Conveners
Physics and Engineering Applications - II
- Junichi Tanaka (University of Tokyo)
Description
Submissions should report on research for physics and engineering applications exploiting grid, cloud, or HPC services, applications that are planned or under development, or application tools and methodologies.
Topics of interest include:
(1) Data analysis and application including the use of ML/DL and quantum calculation algorithms;
(2) Management of distributed data;
(3) Performance analysis and system tuning;
(4) Workload scheduling;
(5) Management of an experimental collaboration as a virtual organization, in particular learning from the COVID-19 pandemic;
(6) Expectations for the evolution of computing models drawn from recent experience handling extremely large and geographically diverse datasets,and
(7) Expectations for the evolution of computing operations etc. towards the carbon neutral.
Forty months after its inception under the Italian National Recovery and Resilience Plan (NRRP), the National Centre for High-Performance Computing, Big Data, and Quantum Computing - established and managed by the ICSC Foundation - has reached a mature and productive phase, consolidating its role as a strategic infrastructure for research, innovation, and industrial competitiveness. The...
The KM3NeT Collaboration is building two Cherenkov neutrino detectors in the depths of the Mediterranean Sea to study both the intrinsic properties of neutrinos and cosmic high-energy neutrino sources. Neutrinos are elementary particles with no electric charge and almost no mass, interacting only through the weak force. These characteristics allow the neutrino particles to travel straight...
The rapid progress in quantum technologies and the advent of Noisy Intermediate-Scale Quantum (NISQ) devices have inaugurated a new computational paradigm. Concurrently, Artificial Intelligence continues to drive transformative advances across research and industry. Recent studies have demonstrated that the integration of these two paradigms can yield mutual benefits, fostering the exploration...
The massive data throughput at the High Energy Photon Source (HEPS) exposes critical I/O bottlenecks inherent in the conventional "write-then-read" data handling paradigm, severely limiting analytical throughput. To address this challenge, we have designed and developed LightVortex, an end-to-end real-time data feeding platform for HEPS. LightVortex implements a coherent processing pipeline...
