ML Inference on heterogeneous architectures using SOFIE
Contributor: _HarshChauhan_
SOFIE generates standalone C++ inference code from trained neural networks, letting HEP frameworks run ML models without heavy external dependencies....
Umbrella for Particle Physics-related projects
Contributor: _HarshChauhan_
SOFIE generates standalone C++ inference code from trained neural networks, letting HEP frameworks run ML models without heavy external dependencies....
Contributor: Aashirvad
OmniFold produces per-event weights that cannot be reused without the original analysis environment. The original OmniFold paper deposited input...
Contributor: Abdelrhman Elrawy
This project proposes to enhance Clad, a Clang-based automatic differentiation (AD) tool, by leveraging its liveness analysis to automatically...
Contributor: Ahmed Idani
DUNE’s fine-grained Phlex/FORM I/O model stores data products across many independent RNTuple containers, which can increase read-side overhead...
Contributor: Akarsh_sahlot
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...
Contributor: AkshatRai07
EKO (Evolution Kernel Operators) is a foundational Python library used in high-precision particle physics that currently faces performance...
Contributor: Antonio Battaglia
This project enhances the Archi framework by enabling real-time interaction with HTCondor job scheduling infrastructure and introducing a persistent...
Contributor: Arnav Dham
This project aims to implement a high-performance Apache Arrow backend for PODIO. Currently, PODIO data is primarily persistent in ROOT and SIO...
Contributor: AtikSantellan
Modern machine learning workflows in High Energy Physics increasingly rely on large-scale datasets, where the data-loading stage can become a primary...
Contributor: Douglas Lindsay
At present, software regression testing at ATLAS is predominantly performed manually via inspection of metrics on the ATLAS project management board....
Contributor: fogsong
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...
Contributor: Harshit Nagpal
This project aims to improve the parallel scaling of JetReconstruction.jl, a Julia package for jet clustering in high-energy physics. While the...
Contributor: Jas Mehta
RNTuple is ROOT's next-generation columnar data format for High Energy Physics. Its storage layer is decoupled from its format layer, enabling new...
Contributor: Kerem Sahin
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...
Contributor: L Venkata Subramanyam
This project proposes to build diagnostic tooling for extracting debugging information from CVMFS processes stuck in uninterruptible sleep (D-state),...
Contributor: Salvador de la Torre Gonzalez
This project proposes a comprehensive strategy to extend the CARTopiaX platform within BioDynaMo to replicate a wider range of in vitro observations...
Contributor: Sarthak18
Nopayloaddb is used to serve time-sensitive conditions data for high-energy physics (HEP) experiments, so performance is critical: slow IOV lookups...
Contributor: SebastianPaucar
Spack is a dominant HPC package manager that automates scientific software installation, widely used in the HEP community. Spack builds software in...
Contributor: Siyu (Rain) Chen
This project aims to develop a pipeline for producing calorimeter shower datasets in point-cloud form for a given detector and various types of...
Contributor: Soumyadip Niyogi
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...
Contributor: utk4r-sh
ARM-based processors are becoming increasingly common in HPC environments, as in the AWS Graviton, Fujitsu A64FX (one of the world's fastest...
Contributor: VaishnaviMishra
The Problem: Spack’s combinatorial flexibility makes exhaustive CI testing computationally impossible. Current CI focuses almost exclusively on...
Contributor: VanitasCodes
During late-night beam tests, physicists must leave detector halls to find workstations with Qt installed just to check satellite status. This...
Contributor: Vedant Goyal
Automatic Differentiation(AD) is a set of techniques to evaluate the derivative of functions specified by a computer program. Clad is a Clang-based...
Contributor: Worakan Lasudee
Current LHCb calorimeter reconstruction uses rule-based clustering without exploiting timing or learned representations. The PicoCal upgrade will...
Contributor: XBastille
The ATLAS Tile Calorimeter (TileCal) currently reconstructs energy using a linear signal-processing method. For the Phase-II HL-LHC upgrade, readout...
Contributor: _Abhinav_Kumar_
This proposal outlines integrating debugging into the xeus-cpp kernel for Jupyter using LLDB and its Debug Adapter Protocol (lldb-dap). Modeled after...
Contributor: Abdelrhman Elrawy
This project proposes to enhance Clad, a Clang-based automatic differentiation (AD) tool, with support for NVIDIA's Thrust library. By enabling...
Contributor: Abhishikth Mallampalli
The CICADA (Calorimeter Image Convolutional Anomaly Detection Algorithm) project aims to detect anomalous physics signatures without bias from...
