CERN-HSF
Umbrella for Particle Physics-related projects
- 239
- Projects
- 10
- Years accepted
- 26
- In 2026
Projects by year
2392026
26 acceptedShow
ML Inference on heterogeneous architectures using SOFIE
Accepted project · by _HarshChauhan_
SOFIE generates standalone C++ inference code from trained neural networks, letting HEP frameworks run ML models without heavy external dependencies....
Publication of OmniFold Weights A Standardized Format for ML Based Unfolding Results
Accepted project · by Aashirvad
OmniFold produces per-event weights that cannot be reused without the original analysis environment. The original OmniFold paper deposited input...
Enabling Differentiable Rendering via AD of Parallel C++ STL Primitives in Clad
Accepted project · by Abdelrhman Elrawy
This project proposes to enhance Clad, a Clang-based automatic differentiation (AD) tool, by leveraging its liveness analysis to automatically...
Fine grained storage for the DUNE experiment
Accepted project · by 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...
BOA Constrictor: Benchmarking Neural Backbones for HEP Data Compression
Accepted project · by 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...
EKO Oxidation: Maturing the Rust Core of EKO
Accepted project · by AkshatRai07
EKO (Evolution Kernel Operators) is a foundational Python library used in high-precision particle physics that currently faces performance...
HTCondor Live Tools with Solution Memory
Accepted project · by Antonio Battaglia
This project enhances the Archi framework by enabling real-time interaction with HTCondor job scheduling infrastructure and introducing a persistent...
Apache Arrow Interface for PODIO
Accepted project · by 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...
Characterizing I/O Performance for ML Data Loaders at Scale using Darshan
Accepted project · by AtikSantellan
Modern machine learning workflows in High Energy Physics increasingly rely on large-scale datasets, where the data-loading stage can become a primary...
Automated Software Performance Monitoring for the ATLAS experiment
Accepted project · by Douglas Lindsay
At present, software regression testing at ATLAS is predominantly performed manually via inspection of metrics on the ATLAS project management board....
Clad as a First-Class Gradient Engine in LibTorch
Accepted project · by 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...
Parallel Processing Improvements in Julia Jet Reconstruction
Accepted project · by 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...
S3 Backend for RNTuple
Accepted project · by 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...
Implement CppInterOp API exposing memory ownership and thread safety
Accepted project · by 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...
Debugging CVMFS Processes in D-State
Accepted project · by L Venkata Subramanyam
This project proposes to build diagnostic tooling for extracting debugging information from CVMFS processes stuck in uninterruptible sleep (D-state),...
CARTopiaX: Extending a Next-Generation Platform for Computational Cancer Biology
Accepted project · by 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...
AI-Assisted PostgreSQL Optimization Using EXPLAIN Plans
Accepted project · by Sarthak18
Nopayloaddb is used to serve time-sensitive conditions data for high-energy physics (HEP) experiments, so performance is critical: slow IOV lookups...
Debuggable Installations for Spack Packages
Accepted project · by SebastianPaucar
Spack is a dominant HPC package manager that automates scientific software installation, widely used in the HEP community. Spack builds software in...
Data Representation Optimization for ML-based calorimeter simulation
Accepted project · by 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...
Integration of Combine with FCCAnalyses
Accepted project · by 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...
Enabling Sustainable ARM Support for the Belle II Software
Accepted project · by 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...
Generative-AI Assisted Testing of Complex Stacks of Spack Packages
Accepted project · by VaishnaviMishra
The Problem: Spack’s combinatorial flexibility makes exhaustive CI testing computationally impossible. Current CI focuses almost exclusively on...
Constellation Web Interface for Controlling and Monitoring Experimental Setups
Accepted project · by VanitasCodes
During late-night beam tests, physicists must leave detector halls to find workstations with Qt installed just to check satellite status. This...
Consolidate and advance the GPU infrastructure in Clad
Accepted project · by 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...
Transformer based Reconstruction for LHCb PicoCal Calorimeter
Accepted project · by Worakan Lasudee
Current LHCb calorimeter reconstruction uses rule-based clustering without exploiting timing or learned representations. The PicoCal upgrade will...
AI-Accelerated Signal Reconstruction for the ATLAS Tile Calorimeter at the HL-LHC
Accepted project · by XBastille
The ATLAS Tile Calorimeter (TileCal) currently reconstructs energy using a linear signal-processing method. For the Phase-II HL-LHC upgrade, readout...
