SOFIE generates standalone C++ inference code from trained neural networks, letting HEP frameworks run ML models without heavy external dependencies....

OmniFold produces per-event weights that cannot be reused without the original analysis environment. The original OmniFold paper deposited input...

This project proposes to enhance Clad, a Clang-based automatic differentiation (AD) tool, by leveraging its liveness analysis to automatically...

DUNE’s fine-grained Phlex/FORM I/O model stores data products across many independent RNTuple containers, which can increase read-side overhead...

The LHC at CERN generates 30 petabytes of physics data every year. Current compression tools like LZMA treat this data like any other file and miss...

EKO (Evolution Kernel Operators) is a foundational Python library used in high-precision particle physics that currently faces performance...

This project enhances the Archi framework by enabling real-time interaction with HTCondor job scheduling infrastructure and introducing a persistent...

This project aims to implement a high-performance Apache Arrow backend for PODIO. Currently, PODIO data is primarily persistent in ROOT and SIO...

Modern machine learning workflows in High Energy Physics increasingly rely on large-scale datasets, where the data-loading stage can become a primary...

At present, software regression testing at ATLAS is predominantly performed manually via inspection of metrics on the ATLAS project management board....

This proposal targets the HSF 2026 idea Clad as a first class gradient engine in libtorch, a 350-hour project intended to make compiler-generated...

This project aims to improve the parallel scaling of JetReconstruction.jl, a Julia package for jet clustering in high-energy physics. While the...

RNTuple is ROOT's next-generation columnar data format for High Energy Physics. Its storage layer is decoupled from its format layer, enabling new...

CppInterOp is a Clang-based library that provides an API to examine C/C++ code, enabling language bindings such as cppyy to interact with C++ code at...

This project proposes to build diagnostic tooling for extracting debugging information from CVMFS processes stuck in uninterruptible sleep (D-state),...

This project proposes a comprehensive strategy to extend the CARTopiaX platform within BioDynaMo to replicate a wider range of in vitro observations...

Nopayloaddb is used to serve time-sensitive conditions data for high-energy physics (HEP) experiments, so performance is critical: slow IOV lookups...

Spack is a dominant HPC package manager that automates scientific software installation, widely used in the HEP community. Spack builds software in...

This project aims to develop a pipeline for producing calorimeter shower datasets in point-cloud form for a given detector and various types of...

The Future Circular Collider (FCC) is a flagship proposal for a next-generation post-LHC particle accelerator to be built at CERN. As the FCC project...

ARM-based processors are becoming increasingly common in HPC environments, as in the AWS Graviton, Fujitsu A64FX (one of the world's fastest...

The Problem: Spack’s combinatorial flexibility makes exhaustive CI testing computationally impossible. Current CI focuses almost exclusively on...

During late-night beam tests, physicists must leave detector halls to find workstations with Qt installed just to check satellite status. This...

Automatic Differentiation(AD) is a set of techniques to evaluate the derivative of functions specified by a computer program. Clad is a Clang-based...

Current LHCb calorimeter reconstruction uses rule-based clustering without exploiting timing or learned representations. The PicoCal upgrade will...

The ATLAS Tile Calorimeter (TileCal) currently reconstructs energy using a linear signal-processing method. For the Phase-II HL-LHC upgrade, readout...