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LSDA: Workshop on Large-Scale Data Analytics

Supercomputing 2013, Denver,CO

Workshop on Large-Scale Data Analytics (LSDA)

0830-1200 Friday, November 22, 2013

Organizers: Chaitan Baru, Natasha Balac

San Diego Supercomputer Center, UC San Diego

While advances in technology have led to an unprecedented ability to collect, compute, and store huge amounts of data, the ability to extract useful information from raw data is becoming progressively more challenging. Large-scale data analytics offers challenges along multiple dimensions. It requires the ability to deal with large volumes of data from diverse sources; field systems that perform well with diverse data and scale extremely well with increasing data volumes; design and build efficient and effective predictive models that can accommodate diverse data types; and develop benchmarks for systems and analytical processes to enable comparisons among alternative approaches at different data volumes. The Workshop on Large-Scale Data Analytics (LSDA) will provide a venue for discussing the challenges and solutions in this area, including keynote presentations, lightning talks, and a group discussion.


0830-0835  Welcome / Introduction

0835-0900   Distributed R for Big Data, Indrajit Roy, HP Labs

0900-0925   Scalable Parallel Density-based Clustering Algorithms, Md. Mostofa Ali Patwary, Intel Labs

0925–0950   Real-time Insights and Analytics on Big Data, Archana Ganapathi, Splunk

0950–1015   Break

1015–1040   Big Data Big Analytics: State of the Industry, Michael Helbraun, Revolution Analytics

1040-1105   The SeedMe Project, Amit Chourasia, SDSC

1105-1200   Data Science @ Pivotal, Kaushik Das, Pivotal

1200-1230   Panel Discussion