Contributor: Aditi Milind Joshi
Automatic Differentiation (AD) is a computational technique that enables efficient and precise evaluation of derivatives for functions expressed in...
Contributor: Aditya18
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...
Contributor: Andrei Girjoaba
At the end of Moore’s law, building domain-specific computer architectures is considered the next step in improving program efficiency. Hls4ml is an...
Contributor: Carter Capetz
The Large Hadron Collider (LHC) hosts high-energy physics (HEP) experiments, such as ATLAS, which generate over 1 petabyte of data every second....
Contributor: jasonwu224
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....
Contributor: Jiayang Li
This project aims to extend Clad, a Clang-based automatic differentiation tool for C++, to support OpenMP programs. By enabling Clad to parse and...
Contributor: JohnKala
This project aims to enhance the BEAD framework for anomaly detection in high-energy physics by developing a new multi-stage architecture that...
Contributor: KaranSingh
The Large Hadron Collider (LHC) particle track reconstruction faces increasing computational demands, driving exploration into novel methods like...
Contributor: Kossi GLOKPOR
This project aims to introduce a structured, automated deprecation system for the Ganga project. Ganga currently lacks a formal process for phasing...
Contributor: Kriti Mahajan
This project addresses the lack of RNTuple support in JSROOT, a critical gap hindering browser-based visualization and analysis of high-energy...
Contributor: Madlani Shivam
The CernVM File System - CVMFS distributes LHC experiment software and conditions data to the LHC computing infrastructure. The client application is...
Contributor: Maksym Andriichuk
GPUs and CUDA have revolutionized computing beyond graphics rendering, becoming essential in various fields due to their parallel processing...
Contributor: MytsV
As a final-year Software Engineering student at Kyiv Polytechnic Institute, I propose transforming Rucio WebUI into a more powerful, intuitive, and...
Contributor: Osama Tahir
The nopayloaddb tool works as an implementation of the conditions database reference for the HSF. The project is based upon Nginx, Django, and the...
Contributor: Petro Zarytski
The project addresses a limitation in Clad, a Clang plugin for C++ automatic differentiation, which currently cannot fully support non-trivially...
Contributor: Prasanna Kasar
The SOFIE (System for Optimized Fast Inference Code Emit) project is an initiative within the TMVA (Toolkit for Multivariate Data Analysis) framework...
Contributor: Rohan Timmaraju
Training Large Language Models (LLMs) is computationally expensive, often bottlenecked by the performance limitations of Python-based frameworks....
Contributor: S.Akash
ROOT's TMVA( Toolkit for Multi-Variate Analysis ) has SOFIE (System for Optimized Fast Inference code Emit) which offers a parser capable of...
Contributor: Sakshi Kumar
The project addresses the rising energy consumption of ML workloads in high-energy physics (HEP) at CERN. While models like Baler and ATLAS top...
Contributor: Salvador de la Torre Gonzalez
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...
Contributor: Tarun Nandi
This project addresses the computational cost of full Geant4 calorimeter shower simulation by constructing compact, readout-segmentation–independent...
Contributor: Yolanne
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...
Contributor: 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...
Contributor: 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,...
Contributor: Abhiramsai
This proposal aims to enhance the MCnet projects, Rivet and YODA, by automating the generation and deployment of Docker images across multiple...
Contributor: Mikołaj Piórczyński
Fast and accurate simulation of high-energy physics experiments is crucial for advancing our understanding of fundamental particles and forces in...
Contributor: Vedant Mehra
SOFIE aims to streamline the integration of deep learning models into the ROOT scientific software framework through efficient inference code...
Contributor: Isaac Morales
BioDynaMo, a powerful agent-based simulation platform, utilizes ROOT for functionalities like statistical analysis, random number generation, and IO....
Contributor: 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...
Contributor: 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...
Contributor: 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...
Contributor: YashrajSingh
The project aims to enhance CERN Storage's backup orchestration system, CBACK, by introducing a Scheduler Agent to dynamically manage job agent...
Contributor: Mihail Mihov
Clad is a Clang library which allows automatic differentiation (AD) of functions. Clang provides the necessary facilities for code transformation....
Contributor: 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...
Contributor: 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...
Contributor: 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...
Contributor: 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...
Contributor: Arnab Mukherjee
At the Large Hadron Collider (LHC), protons collide at the highest energies achieved by humanity, unravelling the particles within. To decode these...