2025
25 acceptedShow
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...
Implement and improve an efficient, layered tape with prefetching capabilities
Accepted project · by Aditi Milind Joshi
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...
Physics-Constrained Autoencoders: Intelligent Compression in High Energy Physics
Accepted project · by 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....
Evaluating CVMFS for Machine Learning Model Distribution
Accepted project · by 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....
Enable automatic differentiation of OpenMP programs with Clad
Accepted project · by 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...
Background Enrichment augmented Anomaly Detection (BEAD)– Contrastive VAE & Transformer Architecture
Accepted project · by JohnKala
This project aims to enhance the BEAD framework for anomaly detection in high-energy physics by developing a new multi-stage architecture that...
Benchmarking Sustainability of Classical & Quantum Algorithms for particle trajectory reconstruction
Accepted project · by KaranSingh
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...
Implement activity analysis for reverse-mode differentiation of (CUDA) GPU kernels
Accepted project · by Maksym Andriichuk
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...
Intelligent Log Analysis for the HSF Conditions Database
Accepted project · by 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...
Improve automatic differentiation of object-oriented paradigms using Clad
Accepted project · by Petro Zarytski
The project addresses a limitation in Clad, a Clang plugin for C++ automatic differentiation, which currently cannot fully support non-trivially...
TMVA SOFIE - Enhancing Keras Parser and JAX/FLAX Integration
Accepted project · by Prasanna Kasar
The SOFIE (System for Optimized Fast Inference Code Emit) project is an initiative within the TMVA (Toolkit for Multivariate Data Analysis) framework...
Enhancing LLM Training Efficiency with Clad for Automatic Differentiation in C++
Accepted project · by Rohan Timmaraju
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...
GreenML@CERN – A Comprehensive Framework for Energy-Efficient Scientific Machine Learning
Accepted project · by 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...
CARTopiaX: an Agent-Based Simulation of CAR T-Cell Therapy built on BioDynaMo
Accepted project · by 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...
Data Representation Optimisation for Generative Model-based Fast Calorimeter Shower Simulation
Accepted project · by Tarun Nandi
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...
2024
17 acceptedShow
- Integrate a Large Language Model with the xeus-cpp Jupyter kernelTharun A
- Implement Differentiating of the Kokkos Framework in Cladatell krasnopolsky
- MCnet/Rivet+YODA CI-based Multi-Arch Docker and Code CoverageAbhiramsai
- Geant4-FastSim - Fast inference of Diffusion modelsMikołaj Piórczyński
- SOFIE Developments - Inference Code Generation for Deep Learning modelsVedant Mehra
- Improving performance of BioDynaMo using ROOT C++ ModulesIsaac Morales
- Any Collection in Data Model ExplorerBraulio Rivas
- Superbuilds for ROOTpsvirin
- Julia interoperating with HEP C++ librariesYash Solanki
- Containerization of CBACK backup systemYashrajSingh
- Add support for consteval and constexpr functions in cladMihail Mihov
- CVMFS: Benchmarking of new FUSE featuresYuriy Belikov
- Lossless compression of raw data for the ATLAS experiment at CERNIshan Darji
- Reverse-mode automatic differentiation of GPU kernels using CladChristina Koutsou
- Incorporating a Large Language Model in Ganga to assist usersAryabhatta Dey
- (MCnet/LHAPDF) Online dashboard and data-visualisation for parton density functionsArnab Mukherjee
- Machine Learning in Julia for Calorimeter ShowersDaniel Regado
2023
16 acceptedShow
- Extend the Cppyy support in NumbaAaron Jomy
- Deep Autoencoders for Scientific Data CompressionAman Singh Thakur
- MCnet/LHAPDF - Test Suite and Coverage for Parton Density CalculationsArjun Taneja
