Welcome and introduction Room: 31/3-004 - IT Amphitheatre

Real Time Server Monitoring and Fixed Point Inference in FPGA

• Debdeep Paul

Room: 31/3-004 - IT Amphitheatre The project dealt with real time monitoring of the server hosting the FPGA for Convolution Neural Network inference for the Proto-DUNE Project. I also investigated methods to deal with the numerical overflow of the weights and activation while working with fixed point arithmetic in FPGA.

EOS Winston: Expert Systems for Automated Diagnosis and Remediation

• Ishank Arora

Room: 31/3-004 - IT Amphitheatre The IT-ST group at CERN runs and evaluates innovative cloud storage technologies for their application to big data problems in high-energy physics research. One of the entities it focuses on is EOS, the CERN multi-Petabyte disk-based storage service built from commodity hardware, heavily used as well by LHC and non-LHC experiments. The massive scale at which EOS runs leads to room for multiple issues and anomalies to creep in. These need to be dealt with in real-time to ensure smooth operations. The project aims to improve the current troubleshooting and diagnosis of the different components that compose the EOS infrastructure with the development of an Expert System that collects diagnostic information such as metrics, signals, and alerts, from each of the namespaces and assists engineers in reducing the time to debug these issues on the system, thus automating some of the troubleshooting tasks.

Improvements on BioDynaMo build system

• Giovanni De Toni

Room: 31/3-004 - IT Amphitheatre

Scaling-out CERN’s IDS System with Network Automation

• Andrea Lacava

Room: 31/3-004 - IT Amphitheatre CERN is one of the most heterogeneous network in the world and in order to keep its traffic safe we’ve to inspect it in real time. We have already an Intrusion Detection System that inspect CERN traffic firewall, but we're looking to make it more powerfull and more reliable. In my work I've focused on IDS upgrade in order to support multiple hardware vendors to improve its scalability and availability.

Deep Graph Neural Networks for Fast HGCAL Simulation

• Raghav Kansal

Room: 31/3-004 - IT Amphitheatre

EOS Integration into OpenStack Manila

• Elisabeth Ann Petit-Bois (Kennesaw State University)

Room: 31/3-004 - IT Amphitheatre OpenStack is a popular open source cloud-computing software platform used widely at CERN. EOS is a disk-based, low-latency storage service powering user, project, and experiment data on services such as CERNBox. This project strives to improve user experience by integrating EOS into OpenStack Manila, a shared storage system. This way, users are able to request and access project space via a single interface.

Web Services - Discourse Forum Automation

• Rajula Vineet Reddy

Room: 31/3-004 - IT Amphitheatre

Web - UI development for SAFER

• Akash Gupta

Room: 31/3-004 - IT Amphitheatre

Continuous integration for containerized scientific workflows

• Leticia Farias Wanderley

Room: 31/3-004 - IT Amphitheatre

Openstack Log Data Analysis

• Venkata Ravicharan Nudurupati

Room: 31/3-004 - IT Amphitheatre

Analysis and Modeling of Storage Access Patterns and Caching Strategies

• Shreya Krishnan

Room: 31/3-004 - IT Amphitheatre

Deep I/O performance analysis of CVMFS using modern Linux tools

• Shahnur Isgandarli

Room: 31/3-004 - IT Amphitheatre

DL Models for Particle Identification and Energy Regression in CMS HGCAL L1T

• Anwesha Bhattacharya

Room: 31/3-004 - IT Amphitheatre Using Micron's FPGA-based inference engines and FWDNXT firmware + software for compiling models and running the inference

Fast Inference on FPGAs for HEP trigger systems

• Hamza Javed

Room: 31/3-004 - IT Amphitheatre In order to benefit of modern machine learning in the early stages of the data acquisition of a typical HEP experiment, one has to be able to execute ML model inference within the latency of the L1 trigger system. At the LHC, this time is of O(10) μs. The aim of this project is to deploy a set of LHC-related neural networks to the Intel FPGAs.

Benchmarking tools for NextGen Archiver for WinCC OA

• Jayaditya Gupta

Room: 31/3-004 - IT Amphitheatre

The usage of deep learning methods for raw data preprocessing at protoDUNE experiment

• Maksim Artemev

Room: 31/3-004 - IT Amphitheatre

Automation Tools for Invenio

• Foteini Panagiotidou

Room: 31/3-004 - IT Amphitheatre Tool that generates report on the status of inveniosoftware repositories and suggests suitable actions.