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Name: Alex Gittens
Type: User
Location: Berkeley, CA
Alex Gittens's Projects
academicsite
Personal blog powered by Jekyll
agittens-thesis
topics in randomized numerical linear algebra
alchemist
an efficient Apache Spark-to-MPI interface for matrix algorithms
cramerchernoffmethod
Notes on the Cramer-Chernoff method for obtaining matrix eigenvalue inequalities
h5spark
Supporting Hierarchical Data Format and Rich Parallel I/O Interface in Spark
large-scale-climate
Compute EOFS for 3D climate data
largeclimatetohdf5
convert large climate dataset (~80TB) in multiple files to HDF5 format
low-rank-hadamard
approximation error bounds for low rank approximation of matrices using subsampled randomized hadamard transforms
matrix-sparsification
Approximation error bounds for randomized matrix sparsification in non-unitarily invariant norms
minimax-laplace-transform
A variational extension of the Matrix Laplace Transform technique to allow bounding all eigenvalues of sums of random matrices
nmfspark
nmf implementation in spark
nystrom-spectral-accuracy
Optimal spectral norm error bounds on the naive nystrom method (i.e. column-sampling)
nystrombestiary
Matlab code for experimenting with various SPSD Sketches
oceanconversion
code for converting ~2TB masked ocean data stored in multiple NetCDF files to a single hdf5 file
sc-2015
Randomized Linear Algebra (experiments for SC paper)
scala-to-python-transfer
Example code for using msgpack to save matrices (compressed and uncompressed) in Spark then load them into Python
spark-skylark-rfm-spectral-clustering
Using Spark + Skylark to do large-scale spectral clustering with random feature maps
starcluster
StarCluster is an open source cluster-computing toolkit for Amazon's Elastic Compute Cloud (EC2).
starcluster-configuration
My starcluster configurations and plugins to install various software
starcluster-spark-skylark
Support for spark and Skylark running together under StarCluster
test-scala-netcdf
test reading and writing netcdf files in scala using the netcdf-java binding
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