Search Results for author:
Found 4 papers, 3 papers with code
Nonperturbative infrared finiteness in super-renormalisable scalar quantum field theory
We present a study of the IR behaviour of a three-dimensional super-renormalisable quantum field theory (QFT) consisting of a scalar field in the adjoint of $SU(N)$ with a $\varphi^4$ interaction.
High Energy Physics - Lattice Statistical Mechanics High Energy Physics - Theory
Machine learning determination of dynamical parameters: The Ising model case
We train a set of Restricted Boltzmann Machines (RBMs) on one- and two-dimensional Ising spin configurations at various values of temperature, generated using Monte Carlo simulations.
Computational Physics Statistical Mechanics High Energy Physics - Lattice
Accelerating HPC codes on Intel(R) Omni-Path Architecture networks: From particle physics to Machine Learning
This displays how a factor of ten speedup in strongly scaled distributed machine learning could be achieved when synchronous stochastic gradient descent is massively parallelised with a fixed mini-batch size.
Grid: A next generation data parallel C++ QCD library
In this proceedings we discuss the motivation, implementation details, and performance of a new physics code base called Grid.
High Energy Physics - Lattice Distributed, Parallel, and Cluster Computing Mathematical Software