- Geant4-FastSim: Transformer-based architecture for fast shower simulationChenguang Guan
- Improve automatic differentiation of object-oriented paradigms using CladDaemond Zhang
- Extend and improve the CERNBox Notifications platformdaniel-rey
- Belle II Event Display with PhoenixHieu Le Cong Minh
- Graph Construction for Charged Particle Tracking using Point Cloud NetworksJian Park
- Estimating the energy cost of scientific softwareManas Pratim Biswas
- Leverage Spark Connect for interactive data analysis in Jupyter NotebooksMuhammad Aditya Hilmy
- ROOT - TMVA SOFIE Developments - Inference Code Generation for Deep Learning modelsNeel Shah
- Enable cross-talk between Python and C++ kernels in xeus-clang-REPL by using CppyySmit Shah
- Improving the sense of scale and navigation in high energy physics event visualizationSomya Bansal
- Real-time lossless data compression for the FASER experimentSumalyo Datta
- Implement vector mode in forward mode automatic differentiation in CladVaibhav Thakkar
- RooFit - Pythonic interaction with the RooWorkspaceYash Solanki
2022
21 acceptedShow
- [IRIS-HEP] Uproot + DaskKush Kothari
- ROOT - Automatic conversion of data stored in TTree form to RNTupleZephyr
- Acts GPU R&D - Optimization of GPU tracking pipelineKavishka Attanayake
- Implementation of a Python library that generalizes the CLUE clustering algorithmSimoneBalducci
- ROOT - TMVA SOFIE Developments - Inference Code Generation for Deep Learning modelsNeel Shah
- Add Initial Integration of Clad with EnzymeManish Kausik
- ROOT - Machine Learning Developments - Batch Generator for training machine learning modelsSanchi Mittal
- Vectorized Linear Algebra Implementation for ACTSTirthankar Mazumder
- Symplectic IntegratorsDivyansh Tiwari
- A concurrency model for the monitoring in GangaGiorgos Apostolopoulos
- Geant4-FastSim - Memory footprint optimization for ML fast shower simulationPriyam Mehta
- Project Proposal Geant4-FastSim - ML pipeline optimization using KubeflowGuneet Singh Kohli
- Interfacing PODIO to JuliaSoumil Baldota
- Geant4 - Performance Data Visualization using d3.jsHarshil Jani
- Optimize ROOT use of modules for large codebasesJun Zhang
- Advanced Belle II Software Validationarul
- Rucio WebUI RevampNimish B
- TMVA Developments - Improve Python interface for TMVAHarshal Shende
- Electromagnetic Cluster Finding on GPUsUjwal Kundur
- Revamped Testing Infrastructure for PhoenixMohammad Humayun Khan
- MadAnalysis 5 - Integration of theoretical uncertainty calculation with multi-weight integrationKyle Fan
2021
25 acceptedShow
- OpenForBCAneesh Chawla
- Add support for in-browser interactive averaging of physics resultsHarsh Prakash Gupta
- Accuracy and parallel computation in parton density calculationTushar Jain-2
- Add numerical differentiation support in Cladgrimmmyshini
- Upgrading the Ganga Graphical User InterfaceGurudatta Patil
- Single precision support for GPU acceleration in VecGeomMartin Kostelník
- Implementing an application for visualizing the LHCb DAQ networkAnurag Akella
- Portability for the Patatrack Pixel Track Reconstruction with AlpakaAdrian-Antonio Petre
- Add support for functor objects in cladparth-07
- Deep autoencoders for ATLAS data compressionGeorge Dialektakis
- Enhancing the Plotting Functionality in MCnet/RivetSimon Thor
- Logging, Unit Test Infrastructure and Precooked Sources for PRMONAnubhab Das
- CernVM-FS preload capabilityRohit Topi
- TMVA Deep Learning Developments - Inference Code Generation for Batch NormalizationAaradhya Saxena
- Utilize second order derivatives from Clad in ROOTBaidyanath Kundu
- RooUnfold - Efficient deconvolution using state of the art algorithmsArchit_Agrawal
- New protocols for exascale data management with RucioRakshita Varadarajan
- Upgrading the Ganga graphical user interfaceMonalisha Ojha
- Inference Code Generation for Recurrent Neural NetworksAhmat Hamdan
- ROOT Storage of Deep Learning models in TMVASanjiban Sengupta
- Implementation of Physical Shape FunctionAman Verma
- Rucio and CS3API to enable data management for the ScienceMesh cloudRahul Chauhan-1
