SQream DB – Bigger data on GPUs: Approaches, Challenges, Successes (Jake Wheat)

Speaker:

Jake Wheat

System:

SQream

Video:

YouTube

This talk will present SQream's journey to building an analytics data warehouse powered by GPUs. SQream DB is an SQL data warehouse designed for larger than main-memory datasets (up to petabytes). It's an on-disk database that combines novel ideas and algorithms to rapidly analyze trillions of rows with the help of high-throughput GPUs. We will explore some of SQream's ideas... Read More

[DB Seminar] Fall 2018: System Design Planning

More design discussion of the new DBMS. Read More

Fast Software for Fast Hardware: How Analytics Platform MapD Exploits the Massive Parallelism of GPUs (Todd Mostak)

Speaker:

Todd Mostak

System:

MapD

Video:

YouTube

In this talk Todd Mostak, Founder and CEO of MapD Technologies, will speak about the technical underpinnings of MapD, an open-source GPU-accelerated SQL engine and visual analytics platform that enables querying and visualization of large datasets (tens of billions of records) in milliseconds, without indexing or or other forms of pre-computation. While some of this performance can be attributed to... Read More

[DB Seminar] Fall 2018: System Design Planning with Prashanth Menon

Speaker:

Prashanth Menon

This meeting will be entirely about discussing the design and implementation of CMU's new DBMS. The focus will be on how we combine the new storage manager with the beautiful Prashanth Menon's LLVM execution engine. Read More

Molham Aref (Relational AI)

Speaker:

Molham Aref

System:

RelationalAI

In this talk, I will summarize our work on in-database solvers for relational machine learning and artificial intelligence. We implement a declarative query language that offers support for model (or instance) finding. The capability is used to express predictive and prescriptive analytics. The presentation gives an overview of the platform and the language. In particular, it focuses on the use... Read More

Pat Helland (Salesforce)

Speaker:

Pat Helland

System:

SalesForce

Applications have had an interesting evolution as they have moved into the distributed and scalable world. Similarly, storage and its cousin databases have changed side by side with applications. Many times, the semantics, performance, and failure models of storage and applications do a subtle dance as they change in support of changing business requirements and environmental challenges. Adding scale to... Read More

Thinking Outside the Base: GPU-Accelerated Analytics with Kinetica (Nima Negahban)

Speaker:

Nima Negahban

System:

Kinetica

Video:

YouTube

Widespread digital transformation and the explosion of the Internet of Things has led to a dramatic increase in the volume, complexity and unpredictability of data. This has created a need for converged solutions that require a new combination of processing capabilities that are not met by traditional OLTP and OLAP implementation approaches. The challenge set by modern enterprise is to... Read More

[DB Seminar] Fall 2018: Andy Pavlo

Speaker:

Andy Pavlo

Andy will regale everyone with stories from the summer and CMU-DB research plans for the next year. Read More

[DB Seminar] Summer 2018: Nikos R. Katsipoulakis

Speaker:

Nikos R. Katsipoulakis

The increasing need for real-time data processing has triggered the rapid evolution of distributed Stream Processing Engines (dSPEs). In a dSPE, data are processed as soon as they become available and queries execute continuously. Low operational cost and timely processing can become a challenge for a dSPE, considering the volatile and uncharted nature of input streams. This calls for adaptable... Read More

[DB Seminar] Spring 2018: Ziqi Wang

Speaker:

Ziqi Wang

Read More