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Tag Archives:

Succinct on Apache Spark: Queries on Compressed RDDs

Posted on November 5, 2015 by Rachit Agarwal
Rachit Agarwal

tl;dr Succinct is a distributed data store that supports a wide range of point queries (e.g., search, count, range, random … Continue reading →

Tags: amp, Big Data, compression, query processing, range queries, scalability, search, spark, Succinct

Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning

Barzan Mozafari, Purna Sarkar, Michael Franklin, Michael Jordan, Sam Madden
VLDB 2015 (PVLDB Vol. 8, No. 2), Aug. 2015.
Tags: active learning, amp, crowdsourcing, databases, Machine Learning

How to Build A Bad Research Center

Posted on June 17, 2013 by Patterson
Patterson

The AMPLab is part of a Berkeley tradition of creating 5-year multidisciplinary projects that build prototypes to demonstrate the project … Continue reading →

Tags: amp, research center, research project

Leveraging Transitive Relations for Crowdsourced Joins

Jiannan Wang, Guoliang Li, Tim Kraska, Michael Franklin, Jianhua Feng
ACM SIGMOD Conference, Jun. 2013.
Tags: amp, crowdsourcing, query processing

Crowdsourced Enumeration Queries (Best Paper Award)

Beth Trushkowsky, Tim Kraska, Michael Franklin, Purna Sarkar
ICDE, Apr. 2013.
Tags: amp, Best Paper Award, crowdsourcing

DNA Processing Pipeline

Another effort related to genomics underway at the AMP Lab involves developing a variant calling pipeline.  Variant calling is the … Continue reading →

Tags: amp, application, Big Data, genomics

DNA Sequence Alignment with SNAP

As the cost of DNA sequencing continues to drop faster than Moore’s Law, there is a growing need for tools … Continue reading →

Tags: amp, application, Big Data, genomics, snap

Cancer Tumor Genomics: Fighting the Big C with the Big D

It may have been true once that expertise in computer science was needed only by computer scientists. But Big Data … Continue reading →

Tags: amp, application, Big Data, genomics


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