[DB Seminar] Fall 2019 DB Group: Ankur Goyal

Speaker:

Ankur Goyal

In this talk, we will discuss the challenges of supporting traditional database operations (ingestion, schema design, querying) to the domain of visual data, i.e. images, videos, PDFs, etc. Recent innovations in artificial intelligence have enabled computers to "see" the same structure in visual data as humans. As a result, new systems are emerging which enable users and applications to manage... Read More

Fall 2019: Pat Helland (SalesForce)

Speaker:

Pat Helland

System:

SalesForce

This talk is a summary of my soon to be released column in ACM Queue titled "Write Amplification versus Read Perspiration". In this short discussion, we observe that there is a strong pattern in which writing data incurs and obligation to do more work to make it easy to read that data later. We frequently talk about write amplification to... Read More

Fall 2019: Rohit Agrawal (SalesForce)

Speaker:

Rohit Agrawal

System:

SalesForce

In this talk we discuss LSM compression for a KV store. In our KV store, we write to an underlying shared storage system that models data as named extents (up to 2GB) and variable-length fragments contained within the extent. Fragments are max of 1MB and are the atomic unit of read and write. Our KV store reads fragments into 64K... Read More

[DB Seminar] Fall 2019 DB Group: Alex Smola (Amazon)

Speaker:

Alex Smola

In this talk I will give a sample of some of the research done at AWS. In particular I will talk about some recent results in Reinforcement Learning using a combined on-policy and off-policy approach to obtain rapidly converging and sample efficient algorithms. The key idea in this work is to use propensity scoring and effective sample size reweighting to... Read More

[DB Seminar] Summer 2019 DB Group: Andy Pavlo

Speaker:

Andy Pavlo

The current research trend is on developing "learned" components to supplement and replace legacy components in database management systems (DBMSs). Such learned components use machine learning (ML) methods to identify non-trivial trends and correlations in the DBMS's runtime behavior. They then use this information to create execution strategies and data structures that are tailored to the application's access patterns. The... Read More

[DB Seminar] Summer 2019 DB Group: Chenyao Lou

Speaker:

Chenyao Lou

Title: NEVER use mmap for your database Abstract: MMAP can be used as the buffer pool manager for DBMSs. But is it good to use mmap for DBMSs? Chenyao is going to share evaluations for mmap, pitfalls in mmap, and methods to make mmap safe in existing DBMSs. Read More

[DB Seminar] Summer 2019: Lucas Lersch (TU Dresden)

Speaker:

Lucas Lersch

Non-volatile memory technologies (NVM) enable persistent media to be directly accessed by the CPU through its caches. The biggest challenge introduced by NVM is the little control the application has when persisting data. This stems from the fact that it is not possible to prevent data from being evicted from the CPU cache to NVM at arbitrary points in time,... Read More

[DB Seminar] Summer 2019 DB Group: Amadou Ngom

Speaker:

Amadou Ngom

Amadou will present this paper in this meeting: Title: SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning Authors: Immanuel Trummer, Junxiong Wang, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis Read More

[DB Seminar] Summer 2019 DB Group: Vivian Huang

Speaker:

Vivian Huang

Vivian will present this paper in this meeting: Title: Plan Stitch: Harnessing the Best of Many Plans Authors: Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya Read More

[DB Seminar] Summer 2019 DB Group: Perf Tutorial

In this DB group meeting, we are going to watch this perf tutorial together: https://www.youtube.com/watch?v=nXaxk27zwlk Read More