Chemical process simulations are crucial for optimizing industrial operations, but they often require significant ...

The 2025 Smart Driving Intelligent Computing Data Platform Development Research Report. The report consists of: 29 pages. Core Summary of the 2025 Smart Driving I ...

With support and funding from Intel, research at the new center will use high performance parallel computing to solve problems in finance. Researchers will develop computational algorithms and ...

A team from the Chinese Academy of Sciences developed a parallel optical computing architecture with 100 wavelengths, pushing the boundary of computility.

The team designed a fully dynamic APSP algorithm in the MPC model with low round complexity that is faster than all the existing static parallel APSP algorithms. The proposed parallel fully ...

Important parallel algorithms and data structures will be discussed, including the notion of lock-free data structures. Note that this class lightly touches upon GPU programming; students primarily ...

System enables large speedups — as much as 88-fold — on common parallel-computing algorithms (MIT) A new system called Fractal achieves 88-fold speedups through a parallelism strategy known as ...

Parallel tempering is a generic Markov chain Monte Carlo sampling method which allows good mixing with multimodal target distributions, where conventional Metropolis-Hastings algorithms often fail.