (OSDI 2014) | ML Sys | |||
29 | Database Integration Using Neural Networks: Implementation and Experiences (2000) -- maybe? can't seem to find a copy | Using ML for DB | |||
30 | PyTorch : Case Study | ML Sys | |||
31 | White paper on Tensor Flow | ML Sys | |||
32 | Invite DL practitioners - small panel discussion? ask about their workflow, current data management hacks, empirical research etc. | Informal | |||
33 | SystemML | Shana |
1 | Joint DB & Systems Seminar CSE 590Q - Winter 2017 | |||
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2 | (Mondays @ 2:30 in DB lab, CSE 405, unless noted otherwise) Topic: transactions! | |||
3 | ||||
4 | Presenter(s) | Paper | Other notes | |
5 | ||||
6 | 1/9/2017 | Laurel and Tomer | Spanner: Google’s Globally-Distributed Database (OSDI'12) | |
7 | 1/16/2017 | MLK Day | ||
8 | 1/23/2017 | Maaz and Walter | An Evaluation of Distributed Concurrency Control (VLDB17) - Rachael Harding, Dana Van Aken, Andrew Pavlo, Michael Stonebraker, VLDB 17 | |
9 | 1/30/2017 | Guna and Brandon | High Performance Transactions via Early Write Visibility (VLDB 17)- Jose Faleiro, Daniel Abadi, Joseph Hellerstein | |
10 | 2/6/2017 | snow day | ||
11 | 2/13/2017 | Cong and Shrainik | Speedy Transactions in Multicore In-Memory Databases (SOSP'13) - Stephen Tu, Wenting Zheng, Eddie Kohler, Barbara Liskov, and Samuel Madden | |
12 | 2/20/2017 | Presidents Day | ||
13 | 2/27/2017 | Shumo and Helga | Transaction Healing: Scaling Optimistic ConcurrencyControl on Multicores (SIGMOD'16) - Yingjun Wu, Chee-Yong Chan, Kian-Lee Tan | |
14 | 2/27/2017 | Jenny and Parmita | TicToc: Time Traveling Optimistic Concurrency Control (SIGMOD'16) - Xiangyao Yu, Andrew Pavlo, Daniel Sanchez. Srinivas Devadas | |
15 | 3/6/2017 | Jialin/Ellis | Eris | |
16 | (moved to 3/10 591D) | Jingjing and Ryan | Coordination Avoidance in Database Systems (VLDB'15) - Peter Bailis, Alan Fekete, Michael J. Franklin, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica. | |
17 | ||||
18 | NOTES | |||
19 | Suggested papers for this quarter: | |||
20 | 1 (Laurel, Tomer) | Spanner: Google’s Globally-Distributed Database (OSDI'12) | ||
21 | 2 (Maaz, Walter) | An Evaluation of Distributed Concurrency Control (VLDB17) - Rachael Harding, Dana Van Aken, Andrew Pavlo, Michael Stonebraker, VLDB 17 http://www.vldb.org/pvldb/vol10/p553-harding.pdf | ||
22 | 3 (Guna, Brandon) | High Performance Transactions via Early Write Visibility (VLDB 17)- Jose Faleiro, Daniel Abadi, Joseph Hellerstein http://www.vldb.org/pvldb/vol10/p613-faleiro.pdf | ||
23 | 5a (Jenny, Parmita) | TicToc: Time Traveling Optimistic Concurrency Control (SIGMOD'16) - Xiangyao Yu, Andrew Pavlo, Daniel Sanchez. Srinivas Devadas | ||
24 | 4 (Cong, Shrainik) | Speedy Transactions in Multicore In-Memory Databases (SOSP'13) - Stephen Tu, Wenting Zheng, Eddie Kohler†, Barbara Liskov, and Samuel Madden | ||
25 | 5b (Shumo, Helga) | Transaction Healing: Scaling Optimistic ConcurrencyControl on Multicores (SIGMOD'16) - Yingjun Wu, Chee-Yong Chan, Kian-Lee Tan | ||
26 | 6 (Jingjing, Ryan) | Coordination Avoidance in Database Systems (VLDB'15) - Peter Bailis, Alan Fekete, Michael J. Franklin, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica. | ||
27 | 7 (Jialin and Ellis) | Eris: Coordination-Free Consistent Transactions using Network Multi-Sequencing (in progress) - Jialin Li, Ellis Michael, Dan R. K. Ports | ||
28 | ||||
29 | ||||
30 | ||||
31 | ||||
32 | ||||
33 | ||||
34 | No | 'Cause I'm strong enough: reasoning about consistency choices in distributed systems (POPL 16) Alexey Gotsman, Hongseok Yang, Carla Ferreira, Mahsa Najafzadeh, and Marc Shapiro | ||
35 | No | Declarative Programming over Eventually Consistent Data Stores (PLDI'15) - KC Sivaramakrishnan, Gowtham Kaki, Suresh Jagannathan | ||
36 | No | Transaction chains: achieving serializability with low latencyin geo-distributed storage systems (SOSP'13) - Yang Zhang, Russell Power, Siyuan Zhou, Yair Sovran, Marcos K. Aguilera, Jinyang Li | ||
