Parallel algorithms for singular value decomposition (SVD) have risen to prominence as an indispensable tool in high-performance numerical linear algebra. They offer significant improvements in the ...
In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for static ...
Source: MIT/ CSAIL: Suvinay Subramanian, Mark C. Jeffrey, Maleen Abeydeera, Hyun Ryong Lee, Victor A. Ying, Joel Emer, Daniel Sanchez As is commonly known, the chips in most modern desktop computers ...
This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...
I am a Professor in the Department of Computer Science at California State University, Sacramento (CSUS). I joined CSUS in 2015. I obtained my Ph.D in Computer Science from the University of ...
The sequential EDA algorithms of old cannot keep pace with increasing design complexity, which is driving the industry to look at parallelism and other computational architectures such as the ...
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