ATLAS: Precision Recovery in Lossy-Compressed Floating Point Data for High Energy Physics |
baler: The rise of the machine (learning) in data compression for high energy physics and beyond |
baler: Probabilistic circuit for lossless HEP data compression |
BioDynamo: Agent-Based Simulation of CAR-T Cell Therapy Using BioDynaMo |
Patatrack: Development of an auto-tuning tool for the CLUEstering library |
CernVM-FS: Evaluate Distribution of ML model files on CVMFS |
Clad: Implement and improve an efficient, layered tape with prefetching capabilities |
Clad: Enhancing LLM Training with Clad for efficient differentiation |
Clad: Enable automatic differentiation of OpenMP programs with Clad |
Clad: Enable automatic differentiation of OpenMP programs with Clad |
Clad: Integrate Clad to PyTorch and compare the gradient execution times |
Clad: Enable automatic differentiation of C++ STL concurrency primitives in Clad |
Clad: Support usage of Thrust API in Clad |
Constellation: Extending the User Interface |
CppInterOp: Implement CppInterOp API exposing memory, ownership and thread safety information |
Ganga: Incorporate a Large Language Model to assist users |
Ganga: Implement a deprecation system to keep code up to date |
Geant4: Geant4-FastSim - Data Representation Optimisation for Generative Model-based Fast Calorimeter Shower Simulation |
ROOT: Using ROOT in the field of genome sequencing |
CICADA: Highly Granular Quantization for CICADA |
HSFCondDB: Intelligent Log Analysis for the HSF Conditions Database |
CppInterOp: Interactive Differential Debugging - Intelligent Auto-Stepping and Tab-Completion |
JuliaHEP: Julia Interfaces to HepMC3 |
MCnet: MCnet/MCviz - graph and 3D-viewer tools for simulated particle collisions |
MCnet: MCnet/OpenData - tools and exercises for open-data exploration with MC simulations |
ML4EP: Integrating Support for Google XLS in HLS4ML |
ML4EP: Optimizing Model Splitting in hls4ml for Efficient Multi-Graph Inference |
ROOT: RNTuple in JSROOT |
Rucio: Rucio WebUI Revamp |
BEAD: Background Enrichment augmented Anomaly Detection (BEAD) for new physics searches at LHC |
SMARTHEP: Estimating the energy cost of ML scientific software |
ML4EP: TMVA SOFIE - GPU Support for Machine Learning Inference |
ML4EP: TMVA SOFIE - HLS4ML Integration for Machine Learning Inference |
ML4EP: TMVA SOFIE - Enhancing Keras Parser and JAX/FLAX Integration |
Xeus-Cpp: Implementing Debugging Support |
Xeus-Cpp: Enable GPU support and Python Interoperability via a Plugin System |