Contributor: Daniel Regado
The calorimeter, a key detector in Large Hadron Collider (LHC) experiments, measures the energy of particles interacting with detector materials....
Contributor: Aaron Jomy
Numba is a JIT compiler that translates a subset of Python and NumPy code into fast machine code. Cppyy is an automatic, run-time, Python-C++...
Contributor: Aman Singh Thakur
Development and Deployment of a Lossy Compression Tool 'Baler' that uses deep autoencoders to flexibly compress scientific data. Use Baler to...
Contributor: Arjun Taneja
The LHAPDF C++ library plays a crucial role in the Large Hadron Collider (LHC) programme by providing it with Parton Distribution Function (PDF) data...
Contributor: Chenguang Guan
Calorimeter is one of the most important components of the Large Hadron Collider (LHC) experiments, detecting energy loss of particles after...
Contributor: Daemond Zhang
I would like to apply for the Improve automatic differentiation of object-oriented paradigms using Clad project. This project is mainly focused on...
Contributor: daniel-rey
Reva is the core of the CERNBox service. It is a middleware framework, providing interoperability between storage and application providers using a...
Contributor: Hieu Le Cong Minh
The proposed project aims to improve the accessibility and user experience of Belle II by developing a web application for event display. Currently,...
Contributor: Jian Park
Graph neural networks (GNNs) have shown great potential in solving the complex problem of charged particle tracking, which is an essential task in...
Contributor: Manas Pratim Biswas
The Large Hadron Collider (LHC) experiments generate massive datasets composed of billions of proton-proton collisions. The analysis of this data...
Contributor: Muhammad Aditya Hilmy
CERN uses a service called Service for Web Analysis (SWAN) to perform analyses on scientific data, which is built on top of Jupyter notebook....
Contributor: Neel Shah
Toolkit for Multivariate Analysis (TMVA) is a multi-purpose machine learning toolkit integrated into the ROOT scientific software framework, used in...
Contributor: Smit Shah
xeus-clang-REPL is a C++ kernel for Jupyter notebooks using clang-REPL as its C++ Interpreter. Cppyy is an automatic, run-time, Python-C++ bindings...
Contributor: Somya Bansal
This project aims to improve the scale and navigation inside the Phoenix application which is basically an Angular-based web application written in...
Contributor: Sumalyo Datta
This project aims to add support for real-time lossless compression libraries and algorithms in the data acquisition system that is being used for...
Contributor: Vaibhav Thakkar
In mathematics and computer algebra, automatic differentiation (AD) is a set of techniques to numerically evaluate the derivative of a function...
Contributor: Yash Solanki
RooFit uses RooWorkSpace to manage its models. Currently, the syntax to interact with RooWorkspace is completely different from Python syntax, which...
Contributor: Kush Kothari
This project aims to create an API for users that can provide the data in ROOT files directly in a “delayed” form that is supported by Dask. It will...
Contributor: Zephyr
TTree is the ROOT’s legacy columnar storage that has been used to store more than 1 exabyte of high-energy physics data during the last 25 years....
Contributor: Kavishka Attanayake
Traccc is a demonstrator for GPU tracking algorithms. This project focuses on optimizing GPU utilization of traccc using CUDA Multi Process Service...
Contributor: SimoneBalducci
The CLUE algorithm is a clustering algorithm written by Rovere et al. in C++, which is used in High-Energy Physics to reconstruct particle showers by...
Contributor: Neel Shah
Toolkit for Multivariate Analysis (TMVA) is a multi-purpose machine learning toolkit integrated into the ROOT scientific software framework, used in...
Contributor: Manish Kausik
Clad is an open source plugin to the Clang compiler that detects from the parsed Abstract syntax tree, calls to differentiate a defined function,...
Contributor: Sanchi Mittal
Toolkit for Multivariate Analysis (TMVA) is a multi-purpose machine learning toolkit integrated into the ROOT scientific software framework, used in...
Contributor: Tirthankar Mazumder
This project is for implementing a vectorized linear algebra backend. The current linear algebra implementation uses scalar instructions, but we can...
Contributor: Divyansh Tiwari
The Geat4 toolkit lacks numerical integrators that preserve energy over the long course of simulations. Specifically, the g-2 physics experiment at...
Contributor: Giorgos Apostolopoulos
Ganga routinely handles a tremendous amount of computational tasks simultaneously and keeping track of their status is prone to lagging behind with...
Contributor: Priyam Mehta
Geant4 is a highly accurate and detailed simulation toolkit used for simulating the passage of particles through matter. Due to its strict precision...
