24 citations · 27 across the 5 of their papers we have counts for
7 papers
Tensor Network Circuit Simulation at Exascale
John Brennan, Momme Allalen, David Brayford +5
Tensor network methods are incredibly effective for simulating quantum circuits. This is due to their ability to efficiently represent and manipulate the wave-functions of large in…
Deploying Containerized QuantEx Quantum Simulation Software on HPC Systems
David Brayford, John Brennan, Momme Allalen +4
The simulation of quantum circuits using the tensor network method is very computationally demanding and requires significant High Performance Computing (HPC) resources to find an…
Analyzing Performance Properties Collected by the PerSyst Scalable HPC Monitoring Tool
David Brayford, Christoph Bernau, Wolfram Hesse +1
The ability to understand how a scientific application is executed on a large HPC system is of great importance in allocating resources within the HPC data center. In this paper, w…
Deploying Scientific AI Networks at Petaflop Scale on Secure Large Scale HPC Production Systems with Containers
David Brayford, Sofia Vallercorsa
There is an ever-increasing need for computational power to train complex artificial intelligence (AI) & machine learning (ML) models to tackle large scientific problems. High perf…
Deploying AI Frameworks on Secure HPC Systems with Containers
David Brayford, Sofia Vallecorsa, Atanas Atanasov +2
The increasing interest in the usage of Artificial Intelligence techniques (AI) from the research community and industry to tackle "real world" problems, requires High Performance…
The Mont-Blanc Project: First Phase Successfully Finished
Momme Allalen, David Brayford, Daniele Tafani +6
Running from October 2011 to June 2015, the aim of the European project Mont-Blanc has been to develop an approach to Exascale computing based on embedded power-efficient technolog…
Extreme Scaling of Lattice Quantum Chromodynamics
David Brayford, Momme Allalen, Volker Weinberg
As the complexity and size of challenges in science and engineering are continually increasing, it is highly important that applications are able to scale strongly to very large nu…