Presentations

CHEP 2023

• Results from HEP-CCE: https://​indi​co​.jlab​.org/​e​v​e​n​t​/​4​5​9​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​1​1821/
• Using parallel I/O libraries for managing HEP experimental data: https://​indi​co​.jlab​.org/​e​v​e​n​t​/​4​5​9​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​1​1807/
• Porting ATLAS FastCaloSim to GPUs with Performance Portable Programming Models: https://​indi​co​.jlab​.org/​e​v​e​n​t​/​4​5​9​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​1​1809/
• Porting ATLAS FastCaloSim to GPUs with OpenMP Target Offloading [poster]: https://​indi​co​.jlab​.org/​e​v​e​n​t​/​4​5​9​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​1​1848/
• Porting ATLAS FastCaloSim to GPUs with std::par and with Alpaka [poster]: https://​indi​co​.jlab​.org/​e​v​e​n​t​/​4​5​9​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​1​1853/
• Evaluating Performance Portability with the CMS Heterogeneous Pixel Reconstruction code: https://​indi​co​.jlab​.org/​e​v​e​n​t​/​4​5​9​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​1​1824/ 
• Application of performance portability solutions for GPUs and many-core CPUs to track reconstruction kernels: https://​indi​co​.jlab​.org/​e​v​e​n​t​/​4​5​9​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​1​1844/
• A new portable random number generator wrapper library: https://​indi​co​.jlab​.org/​e​v​e​n​t​/​4​5​9​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​1​1852/ 
• Darshan for HEP applications: https://​indi​co​.jlab​.org/​e​v​e​n​t​/​4​5​9​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​1​1532/
• Madgraph5_aMC@NLO on GPUs and vector CPUs: experience with the first alpha release :https://​indi​co​.jlab​.org/​e​v​e​n​t​/​4​5​9​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​1​1829/

JSSPP 2023

• Asynchronous Execution of Heterogeneous Tasks in ML-driven HPC Workflows: https://​jsspp​.org/​i​n​d​e​x​.​p​h​p​?​p​a​g​e​=​p​r​ogram

ECP Community BOF Day: OpenMP BoF 2023

• FastCaloSim: OpenMP Target Offload
• Porting Wire-Cell-Gen to OpenMP backend

ACAT 2022

• Portable Programming Model Exploration for LArTPC Simulation in a Heterogeneous Computing Environment: OpenMP vs. SYCL: https://​indi​co​.cern​.ch/​e​v​e​n​t​/​1​1​0​6​9​9​0​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​4​9​9​1275/
• Evaluating Portable Parallelization Strategies for Heterogeneous Architectures: https://​indi​co​.cern​.ch/​e​v​e​n​t​/​1​1​0​6​9​9​0​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​4​9​9​1347/ 
• Application of Portable Parallelization Strategies for GPUs on track reconstruction kernels
  https://​indi​co​.cern​.ch/​e​v​e​n​t​/​1​1​0​6​9​9​0​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​4​9​9​1278/
• Speeding up Madgraph5_aMC@NLO through CPU vectorization and GPU offloading: towards a first alpha release https://​indi​co​.cern​.ch/​e​v​e​n​t​/​1​1​0​6​9​9​0​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​4​9​9​7226/ 
• Performance of modern color decompositions for standard candle LHC tree amplitudes https://​indi​co​.cern​.ch/​e​v​e​n​t​/​1​1​0​6​9​9​0​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​4​9​9​7238/ 
• Developments in Performance and Portability of BlockGen https://​indi​co​.cern​.ch/​e​v​e​n​t​/​1​1​0​6​9​9​0​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​4​9​9​7239/ 

PASC 2022

• Developing Parallelization Strategies and Evaluating Portability Layers for High Energy Physics Experiments: https://pasc22.pasc-conference.org/program/schedule/index.html%3Fpost_type=page&p=10&id=msa212&sess=sess167.html 

JSSPP 2022

• RADICAL-Pilot and PMIx/PRRTE: Executing Heterogeneous Workloads at Large Scale on Partitioned HPC Resources: https://​jsspp​.org/​i​n​d​e​x​.​p​h​p​?​p​a​g​e​=​p​r​o​g​ram22

