Our group has published a new paper in the IEEE Transactions on Emerging Topics in Computing. In this study, we introduced Software-Defined Floating-Point (SDF) number formats designed to enhance the performance of the Belief Propagation (BP) algorithm, which is widely used in fields like machine learning, communications, and robotics. Traditional […]
Monthly archives: January 2025
4 posts
Two of our papers were accepted at IPDPS’25. Brian will present his work on improving the scalability of parallel molecular dynamics simulation. He has developed a novel way to reduce the scalability bottleneck that exists in the communication between those processes computing short-range forces vs those computing long-range forces. His […]
We have been fortunate to have 3 papers accepted at AAAI’25. Hung and colleagues will present their work on explainability of time series classification. InteDisUX aims to create explanations that are accessible and meaningful to users (real people) by identifying subsequences of the time series that provide positive or negative […]
DOI: 10.48550/arXiv.2501.06872PDF version This paper investigates the shared-memory Graph Transposition (GT) problem, a fundamental graph algorithm that is widely used in graph analytics and scientific computing. Previous GT algorithms have significant memory requirements that are proportional to the number of vertices and threads which obstructs their use on large graphs. […]