The resulting high-performance sparse inverse covariance matrix estimation algorithm enables processing high-dimensional data with arbitrary underlying structures at a scale that was previously intractable, e.g., 1.28 million dimensions (over 800 billion parameters) in under 21 minutes on 24,576 cores of a Cray XC30.
Google's Bigtable, which played the inspirational role for the column databases [74], is a compressed, high performance, scalable, sparse, distributed multi-dimensional database built over a number of technologies, such as Google File System (GFS) [75], a cluster management system, SSTable file format and Chubby [76].
Use high performance spark plugs.
His research interests include parallel computing, combinatorial scientific computing, high performance graph analysis, sparse matrix computations, computational genomics and neuroscience.
In addition, the results indicate that both of the steps require more sampling branches to maintain high performance when the wideband signal is less sparse.
This dissertation presents new techniques for solving large sparse unsymmetric linear systems on high performance computers, using Gaussian elimination with partial pivoting.
This in turn leads to a demand for high performance computational methods, particularly fast solvers for the large sparse nonlinear systems that result from implicit discretizations of the governing equations of the models.
SCADA Pro is a structural analysis and design technical software package which implements out-of-core direct and iterative sparse parallel solvers in order to provide high performance computing capabilities in real-world structural engineering.
In [14], a novel 2-D DOA estimation method using a sparse L-shaped array is proposed to obtain high performance and less complexity.
Benchmarking for FIR filtering, FFT, matrix multiplication, LU decomposition and sparse matrix vector multiplication shows that these coprocessor sharing policies yield high utilization, high performance and low energy per operation.
