Integrate a Large Language Model with the xeus-cpp Jupyter kernel
Tharun A
Xeus-cpp, a Jupyter kernel for C++, is built upon the native implementation of the Jupyter protocol, xeus. This setup empowers users to interactively...
Implement Differentiating of the Kokkos Framework in Clad
atell krasnopolsky
The goal is to implement the differentiation of the Kokkos framework including the support of Kokkos functors, lambdas, methods such as parallel_for,...
MCnet/Rivet+YODA CI-based Multi-Arch Docker and Code Coverage
Abhiramsai
This proposal aims to enhance the MCnet projects, Rivet and YODA, by automating the generation and deployment of Docker images across multiple...
Geant4-FastSim - Fast inference of Diffusion models
Mikołaj Piórczyński
Fast and accurate simulation of high-energy physics experiments is crucial for advancing our understanding of fundamental particles and forces in...
SOFIE Developments - Inference Code Generation for Deep Learning models
Vedant Mehra
SOFIE aims to streamline the integration of deep learning models into the ROOT scientific software framework through efficient inference code...
Improving performance of BioDynaMo using ROOT C++ Modules
Isaac Morales
BioDynaMo, a powerful agent-based simulation platform, utilizes ROOT for functionalities like statistical analysis, random number generation, and IO....
Any Collection in Data Model Explorer
Braulio Rivas
EDM4hep offers a powerful set of objects to describe event data from simulation to analysis. At any step of this chain, one can inspect the event...
Superbuilds for ROOT
psvirin
ROOT is a framework for data processing, born at CERN, at the heart of the research on high-energy, molecular and laser physics, as well as in...
Julia interoperating with HEP C++ libraries
Yash Solanki
ROOT is CERN's data analysis framework, which is widely used for HEP applications. Currently, the UnROOT package supports reading the ROOT files in...
Containerization of CBACK backup system
YashrajSingh
The project aims to enhance CERN Storage's backup orchestration system, CBACK, by introducing a Scheduler Agent to dynamically manage job agent...
Add support for consteval and constexpr functions in clad
Mihail Mihov
Clad is a Clang library which allows automatic differentiation (AD) of functions. Clang provides the necessary facilities for code transformation....
CVMFS: Benchmarking of new FUSE features
Yuriy Belikov
The project focuses on integration of FUSE-T kextless module for CVMFS on macOS. This initiative is motivated by the computational demands of...
Lossless compression of raw data for the ATLAS experiment at CERN
Ishan Darji
The goal of this project is to study the performance and effectiveness of various compression algorithms, specifically on ATLAS RAW data. The ATLAS...
Reverse-mode automatic differentiation of GPU kernels using Clad
Christina Koutsou
Nowadays, the rise of AI has shed light into the power of GPUs. The notion of General Purpose GPU Programming is becoming more and more popular and...
Incorporating a Large Language Model in Ganga to assist users
Aryabhatta Dey
Ganga is a tool for composing, running, and tracking computing jobs across a variety of backends and application types. Ganga primarily runs as a...
(MCnet/LHAPDF) Online dashboard and data-visualisation for parton density functions
Arnab Mukherjee
At the Large Hadron Collider (LHC), protons collide at the highest energies achieved by humanity, unravelling the particles within. To decode these...
Machine Learning in Julia for Calorimeter Showers
Daniel Regado
The calorimeter, a key detector in Large Hadron Collider (LHC) experiments, measures the energy of particles interacting with detector materials....
