In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most distributed and parallel graph algorithms in the MPC model are designed for static ...

In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for ...

Torsten Hoefler from (ETH) Zürich gave this talk at the 2018 Swiss HPC Conference. "Deep Neural Networks (DNNs) are becoming an important tool in modern computing applications. Accelerating their ...

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 ...

While the algorithms are quite general, the tuning–involving optimisations such as tiling, vectorisation, and loop unrolling–is very platform specific. ... PhD student in the parallel and distributed ...

Distributed optimisation and algorithms form a vibrant field that addresses the challenge of coordinating multiple agents or nodes to collectively solve global optimisation problems. This domain ...

Will algorithms designed for interconnected computers hold up if some of the machines are not here on Earth but flying about in space, onboard satellites or spacecraft?

Quantum algorithm distributed across multiple processors for the first time—paving the way to quantum supercomputers. by University of Oxford ...

While the algorithms are quite general, the tuning–involving optimisations such as tiling, vectorisation, and loop unrolling–is very platform specific. ... PhD student in the parallel and distributed ...