Contributor: Guneet Singh Kohli
This is the tentative proposal submission for the Geant4-FastSim - Building an ML pipeline for fast shower simulation. This proposal discusses a...
Contributor: Soumil Baldota
Currently, two major languages are used in high-energy physics (HEP): C++ for numerically intensive code, where execution speed is critical, and...
Contributor: Harshil Jani
The project aims at monitoring performance and improving the data visuals used to represent the performance report for Geant4 which is a toolkit for...
Contributor: Jun Zhang
ROOT is a data analysis framework designed to handle large amounts of data with high performance. This proposal aims at optimizing the performance of...
Contributor: arul
The international Belle II collaboration handles huge amounts of data from the Belle II detector, relying on custom software for simulation,...
Contributor: Nimish B
Rucio has proven its potential to be used for providing functionality to scientific collaborations to organize, manage, monitor, and access their...
Contributor: Harshal Shende
Toolkit for Multivariate Analysis (TMVA) is a multi-purpose machine learning toolkit integrated into the ROOT scientific software framework. The...
Contributor: Ujwal Kundur
The goal of this project is to re-implement the current clustering algorithms using SYCL for higher-throughput processing and handling future...
Contributor: Mohammad Humayun Khan
This project aims to introduce a new testing strategy so that we encourage Behaviour-driven Development here, at Phoenix — the official web event...
Contributor: Kyle Fan
The purpose of this project is to enable multi-weight calculations in the MadAnalysis 5 platform. The current implementation only uses the nominal...
Contributor: Aneesh Chawla
The goal of the project is to develop and test a suite of ready-to-run benchmarks to measure the performances of various partitioning options on...
Contributor: Harsh Prakash Gupta
The Heavy Flavour AVeraging (HFLAV) group is responsible for collecting and combining measurements made at different High Energy Physics (HEP)...
Contributor: Tushar Jain-2
This project is about adding optimised and accurate high-order interpolators to the LHAPDF C++ library. This is required for adding support for...
Contributor: grimmmyshini
In mathematics and computer algebra, automatic differentiation (AD) is a set of techniques to numerically evaluate the derivative of a function...
Contributor: Gurudatta Patil
Ganga is a tool to run data analysis jobs along with managing associated data files easier. Ganga also allows for submission,...
Contributor: Martin Kostelník
The project aims to implement single-precision floating-point support for GPU acceleration in the VecGeom library. This will be achieved by first...
Contributor: Anurag Akella
The supercomputer that is currently constructed at the LHCb will allegedly be the largest real-time data acquisition system in the world in 2021 and...
Contributor: Adrian-Antonio Petre
The Compact Muon Solenoid (CMS) experiment is one of the largest experiments at Large Hadron Collider (LHC) that has been built to search for new...
Contributor: parth-07
This proposal aims to add support for directly differentiating functors and lambda expressions and increase clad coverage and overcome its...
Contributor: George Dialektakis
Storage is one of the main limiting factors to the recording of information from proton-proton collision events at the Large Hadron Collider (LHC),...
Contributor: Simon Thor
Rivet is a tool used by particle physicists to test and develop Monte Carlo event generators, i.e., simulation of particle accelerator collisions....
Contributor: Anubhab Das
PRocess MONitor (PRMON) is a utility programme used by the Worldwide LHC Computing Grid (WLCG) to monitor the resource consumption and performance of...
Contributor: Rohit Topi
CernVM-FS (CVMFS) is a service for fast and reliable software distribution on a global scale. Data is organized in repositories. Files and metadata...
Contributor: Aaradhya Saxena
Toolkit for Multivariate Analysis (TMVA) is a multi-purpose machine learning toolkit integrated into the ROOT scientific software framework, used in...
Contributor: Baidyanath Kundu
In mathematics and computer algebra, automatic differentiation (AD) is a set of techniques to numerically evaluate the derivative of a function...
Contributor: Archit_Agrawal
This project aims to address obsolescence in the underlying RooUnfold implementation that would allow the RooUnfold package to act as a lightweight...
Contributor: Rakshita Varadarajan
Rucio is an open-source software framework that provides functionality to scientific collaborations to organize, manage, monitor, and access their...
Contributor: Monalisha Ojha
Ganga is an open source job management tool for processing and bookkeeping of intensive computational tasks on a wide set of distributed resources....
Contributor: Ahmat Hamdan
Toolkit for Multivariate Analysis (TMVA) is a multi-purpose machine learning toolkit integrated into the ROOT scientific software framework, used in...