- RooFit Development - Intuitive Python bindings for RooFitHarshal Anil Shende
- Modern Plotting Machinery for the Large Hadron Collider's Monte Carlo Event Analysis ToolMatthew Filipovich
- Runtime plugin ecosystem support for OCISJimil Desai
2020
34 acceptedShow
- Enable Modules on WindowsVaibhav Garg
- Implementation of Gilbert-Johnson-Keerthi Algorithm for Convex Shapes in VecGeomAndrei Mihailescu
- Manipulation of massive astronomical data using graphsYash Datta
- Phoenix - Experiment Independent Event DisplayFawad
- GeoModelExplorer: improving interactive 3D geometry visualization tool based on Qt3DHuajian Qiu
- Kubernetes operator for XRootDShivansh Saini
- Reduce boost dependence in CMSSWLucas Camolezi
- Falcon: Fast Simulation using Deep Generative ModelsAli Hariri
- Graph Neural NetworksStanislav Lukyanenko
- Fast Merging of RNTuple Data SetsMax Orok
- TMVA Interfaces - PytorchAnirudh Dagar
- (QMLHEP Proposal) Quple - Quantum Machine Learning Framework for High Energy PhysicsChi Lung Cheng
- Extend SkyhookDM programmable object storage with statistics, sort/aggregate or data compaction functions.aditigupta17
- Framework for Automating the Retrieval and Analysis of System Information of Grid sites in WLCGKalana Wijethunga
- Upgrading the Ganga user interface to use a relational database for persistent storageRatin Kumar
- MCnet/Rivet - Speed and accuracy in the LHC's MC analysis toolAditya Kumar-2
- Cosmic-Ray Imaging Studies via Mission-Imagery from Space (CRISMIS)Nidhi Hegde
- Intelligent Alert Management System For HEP experimentsRahul Indra
- MCnet/YODANick Rozinsky
- Implementation of Graphical User Interface for GangaVarun Bankar
- CernVM-FS: Podman cvmfs integrationMohit Tyagi
- Pre-conditioners applied to ROOT compression algorithmsKeisuke Kamahori
- Native Desktop Application for RucioVivek Nigam
- Awkward Array GPU KernelsAnish Biswas
- Development of 3D CNN in TMVASurya S Dwivedi
- Building a Python-based framework for Unsupervised Deep Learning applications in strong lensing cosmologyK Pranath Reddy
- Deep Learning Algorithms for Muon Momentum Estimation in the CMS Trigger SystemPrateek Agnihotri
- Support for Rucio Users with Natural Language ProcessingVasilis Mageirakos
- Local replica of JAliEn central services for research and developmentdrholmie
- Workflow configuration import and validation for AliECSAyaan Zaidi
- Integration of Rucio in JupyterLab for SWANMuhammad Aditya Hilmy
- End-to-End Deep Learning Reconstruction for CMS ExperimentShravan Chaudhari-1
- Hist: histogramming for analysis powered by boost-histogramShuo Liu
- Deep-compression for HEP dataHoney Gupta
2019
29 acceptedShow
- CERN Awkward Array ProjectCharles Escott
- Optimisation of the Ganga toolkit in terms of memory consumption and persistent storage.Ishan Rai
- Proposal for Atlas Experiment - Hasan ÖztürkHasan Öztürk
- Novel Applications of Zstandard (ZSTD) compression algorithm to ROOTAlfonso
- Package manager for Jupyter Notebook / SWANAkash Ravi
- VectorFlowArturo Garza Rodriguez
- Tools for Understanding CMS Data AccessJonathan Guiang
- Implement Event based Seeding and Multi-ThreadingMohamed Moanis Ali
- Building a Python-based Analysis tool for AWAKE experimentAman Singh Thakur
- Kalman Filter in RustBrooks Karlik
- Implementation and Optimisation in ACTS of algorithms exposed in TrackML challengeSharad Chitlangia
- SIMT to SPMD TranslationPradeep Kumar S
- Experiment independent display framework and data formatEmilio Cortina Labra
- Implement a GlobalModuleIndex in ROOT and ClingArpitha Raghunandan
- Generative Adversarial Networks for Particle Physics ApplicationsAshish Kshirsagar
- Proposal for the Implementation of an HDF5 IO Layer for PODIOShrey Aryan
- Python Components for the SIMPLE Grid FrameworkSneha Sinha
- Molr - OperationalHimanshu Sahu
- Rucio - Exascale Data ManagementRuturaj Gujar
- Development of LSTM and GRU layers in TMVASurya S Dwivedi
- Monitoring DIRAC ComponentsPujan Mehta
- Real-time conditions data distribution for the Online data processing of the ALICE experimentdanieldo
- CERNBox: Bring Your Own ApplicationMohit Tyagi
