In-Database Analytics for Large Array Data
By Jack Dongarra,* Piotr Luszczek and Thomas Herault of the University of Tennessee, Knoxville Performing analytics inside a database gets progressively important. In the context of SciDB, the data model involves arrays either fully populated (dense) or with empty entries (sparse). Very … Continue reading →
Supercharging Big Data Research with New England’s Fastest Supercomputer
An Interview with Jeremy Kepner of MIT Lincoln Laboratory MIT recently announced that the MIT Lincoln Laboratory Supercomputing Center (LLSC) system, housed in Holyoke, Massachusetts, has been ranked the most powerful supercomputer in New England. We caught up with ISTC … Continue reading →
Compiling Queries for High-Performance Computing
By Brandon Myers and Bill Howe, University of Washington High performance computing (HPC) is traditionally about compute, but its users have data management problems, too. In a recent paper, we demonstrated a promising technique for bringing ad hoc query processing into … Continue reading →
TileDB and GenomicsDB Now Available in Open Source
by Stavros Papadopoulos, Intel Parallel Computing Lab The ISTC for Big Data has recently released TileDB, a novel efficient data management system for scientific data, such as graphs, DNA sequences, matrices, maps, and imaging. We have also released an adaptation of TileDB … Continue reading →
2015: Momentum, Moments and Memories
Greetings of the season from the Intel Science and Technology Center for Big Data. As 2015 comes to a close, we thought we would share some moments and memories that were captured here in the ISTC for Big Data blog … Continue reading →
Fast Data Analysis with SVD
By Jack Dongarra, University of Tennessee Knoxville and Innovative Computing Laboratory The GenBase benchmark was developed as a collaboration with the Intel Parallel Computing Lab, the Broad Institute and Novartis, and the MIT Database Group. Among many challenging tests that the benchmark includes is a computation of the Singular Value … Continue reading →
High-Performance Computing Meets Databases
By Bill Howe, Ph.D., University of Washington eScience Institute The large-scale data systems associated with high performance computing (HPC) applications ― e.g., parallel file systems ― are becoming increasingly “smart,” augmenting basic open(), seek() and read() interfaces with sophisticated indexing … Continue reading →
What’s New
- The Big Data ISTC: A Retrospection by Michael Stonebraker, Samuel Madden and Timothy Mattson
- In-Database Analytics for Large Array Data
- ISTC Researchers to Present Papers at VLDB 2017 Conference
- VisualCloud: A DBMS for Virtual Reality
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