Contributor: Sanjiban Sengupta
The Toolkit for Multivariate Data Analysis with ROOT (TMVA) provides a machine learning environment for the processing and evaluation of multivariate...
Contributor: Aman Verma
Zfit is a highly scalable and customizable model manipulation and fitting library. Using Tensorflow as its backend, it has been optimised for simple...
Contributor: Rahul Chauhan-1
In recent years Sync and Share Services have become more relevant than ever in our day to day lives. The scientists at CERN are not an exception to...
Contributor: Harshal Anil Shende
RooFit is a C++ library for statistical data analysis and for modeling the expected distribution of observables measured in particle physics...
Contributor: Matthew Filipovich
The Rivet toolkit is a software package for performing data analysis on simulated particle collision events like those in the Large Hadron Collider...
Contributor: Jimil Desai
This project aims to add runtime pluggability to the Reva framework to enhance developer experience at AARNet, ownCloud and CERN. This would involve:...
Contributor: Vaibhav Garg
ROOT has several features that interact with libraries and require implicit header inclusion. This can be triggered by reading or writing data on...
Contributor: Andrei Mihailescu
The goal of this project is to implement the Gilbert-Johnson-Keerthi algorithm on convex objects in VecGeom along with a ray casting algorithm that...
Contributor: Yash Datta
AstroLab Software has developed Fink, an apache-spark based broker infrastructure, which is able to analyze this large stream of alerts data from the...
Contributor: Fawad
Phoenix is a web-based, experiment independent event display framework in JavaScript for visualizing HEP experiment data from multiple experiments....
Contributor: Huajian Qiu
Interactive visualization can provide intuitive insights for experiment setups and results in many domains, including High Energy Physics. Therefore,...
Contributor: Shivansh Saini
This project aims to develop a Kubernetes Operator for XRootD, along with its related documentation, in order to ease and fully automate deployment...
Contributor: Lucas Camolezi
This project has the goal to find and decrease boost dependencies in CMSSW. Modern C++ introduced a lot of new features that were only available...
Contributor: Ali Hariri
Prior to the HL-LHC operation, detector simulations undergo further developments in order to adapt to the increasing amounts of events. Current...
Contributor: Stanislav Lukyanenko
Graph neural networks is a powerful generalization of a whole class of neural (and not only neural) architectures on the data, organized in a graph....
Contributor: Max Orok
The RNTuple interface is an experimental I/O subsystem for the ROOT analysis framework. Preliminary benchmarks have demonstrated significant...
Contributor: Anirudh Dagar
Toolkit for Multivariate Analysis (TMVA) is a multi-purpose machine learning toolkit integrated into the ROOT scientific software framework, used in...
Contributor: Chi Lung Cheng
This project serves to implement a common framework for applying quantum machine learning algorithms to high energy physics analysis. A major focus...
Contributor: aditigupta17
SkyhookDM supports dynamic data management in the cloud by enabling data management tasks to be executed directly within the storage. It uses...
Contributor: Kalana Wijethunga
JAliEn introduces automatic containerization for jobs submitted to the WLCG. To fully utilize this feature, and to plan ahead for how new software...
Contributor: Ratin Kumar
This project will replace the old xml-based metadata system with a database, which will be assisted by a caching mechanism that will allow for a...
Contributor: Aditya Kumar-2
Rivet is a software package for performing data analysis on simulated particle collision events like those in the Large Hadron Collider. This project...
Contributor: Nidhi Hegde
CRISMIS is an open-source, AI-based tool for the identification and classification of cosmic-ray artifacts in imaging data. Its purpose is to cater...
Contributor: Rahul Indra
This project aims to develop an intelligent and reliable monitoring system for large distributed services to monitor their status and reduce...
Contributor: Nick Rozinsky
Enhance a statistical toolkit for physics analysis interpretation.
Contributor: Varun Bankar
The idea of this project is to create an additional interface for users to interact with Ganga. The new responsive Graphical User Interface (GUI)...
Contributor: Mohit Tyagi
It has been shown that only a small portion of all the files in a container image is necessary to run the image itself. This is even more accentuated...
Contributor: Keisuke Kamahori
This project aims to validate the possibility of using pre-conditioners in compressing ROOT file formats (TTree and RNTuple); to understand how we...
Contributor: Vivek Nigam
Rucio is a data management framework which provides a multilevel organization, management, and access to large scale data generated during scientific...