37 | Serializable Isolation for Snapshot Databases (SIGMOD'08) - Michael J. Cahill, Uwe Rohm, Alan Fekete |
1 | Data Management Reading Group CSE 590Q - Fall 2016 | |||
---|---|---|---|---|
2 | (Mondays @ 2:30 in DB lab unless noted otherwise) Topic: potpourri! | |||
3 | ||||
4 | Presenter(s) | Paper | Other notes | |
5 | ||||
6 | 10/3/2016 | Organizational meeting | ||
7 | 10/10/2016 | Shumo and Walter | Paper 2 | |
8 | 10/17/2016 | Dom and Laurel | Paper 1a and 1b | |
9 | 10/24/2016 | Parmita and Jay | Paper 3 | |
10 | 10/31/2016 | Shrainik | Paper 7 | |
11 | 11/7/2016 | Ryan | Paper 8 | |
12 | 11/14/2016 | Brandon and Tomer | Paper 5 | |
13 | 11/21/2016 | Shana and Guna | Paper 9 | |
14 | 11/28/2016 | Jingjing and Jenny | Paper 4 | |
15 | 12/5/2016 | Cong and Maaz | Paper 6 | Shana quals talk @ 11am today |
16 | ||||
17 | NOTES | |||
18 | Papers for this quarter: | |||
19 | A. Approximate Query Processing: | |||
20 | 1 | Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang: Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee. SIGMOD Conference 2016: 679-694 | ||
21 | Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding: Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters. SIGMOD Conference 2016: 631-646 | |||
22 | ||||
23 | 2 | Feifei Li, Bin Wu, Ke Yi, Zhuoyue Zhao: Wander Join: Online Aggregation via Random Walks. SIGMOD Conference 2016: 615-629 | ||
24 | Walter is interested in wander join | |||
25 | 3 | Kai Zeng, Sameer Agarwal, Ion Stoica: iOLAP: Managing Uncertainty for Efficient Incremental OLAP. SIGMOD Conference 2016: 1347-1361 | ||
26 | ||||
27 | B. Databases on New Hardware: | |||
28 | ||||
29 | 4 | Rethinking Database Algorithms for Phase Change Memory, CIDR 2011 | ||
30 | ||||
31 | 5 | Let's Talk About Storage & Recovery Methods for Non-Volatile Memory Database Systems, SIGMOD 2015 | ||
32 | Brandon says "dibs" :) | |||
33 | 6 | Q100: the architecture and design of a database processing unit, ASPLOS 2014 | ||
34 | ||||
35 | C. Feature Selection on Normalized Data: | |||
36 | ||||
37 | 7 | Arun Kumar, Jeffrey F. Naughton, Jignesh M. Patel, Xiaojin Zhu: To Join or Not to Join?: Thinking Twice about Joins before Feature Selection. SIGMOD Conference 2016: 19-34 | ||
38 | Shrainik is interested in this | |||
39 | 8 | Maximilian Schleich, Dan Olteanu, Radu Ciucanu: Learning Linear Regression Models over Factorized Joins. SIGMOD Conference 2016: 3-18 | ||
40 | ||||
41 | 9 | Srinivas M. Aji, Robert J. McEliece: The generalized distributive law. IEEE Trans. Information Theory 46(2): 325-343 (2000) Mahmoud Abo Khamis, Hung Q. Ngo, Atri Rudra: FAQ: Questions Asked Frequently. PODS 2016: 13-28 | ||
42 | ^----< Shana is interested in these papers |
1 | Data Management Reading Group CSE 590Q - Spring 2016 | |||
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2 | Tentative Schedule (Mondays @ 4:30 in DB lab unless noted otherwise) Topic: Cool demos of recent DB systems / tools / theorems | |||
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4 | Speaker name | Demo | Other notes | |
5 | ||||
6 | 3/28/2016 | Some people absent... | ||
7 | 4/4/2016 | Laurel / Dominik | BlinkDB or some other summary system | |
8 | 4/11/2016 | Tianqi | Portable and Scalable Machine Learning on Cloud,Lessons and Thoughts | |
9 | 4/18/2016 | Parmita | Azure Data-lake and related analytics services from Azure Cloud | |
10 | 4/25/2016 | Ryan / Jingjing | DeepDream | |
11 | 5/2/2016 | Brandon Haynes / Shana H | TileDB / GenomicsDB | Slides |
12 | 5/9/2016 | Sven Dorkenwald | Tensorflow | |
13 | 5/16/2016 | (swapped with 590Q) | ||
14 | 5/20/2016 (Friday) | Helga | Jepsen (breaking distributed databases) | |
15 | 5/23/2016 | Jenny | Data Visualization with HoloLens | |
16 | 5/30/2016 | (memorial day) | ||
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18 | NOTES | |||
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