I. Sfiligoi
A5002738602- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Distributed and Parallel Computing Systems
- High-Energy Particle Collisions Research
- Advanced Data Storage Technologies
- Scientific Computing and Data Management
- Parallel Computing and Optimization Techniques
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Cloud Computing and Resource Management
- Magnetic confinement fusion research
- Superconducting Materials and Applications
- Computational Physics and Python Applications
- Astrophysics and Cosmic Phenomena
- Distributed systems and fault tolerance
- Ionosphere and magnetosphere dynamics
- Cosmology and Gravitation Theories
- Black Holes and Theoretical Physics
- Neutrino Physics Research
- Atomic and Subatomic Physics Research
- Simulation Techniques and Applications
- Laser-Plasma Interactions and Diagnostics
- Fusion materials and technologies
- Medical Imaging Techniques and Applications
- Particle accelerators and beam dynamics
University of California, San Diego
2013-2025
San Diego Supercomputer Center
2020-2024
Oak Ridge National Laboratory
2023
General Atomics (United States)
2018-2023
Universidad Católica Santo Domingo
2011-2022
UC San Diego Health System
2014-2022
Swiss Data Science Center
2022
Fermi National Accelerator Laboratory
2007-2017
Institute of High Energy Physics
2012
Austrian Academy of Sciences
2012
Grid computing has become very popular in big and widespread scientific communities with high demands, like energy physics. Computing resources are being distributed over many independent sites only a thin layer of grid middleware shared between them. This deployment model proven to be convenient for resource providers, but introduced several problems the users system, three major complexity job scheduling, non-uniformity compute resources, lack good monitoring. Pilot jobs address all above...
The Grid resources are distributed among hundreds of independent sites, requiring a higher level Workload Management System (WMS) to be used efficiently. Pilot jobs have been for this purpose by many communities, bringing increased reliability, global fair share and just in time resource matching. glideinWMS is WMS based on the Condor glidein concept, i.e. regular pool, with daemons (startds) being started pilot jobs, real vanilla, standard or MPI universe jobs. composed set Glidein...
FIDASIM is a code that models signals produced by charge-exchange reactions between neutrals and ions (both fast thermal) in magnetically confined plasmas. With the ion distribution function as input, predicts efflux to neutral particle analyzer diagnostic photon radiance of Balmer-alpha light fast-ion D diagnostic, addition many other related quantities. A new, parallelized version Monte Carlo has been developed Fortran90 substantially faster than original interactive data language version....
Abstract Mathematical modeling of somatic evolution, a process impacting both host cells and microbial communities in the human body, can capture important dynamics driving carcinogenesis. Here we considered models for esophageal adenocarcinoma (EAC), cancer that has dramatically increased incidence over past few decades Western populations, with high case fatality rates due to late-stage diagnoses. Despite advancements genomic analyses precursor Barrett’s esophagus (BE), prevention EAC...
While the LHC data movement systems have demonstrated ability to move at necessary throughput, we identified two weaknesses: latency for physicists access and complexity of tools involved. To address these, both ATLAS CMS begun federate regional storage using Xrootd. Xrootd, referring a protocol implementation, allows us provide all disk-resident from single virtual endpoint. This "redirector" discovers actual location redirects client appropriate site. The approach is particularly...
Following the success of XRootd-based US CMS data federation, AAA project investigated extensions federation architecture by developing two sample implementations an XRootd, disk-based, caching proxy. The first one simply starts fetching a whole file as soon open request is received and suitable when completely random access expected or it already known that be read. second implementation supports on-demand downloading partial files. Extensions to Hadoop Distributed File System have been...
We have measured the fully inclusive K+ -> mu+nu(gamma) absolute branching ratio with KLOE experiment at DAFNE, Frascati Phi-factory. From some 865,283 decays obtained from a sample of about 5.2x10^8 Phi-meson decays, we find BR(K+ mu+ nu (gamma)) = 0.6366 +-0.0009(stat.) +-0.0015(syst.), corresponding to an overall fractional error 0.27%. Using recent lattice results on decay constants pseudoscalar mesons one can obtain estimate for CKM mixing matrix element |Vus|=0.2223+-0.0026.
We present a measurement of the KL lifetime using KLOE detector. From sample 4 x 10^8 KS pairs following reaction e+ e- -> phi we select 15 10^6 p0 decays tagged by pi+ pi- events. fit proper time distribution find tau_L = (50.92 +- 0.17{stat} 0.25{syst})$ ns. This is most precise performed to date.
Delivering complex software across a worldwide distributed system is major challenge in high-throughput scientific computing. The problem arises at different scales for many communities that use grids, clouds, and clusters to satisfy their computing needs. For high-energy physics (HEP) collaborations dealing with large amounts of data rely on hundreds thousands cores spread around the world processing, particularly acute. To serve needs HEP community, several iterations were made create...
CMS will require access to more than 125k processor cores for the beginning of Run 2 in 2015 carry out its ambitious physics program with and higher complexity events. During Run1 these resources were predominantly provided by a mix grid sites local batch resources. long shut down cloud infrastructures, diverse opportunistic HPC supercomputing centers made available CMS, which further complicated operations submission infrastructure. In this presentation we discuss effort adopt deploy...