Contributor: Anish Biswas
The goal of this project is to add a GPU backend to Awkward Array 1.x. With such a backend, the library would have a unique capability of processing...
Contributor: Surya S Dwivedi
This project is about the development of 3D CNN functionality in TMVA. I shall be developing both 3D convolution as well as 3D pooling layers. 3D...
Contributor: K Pranath Reddy
Gravitational lensing has been a cornerstone in many cosmology experiments, and studies since it was discussed in Einstein’s calculations back in...
Contributor: Prateek Agnihotri
CMS is a general-purpose detector at LHC. During a run, it generates about 40 TB data per second. Since It is not feasible to readout and store such...
Contributor: Vasilis Mageirakos
The aim of the project is to use Natural Language Processing (NLP) to develop an intelligent bot able to provide satisfying answers to users and...
Contributor: drholmie
In preparation of LHC's next run, CERN has been developing JAliEn, a successor to their current grid computing middleware, AliEn. To ease development...
Contributor: Ayaan Zaidi
The data-driven workflow dumps generated by the DPL (O2 Data Processing Layer) cannot be directly imported into AliECS. These workflow templates are...
Contributor: Muhammad Aditya Hilmy
CERN and the high energy physics community stores their data in various storage, with varying locations and medium (from object storage to magnetic...
Contributor: Shravan Chaudhari-1
Developing End-to-End Deep Learning Models and optimizing them for the Reconstruction of single particles, jets and event topologies of interest in...
Contributor: Shuo Liu
The Scikit-HEP project is a collection of several dozen packages intended to facilitate the use of Python in High Energy Physics. One of the major...
Contributor: Honey Gupta
Storage is one of the main limiting factors to the recording of information from proton-proton collision events at the Large Hadron Collider at CERN....
Contributor: Charles Escott
At CERN, the data from LHC collisions requires complex data types and functions to be processed. As a solution, the awkward-array library makes...
Contributor: Ishan Rai
GANGA (Gaudi/Athena and Grid Alliance) is an interface used by scientists to interface with huge amount of computing power and storage available to...
Contributor: Hasan Öztürk
Athena framework is being upgraded to run in multithreaded environment and the aim of this project is to create a new Atlas performance monitoring...
Contributor: Alfonso
This project aims to investigate application of ZSTD within the ROOT framework; benchmark it in comparison to the other algorithms; test it against...
Contributor: Akash Ravi
This proposal promises to develop a Jupyter notebook extension, that will allow the users to specify python modules (and their respective versions)...
Contributor: Arturo Garza Rodriguez
A C++ adapter API for integrating vectorized components in a scalar workflow. Many FLOP-intensive algorithms may profit from the vector pipelines of...
Contributor: Jonathan Guiang
Over the course of Run 2, from 2016 to 2018, the CMS detector produced an unparalleled amount of data, resulting in an intricate optimization problem...
Contributor: Mohamed Moanis Ali
Pursuing the goal of running Allpix-Squared simulation’s events -independent by nature- in parallel, have led to the identification of performance...
Contributor: Aman Singh Thakur
Building a library that reads a large number of HDF files and builds a database. Add support for searching and loading multiple datasets,...
Contributor: Brooks Karlik
The Kalman Filter is a method of iteratively predicting the future state of a system based on previous information. Not only is a Kalman Filter more...
Contributor: Sharad Chitlangia
Porting and Analysis of top solution algorithms from the TrackML challenge to ACTS framework. The algorithms include the combinatorial Mikado...
Contributor: Pradeep Kumar S
High Level Trigger 1(HLT1) is the first and critical stage in software reconstruction of collisions at the LHCb experiment in the Large Hadron...
Contributor: Emilio Cortina Labra
Developing a new data format to represent event data, unifying the needs of the different experiments that will make use of it. Improvement on the...
Contributor: Arpitha Raghunandan
ROOT has several features which interact with libraries and require implicit header inclusion. These headers are often immutable, and reparsing is...
Contributor: Ashish Kshirsagar
The project aims implementation of GANs in the Machine Learning toolkit, TMVA of the ROOT framework would be immensely useful because of the advent,...
Contributor: Shrey Aryan
PODIO is a C++ library that allows the creation of event data models and efficient I/O code for HEP experiments. It does so by avoiding deep-object...
Contributor: Sneha Sinha
The SIMPLE Grid project is an extension of the SIMPLE Framework that combines popular configuration management technologies such as Puppet/Ansible...
Contributor: Himanshu Sahu
In the view of LHC Run 3, we want to extend the functionalities of Molr so that it will be ready to use in production to control various operational...
