arXiv subjects

Krishna Kant Singh

Publications and source records attributed to Krishna Kant Singh.

5 recordsLinked to original sources

arXiv2026

Unifying von-Neumann HPC and Neuromorphic Acceleration via the EBRAINS Research Infrastructure: A Framework for High-Performance Workflows

Modern scientific workflows increasingly span diverse computing architectures, yet executing a single computational model across disparate systems often forces researchers to maintain fragmented, site-specific pipelines. In this paper, we address this challenge within the domain of computational neuroscience by presenting a unified, cloud-based workflow orchestrated via EBRAINS JupyterLab. This workflow enables users to transparently execute spiking neural networks on both von-Neumann supercomputers and neuromorphic hardware. Using a single federated identity, the system dispatches jobs to HPC sites (JUSUF, Galileo100) via PyUNICORE and to the SpiNNaker-1 neuromorphic system via the Neuromorphic Computing Platform Interface. To guarantee cross-site reproducibility and mitigate software version drift, we utilize a zero-installation execution mode that dynamically pulls PMIx-aware Apptainer containers to HPC compute nodes. Furthermore, we demonstrate genuine model-level portability using the NESTML domain-specific language, allowing custom neuron models to be written once and automatically compiled for either the NEST (C++) or sPyNNaker backends. Validated with a balanced random network case study, this work illustrates a practical, end-to-end path for hardware-agnostic workflows while highlighting the critical role of containerization and domain-specific languages in achieving true cross-platform reproducibility.

cs.DC↗

arXiv2026

HPC Containers for EBRAINS: Towards Portable Cross-Domain Software Environment

Deploying complex, distributed scientific workflows across diverse HPC sites is often hindered by site-specific dependencies and complex build environments. This paper investigates the design and performance of portable HPC container images capable of encapsulating MPI- and CUDA-enabled software stacks without sacrificing bare-metal performance. This work is part of recent work performed within the EBRAINS Research Infrastructure, to evaluate the implementation of portable HPC (Apptainer-based) container images targeting the EBRAINS Software Distribution (ESD) -- a Spack-based software ecosystem comprising approximately 80 top-level packages (and 800 dependencies). We evaluate a hybrid, PMIx-based containerization strategy using Apptainer that seamlessly bypasses the need for site-specific builds by dynamically leveraging host-level specialized hardware, such as network interfaces and GPUs, on two production HPC clusters: Karolina and Jureca-DC. We demonstrate the feasibility of building portable, MPI- and CUDA-enabled scientific software into container images that correctly leverage site-installed drivers and hardware to reproduce bare-metal communication behavior. Using communication microbenchmarks (e.g., OSU and NCCL) alongside performance metrics of applications from neuroscience, we measure and verify their performance against bare-metal deployments. Crucially, our verification approach extends beyond top-level runtime measurements; we highlight the analysis of underlying debug logs to actively detect misbehavior and misconfigurations, such as suboptimal transport pathways. Ultimately, this investigation demonstrates the feasibility of a simple and reproducible methodology for decoupling software environments from underlying infrastructures, paving the way for automated pipelines that ensure optimized, performance-verified execution across varied HPC architectures.

cs.DC↗

arXiv2025

Velocity Map Imaging Spectrometer Optimized for Reduction of Background from Scattered UV Light

Velocity map imaging spectroscopy is a powerful technique for detecting the momentum distribution of photoelectrons resulting from an ionization experiment on atoms or molecules. However, when used with ultraviolet light sources, scattered photons can lead to the emission of photoelectrons from the spectrometer's electrodes, giving rise to severe noise disturbing the desired signal. We present a velocity map imaging spectrometer optimized to reduce unwanted background signals. The primary modifications to the conventional design include spectrometer electrode geometries with small cross section exposed to the scattered photons, with blocked pathways for photoelectrons from the electrodes to the detector, as well as the incorporation of optical baffles. Compared to a conventional design optimized solely on the spectrometer's photoelectron momentum resolution, we have achieved the elimination of 99.9 \% of the background noise without substantial compromise to the resolution. Note that most of the improvements were achieved without the necessity of high-grade windows, reducing the sensitivity to window degradation by UV light. We give general guidelines on efficiently coping with the long-standing experimental problem of electron background originating from scattered light by considering it already in the design stage of a new spectrometer.

physics.ins-det↗

arXiv2024

Comparing Femtosecond Optical Tweezers with Conventional CW Optical Tweezers

In this work, we present a comparative study between continuous-wave (CW) and pulsed optical tweezers for 250 nm, 500 nm and 1-micron radius polystyrene beads at 5 different laser powers. We have used a Ti:Sapphire (MIRA 900F) laser that can be easily switched from CW to pulsed mode of operation, so there is no change in the experimental conditions in the two cases. We have measured the difference in the trap strength in both cases by fitting the power spectrum curve with Lorentzian. As it turns out, trapping with pulsed tweezers seems to be more effective for the smaller particles and as the particle size is increased both CW and pulsed tweezers appear to be equally effective at lower average laser powers but as the power is increased pulsed tweezers do a better job at stable trapping.

physics.optics↗

arXiv2023

The role of molecular structure on the microscopic thermodynamics: unveiling with Femtosecond Optical Tweezers

Microscopic thermodynamic studies can elucidate specific molecular interactions. In this work, we report the microscopic thermodynamics in binary liquid mixtures, which elucidate the role of molecular structure in nonlinear solvent response using femtosecond optical tweezers (FOT). We obtain the excess thermodynamics property of mixing in various Newtonian liquid mixtures by analyzing Microrheology data from FOT. Using our noninvasive 780 nm pulse laser we have trapped micron-sized particles to show how excess viscosity and residual Gibbs free energy change due to mixing. Furthermore, we establish from this study that hydrocarbon chain length and branching can modulate microscopic thermodynamics through intermolecular interaction. This work sheds light on the relationship between thermodynamic properties and viscosity, which is of immense importance for predicting transport properties, mixing, and chemical reactions.

physics.chem-ph↗