- Creation and usage of disposable Spark on Kubernetes cluster from SWAN notebookSahil Jajodia
- Testing framework for Jupyter notebooksDivya Rani
- Create a user interface for Ganga that allows for the execution of tasks inside user specified virtual machines.Inzamam Iqbal
- Distributed Computing Resources: aggregation, usage, monitoringAmarnath Karthi
- Alert Redistribution System for Fink : an Apache Spark based Broker for AstronomyAbhishek Chauhan
- Generating Hessians and Jacobians via CLADJack Qiu
2018
26 acceptedShow
- FALCONHanlin Tang
- Recurrent Neural Networks and LSTMs on GPUs for Particle Physics ApplicationsHarshit Prasad
- CernVM-FS powered WebAssembly I/OSaurav Sachidanand
- Generative Adversarial Networks for Particle Physics ApplicationsAnushree Rankawat
- CPU Race for Particle HuntingAntares
- Spark3D: Extend Apache Spark to support 3D Spatial DatasetsMayur Bhosale
- DIANA-HEP: Analysis Functions:: Implementation and optimization of common particle physics analysis algorithms in a functional paradigmJaydeep Nandi
- Modular YAMPLAyoub Chouak
- Improve multi-threading support for CERN’s Allpix-Squared project using dependency graphstmplt
- Development of the Deep Learning Optimization Algorithms in TMVA.Ravi Kiran Selvam
- Petabyte-Scale Cloud Storage File ManagerIvantha
- Extend clad - The Automatic DifferentiationAleksandr Efremov
- ROOT package managerAshwin Samudre
- Large-scale computing backend for Jupyter notebooks - HTCondor batch job submission and monitoring using the Ganga toolkitAman Pratap Singh
- Rucio : Billion-row scalable and flexible metadataAsket Agarwal
- Variational Autoencoders on GPUs for particle physics applicationsSiddharthaRao Kamalakara
- Pure-Go XRootD client implementationMikhail Ivchenko
- HAhRD: DeepReconstructionAbhinav Kumar
- Convolutional Deep Neural Networks on GPUs for Particle Physics ApplicationsEmmanouil Stergiadis
- Monitoring and traceability of jobs using ElasticSearch - DIRACYash Srivastava
- Open-Source Simulations for Gas Detector on PythonMayank Modi
- GDML I/O for VecGeom Geometry PackageDima Savin
- Faster Matrix Algebra for ATLASDavid Tellenbach
- Optimize and Integrate Standalone Tracking Library (SixTrackLib)Somesh Singh
- Distributed Big Data Analysis with TDataFrameshravan97
- Configuration of Lightweight Sites Components using AnsibleTarang Mahapatra
2017
20 acceptedShow
- Using Pseudo-random number repeatably in a fine-grain multithreaded simulationDima Savin
- Jet Clustering Optimizations in FadsBastian Wieck
- Convolutional Deep Neural Networks on GPUs for Particle Physics ApplicationsSaurav Shekhar
- Optimisation of GeantV HPC workload balancingVitalii Drohan
- Big Data Tools for Physics AnalysisKrishnan R
- New error control methods for integration of trajectoriesDmitry Sorokin
- Assess ROOT's asynchronous data prefetchingGeorge Papadrosou
- Deep AnomalyVyom Sharma
- Improvements in vectorization and parallelization of ROOT Math librariesAlejandro García Montoro
- Updating gopy to support Python3 and PyPyDong-hee Na
- Efficient Python routines for analysis on massively multi-threaded platforms-Python bindings for the Hydra C++ libraryDeepanshu Thakur
- Machine Learning Project: Multi-target Regression for Particle PhysicsBrian Lui
- Next generation of CMS data replication systemRishi Shah
- Automatic code generation for fast inference in the CMS tracking softwareKunal_Singh_
- Convolutional Deep Neural Networks on GPUs for Particle Physics ApplicationsVladimir Ilievski
- Smart Data Structures in CUDASomesh Singh
- Integration of TMVA and OpenML platformSami Ullah
- Electron-ion collision in Pythia8vikas gupta
- Convolutional Deep Neural Networks on GPUs for Particle Physics Applicationsajatgd
- Launching Wagon, a WebAssembly interpreter in GoVibhav Pant
Public proposals
2- CERN HSF proposal by Somya Bansal2023 · Somya Bansal · Accepted · from COPS-IITBHU/GSoC-Accepted-Proposals
- CERN-HSF proposal by Shivansh Saini2020 · Shivansh Saini · Accepted · from COPS-IITBHU/GSoC-Accepted-Proposals
Read them for structure, not to copy. All proposals for CERN-HSF.