Contributor: Ruturaj Gujar
Rucio is a data management system that provides the functionality to organize, manage and access a large amount of scientific data (in the order of...
Contributor: Surya S Dwivedi
This project is about development of Long Short Term Memory(LSTM) and Gated Recurrent Unit(GRU) layers in TMVA, both of which belong to a general...
Contributor: Pujan Mehta
DIRAC is a highly-scalable software used for accessing distributed resources from various distributed systems. DIRAC’s main contributor is LHCb and...
Contributor: danieldo
ALICE (A Large Ion Collider Experiment) is a heavy-ion detector on the Large Hadron Collider (LHC) ring. It is designed to study the physics of...
Contributor: Mohit Tyagi
CERNBox provides cloud data storage to all CERN users to store, share and synchronize their data across all devices. It is integrated with variety of...
Contributor: Sahil Jajodia
This project aims to develop a Jupyter notebook plugin which deploys Spark required services to a kubernetes cluster on OpenStack cloud at CERN....
Contributor: Divya Rani
SWAN (Service for Web-based ANalysis) is a cloud data analysis service developed and powered by CERN that provides Jupyter notebooks on demand. It is...
Contributor: Inzamam Iqbal
Ganga is used to execute a user defined computational task on a distributed back-end. Through this project we let the users define the environment in...
Contributor: Amarnath Karthi
DIRAC is an open source interware platform whose roles are submission of jobs, the management of the data produced, to the orchestration of the...
Contributor: Abhishek Chauhan
A huge volume of data is generated every night by large astronomical telescopes around the world. A robust and scalable software infrastructure is...
Contributor: Jack Qiu
Clad is a C++ Clang compiler plugin that employs automatic differentiation to derive user-defined functions, performing source code transformations...
Contributor: Hanlin Tang
googledoc Timeline: Before 5/22/2018: Get familiar with ROOT. Get in touch with community. Have a preliminary to-do list of possible optimizing...
Contributor: Harshit Prasad
Toolkit for Multivariate Analysis (TMVA) is a machine learning toolkit for the ROOT scientific software framework used in many particle physics data...
Contributor: Saurav Sachidanand
The goal of this project is to build a JavaScript client for the CernVM filesystem implemented as a pluggable backend library for the Emscripten...
Contributor: Anushree Rankawat
Deep Learning Networks have proven to perform well for a wide range of problems, especially those requiring large labelled dataset to learn patterns....
Contributor: Antares
Investigate the viability of xtensor, a multi-dimensional array package which aims to bring the API feeling of NumPy to C++, in the ACTS...
Contributor: Mayur Bhosale
A large amount of 3D data is generated in High Energy Physics & Astrophysics experiments. To process this data efficiently, one would need...
Contributor: Jaydeep Nandi
High Energy Particle physics experiments typically generate a large amount of data. To analyze them requires significant computing resources. This is...
Contributor: Ayoub Chouak
Modular YAMPL The project fundamentally consists in developing a flexible plugin system that allows YAMPL to selectively load essential components at...
Contributor: tmplt
Allpix-Squared is a free and open-source simulation framework for silicon tracker and vertex detectors written in modern C++. Its goal is to...
Contributor: Ravi Kiran Selvam
The existing TMVA submodule has always used gradient descent to update the parameters and minimize the cost of the neural networks. More advanced...
Contributor: Ivantha
CERNBox is a cloud storage synchronisation service for CERN users: it allows syncing and sharing files on all major mobile and desktop platforms...
Contributor: Aleksandr Efremov
CLAD is a Clang plugin that implements automatic differentiation. Automatic differentiation avoids usual disadvantages of symbolic and numerical...
Contributor: Ashwin Samudre
ROOT is the data processing framework created at CERN - at the heart of the research on high-energy physics. Every day, thousands of physicists use...
Contributor: Aman Pratap Singh
Jupyter Notebook is an interactive computing environment that creates notebooks which contains computer code as well as rich text elements like...
Contributor: Asket Agarwal
Rucio produces large amounts of metadata for it’s files and datasets which is stored in a central Rucio server. However there is a fixed set of...
Contributor: SiddharthaRao Kamalakara
Deep Learning relies heavily on a large number of linear operations. Data parallelism is a consequence of this property of Deep Learning.GPUs are...
Contributor: Mikhail Ivchenko
This project aims at implementing a pure-Go BSD-3 client library for XRootD using Go builtin features for concurrency and scalability.
