This proposal outlines integrating debugging into the xeus-cpp kernel for Jupyter using LLDB and its Debug Adapter Protocol (lldb-dap). Modeled after...

This project proposes to enhance Clad, a Clang-based automatic differentiation (AD) tool, with support for NVIDIA's Thrust library. By enabling...

The CICADA (Calorimeter Image Convolutional Anomaly Detection Algorithm) project aims to detect anomalous physics signatures without bias from...

Automatic Differentiation (AD) is a computational technique that enables efficient and precise evaluation of derivatives for functions expressed in...

This project will improve how we store and analyze DNA sequence data by using ROOT's newer RNTuple format. We'll work in two main steps: First, we'll...

At the end of Moore’s law, building domain-specific computer architectures is considered the next step in improving program efficiency. Hls4ml is an...

The Large Hadron Collider (LHC) hosts high-energy physics (HEP) experiments, such as ATLAS, which generate over 1 petabyte of data every second....

Physicists at the LHC need to perform ML inference on massive amounts of data. Currently, the bookkeeping of ML model files is an unsolved problem....

This project aims to extend Clad, a Clang-based automatic differentiation tool for C++, to support OpenMP programs. By enabling Clad to parse and...

This project aims to enhance the BEAD framework for anomaly detection in high-energy physics by developing a new multi-stage architecture that...

The Large Hadron Collider (LHC) particle track reconstruction faces increasing computational demands, driving exploration into novel methods like...

This project aims to introduce a structured, automated deprecation system for the Ganga project. Ganga currently lacks a formal process for phasing...

This project addresses the lack of RNTuple support in JSROOT, a critical gap hindering browser-based visualization and analysis of high-energy...

The CernVM File System - CVMFS distributes LHC experiment software and conditions data to the LHC computing infrastructure. The client application is...

GPUs and CUDA have revolutionized computing beyond graphics rendering, becoming essential in various fields due to their parallel processing...

As a final-year Software Engineering student at Kyiv Polytechnic Institute, I propose transforming Rucio WebUI into a more powerful, intuitive, and...

The nopayloaddb tool works as an implementation of the conditions database reference for the HSF. The project is based upon Nginx, Django, and the...

The project addresses a limitation in Clad, a Clang plugin for C++ automatic differentiation, which currently cannot fully support non-trivially...

The SOFIE (System for Optimized Fast Inference Code Emit) project is an initiative within the TMVA (Toolkit for Multivariate Data Analysis) framework...

Training Large Language Models (LLMs) is computationally expensive, often bottlenecked by the performance limitations of Python-based frameworks....

ROOT's TMVA( Toolkit for Multi-Variate Analysis ) has SOFIE (System for Optimized Fast Inference code Emit) which offers a parser capable of...

The project addresses the rising energy consumption of ML workloads in high-energy physics (HEP) at CERN. While models like Baler and ATLAS top...

CAR T-cell therapy is a form of cancer immunotherapy that engineers a patient’s T cells to recognize and eliminate malignant cells. Although highly...

This project addresses the computational cost of full Geant4 calorimeter shower simulation by constructing compact, readout-segmentation–independent...

In high-energy physics experiments such as those conducted at CERN's ATLAS project, the volume of data generated is immense, reaching up to 60...