We push the boundaries of knowledge in computer science, statistics, and finance.
We constantly draw ideas and inspiration from the broader math, science, and investment communities. Sharing some of our own discoveries through technical publications and presentations is just one way of giving back.
Sign up to receive the latest Insights posts in your inbox.
ABRA is a suite of algorithms to compute and maintain probabilistically-guaranteed, high-quality, approximations of the betweenness centrality of all nodes (or edges) on both static and fully dynamic graphs.
The authors lay out the fundamental concepts behind OCR–a new runtime system designed to meet the needs of extreme-scale computing–and compare OCR performance to that from MPI for two simple benchmarks.