Contributor: Abhinav Kumar
One of the challenges faced in Particle Physics Experiment after the collision of particles in LHC is the reconstruction of the events.This includes...
Contributor: Emmanouil Stergiadis
The project's ultimate goal is to provide a GPU implementation for the existing Convolutional Neural Network package within root/tmva. During my...
Contributor: Yash Srivastava
The DIRAC Interware can handle hundreds of thousands of “jobs” daily. LHCb (the “beauty” experiment at the LHC) is DIRAC’s main user and developer....
Contributor: Mayank Modi
Magboltz solves the Boltzmann transport equations with numerical integration in order to simulate the interactions of electrons in gas mixtures under...
Contributor: Dima Savin
VecGeom is the new geometry library developed within the high-energy physics community, aiming to replace the legacy geometry navigation...
Contributor: David Tellenbach
Eigen is a C++ template library for linear algebra that aims for high performance in combination of high reliablity and good compiler support. A lot...
Contributor: Somesh Singh
The project targets optimizing the data structures and source code of a standalone tracking library, SixTrackLib, written in C. The aim is to...
Contributor: shravan97
The main objective of this project is to make it easier for researchers/developers to submit distributed jobs for analyzing datasets using TDataFrame...
Contributor: Tarang Mahapatra
Lightweight Sites is a project at CERN that enables the quick setup of new sites on the grid. Often, a lot of time is spent in setting up new sites...
Contributor: Dima Savin
Particle transport Monte Carlo simulations are a key tool for High Energy Physics experiments, including the LHC experiments at CERN. All Monte Carlo...
Contributor: Bastian Wieck
Fads is a fast detector simulation toolkit in Go used for High Energy Physics analyses. The current version is not very scalable and it takes up too...
Contributor: Saurav Shekhar
Toolkit for Multivariate Analysis (TMVA) is a machine learning toolkit for the ROOT scientific software framework. It contains a variety of...
Contributor: Vitalii Drohan
This is proposal for implementing suggested HPC aware infrastructure with workload balancer.
Contributor: Krishnan R
Jupyter Notebook is an interactive computing environment that is used to create notebooks which contain code, output, plots, widgets and theory....
Contributor: Dmitry Sorokin
Track of a charged particle in a non-uniform electromagnetic field can be described by the first-order initial value problem (IVP). Robustness and...
Contributor: George Papadrosou
Assess the performance of ROOT's asynchronous data prefetching compared to standard prefetching mechanism for reading remote ROOT files.
Contributor: Vyom Sharma
This project is aimed towards building a framework which monitors incoming ATLAS Computing Operations data for anomalies and then autonomously, acts...
Contributor: Alejandro García Montoro
ROOT is a data analysis software used by scientists all over the world; therefore, its efficiency is critical for the scientific community in general...
Contributor: Dong-hee Na
gopy is an excellent tool which generates (and compiles) a CPython extension module from a go package. And I hope more developers could make full use...
Contributor: Deepanshu Thakur
‘Effective Python routines for analysis on massively multi-threaded platforms-Python bindings for the Hydra C++ library'. The title of this project...
Contributor: Brian Lui
Toolkit for Multivariate Data Analysis (TMVA) is a multi-purpose machine learning toolkit integrated into the ROOT scientific software network, used...
Contributor: Rishi Shah
The CMS (Compact Muon Solenoid) is a high-energy physics experiment at the LHC. The CMS PhEDEx(Physics Experiment Data Export) project is responsible...
Contributor: Kunal_Singh_
Extracting shape information from simulated CMS events Using Tensorflow to train a DNN based on the shape of the hits, detector information and...
Contributor: Vladimir Ilievski
The Convolutional Neural Networks (CNNs) are one special type of a deep learning neural networks with an enormous discriminative power for image...
Contributor: Somesh Singh
The CUDA language, used for programming NVIDIA GPUs, is not dynamic-data-structure friendly since it was designed for working with data structures of...
Contributor: Sami Ullah
OpenML is an open source project that aims to create a novel ecosystem for machine learning experimentation. It is possible to integrate different...
Contributor: vikas gupta
PYTHIA is used for generation of events in high-energy collisions. Originally developed in fortran until Pythia6.4, it was rewritten in C++ starting...
Contributor: ajatgd
In the last few years, deep learning has led to very good performance on a variety of problems, such as visual recognition, speech recognition and...
Contributor: Vibhav Pant
WebAssembly (wasm) is a low level bytecode binary file format made for execution on the Web, designed as a compilation target for various programming...