DOE Randomized Algorithms for Combinatorial Scientific ComputingPlease see the full solicitation for complete information about the funding opportunity. Below is a summary assembled by the Research & ...

The use of naturally occurring systems for massively parallel computing could change the nature of encryption methods, allow computers to connect with living tissue, and allow for computational ...

More information: Picasso S M Ferdous et al, Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing, 2024 IEEE International Parallel and Distributed ...

CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units).

As quantum computing technology continues to advance, MicroAlgo's multi-simulator collaborative subgraph isomorphism algorithm is expected to play a key role in more application areas.

DNA computers have to date only been able to run one algorithm, but a new design shows how these machines can be made more flexible—and useful.

A new technical paper titled “Computing high-degree polynomial gradients in memory” was published by researchers at UCSB, HP Labs, Forschungszentrum Juelich GmbH, and RWTH Aachen University. Abstract ...

The core concept of MicroAlgo's multi-simulator collaborative subgraph isomorphism algorithm is to decompose large quantum circuits into multiple smaller sub-circuits, leveraging parallel and ...