State-of-the-art molecular dynamics (MD) simulations generate massive datasets involving billion-vertex chemical bond networks, which makes data mining based on graph algorithms s...
Cheng Zhang, Bhupesh Bansal, Paulo S. Branicio, Ra...
As computer systems continue to become more powerful and comdo programs. High-level abstractions introduced to deal with complexity in large programs, while simplifying human reas...
Kevin J. Hoffman, Patrick Eugster, Suresh Jagannat...
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Background: The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control protein e...
We demonstrate how Field Programmable Gate Arrays (FPGAs) may be used to address the computing challenges associated with assembling genome sequences from recent ultra-high-through...
Kristian Stevens, Henry Chen, Terry Filiba, Peter ...