Biocomputational Architecture Based on Particle Physics

Particle Swarm Optimization: A Physics-Based Approach

This work aims to provide new introduction to the particle swarm optimization methods using a formal analogy with physical systems. By postulating that the swarmmotion behaves similar to both classical and quantum particles,we establish a direct connection betweenwhat are usually assumed to be separate fields of study, optimization and physics.Within this framework, it becomes quite natural to ...

Particle physics.

Particle physics.

The various groups of the Physik-Institut in the elds of particle physics are using for their experiments external accelerators at the large international research institutions PSI (Villigen), CERN (Genf), DESY (Hamburg) and Brookhaven. Further activities in the eld of particle physics which are connected to questions of astropar-ticlephysics and cosmology do not require accelerators or they ar...

Accelerating HPC codes on Intel(R) Omni-Path Architecture networks: From particle physics to Machine Learning

We discuss practical methods to ensure near wirespeed performance from clusters with either one or two Intel® Omni-Path host fabric interfaces (HFI) per node, and Intel® Xeon Phi(TM) 72xx (Knight’s Landing) processors, and using the Linux operating system. The study evaluates the performance improvements achievable and the required programming approaches in two distinct example problems: firstl...

Review of Particle Physics.

This biennial Review summarizes much of particle physics. Using data from previous editions, plus 2158 new measurements from 551 papers, we list, evaluate, and average measured properties of gauge bosons, leptons, quarks, mesons, and baryons. We also summarize searches for hypothetical particles such as Higgs bosons, heavy neutrinos, and supersymmetric particles. All the particle properties and...