ACAT 2021

• Evaluation of Portable Programming Models to Accelerate LArTPC Detector Simulations: https://​indi​co​.cern​.ch/​e​v​e​n​t​/​8​5​5​4​5​4​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​4​6​0​5003/ 

Supercomputing 2021

• Achieving near native runtime performance and cross-platform performance portability for random number generation through SYCL interoperability: https://​sc21​.super​com​put​ing​.org/​p​r​e​s​e​n​t​a​t​i​o​n​/​?​i​d​=​w​s​_​w​a​c​c​p​d​1​0​6​&​s​e​s​s​=​s​e​ss432 

vCHEP 2021

• Porting HEP Parameterized Calorimeter Simulation Code to GPUs: https://​indi​co​.cern​.ch/​e​v​e​n​t​/​9​4​8​4​6​5​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​4​3​2​3701/ 
• Evaluation of Portable Acceleration Solutions for LArTPC Simulation Using Wire-Cell Toolkit: https://​indi​co​.cern​.ch/​e​v​e​n​t​/​9​4​8​4​6​5​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​4​3​2​3675/ 
• Performance of CUDA Unified Memory in CMS Heterogeneous Pixel Reconstruction
  https://​indi​co​.cern​.ch/​e​v​e​n​t​/​9​4​8​4​6​5​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​4​3​2​4112/

IRIS-HEP Ecosystems Workshop (2022/11/7)

• HEP-CCE Overview: https://​indi​co​.cern​.ch/​e​v​e​n​t​/​1​2​0​3733/ 

HSC Compute Accelerator Forum

• 2023/06/14: HEP-CCE Report: https://​indi​co​.cern​.ch/​e​v​e​n​t​/​1​2​0​3733/
• 2022/02/09: HEP-CCE Status: https://​indi​co​.cern​.ch/​e​v​e​n​t​/​1​0​7​3639/ 

IRIS-HEP Topical Meetings:

• 2021/08/04 HEP-CCE: Portable Parallelization Strategies: https://​indi​co​.cern​.ch/​e​v​e​n​t​/​1​0​6​3482/

Snowmass Computational Frontier Workshop (August 10-11, 2020):

HEP-CCE Report: https://​indi​co​.fnal​.gov/​e​v​e​n​t​/​4​3​8​2​9​/​c​o​n​t​r​i​b​u​t​i​o​n​s​/​1​9​2904/

• Paolo Calafiura - ​“High Energy Physics Center for Computational Excellence” presented at the ECP Annual Meeting (agenda password protected)
• Charles Leggett – Opening talk at May 2020 HSF WLCG Virtual Workshop on New Architectures, Portability, and Sustainability

Papers

• M. Atif et al., Evaluating Portable Parallelization Strategies for Heterogeneous Architectures in High Energy Physics, (2023). http://​arx​iv​.org/​a​b​s​/​2​3​0​6​.​15869 , arXiv:2306.15869 [hep-ex]
• V.D. Elvira et al., The Future of High Energy Physics Software and Computing, in: Snowmass 2021, 2022. http://​arx​iv​.org/​a​b​s​/​2​2​1​0​.​05822 , arXiv:2210.05822 [hep-ex]
• G. Cerati et al., Snowmass Computational Frontier: Topical Group Report on Experimental Algorithm Parallelization, (2022). http://​arx​iv​.org/​a​b​s​/​2​2​0​9​.​07356 , arXiv:2209.07356 [hep-ex]
• M. Bhattacharya et al., Portability: A Necessary Approach for Future Scientific Software, in: Snowmass 2021, 2022. http://​arx​iv​.org/​a​b​s​/​2​2​0​3​.​09945 , arXiv:2203.09945 [physics.comp-ph]
• Bashyal, A., et al. ​“Data Storage for HEP Experiments in the Era of High-Performance Computing” Snowmass Summer Study (2022). https://​arx​iv​.org/​a​b​s​/​2​2​0​3​.​07885 arXiv:2203.07885
• Bhimji, W., et al. ​“Snowmass 2021 Computational Frontier CompF4 Topical Group Report Storage and Processing Resource Access.” Computing and Software for Big Science 7.1 (2023): 5., https://​arx​iv​.org/​a​b​s​/​2​2​0​9​.​08868 
• Lin, Meifeng, et al. ​“Portable Programming Model Exploration for LArTPC Simulation in a Heterogeneous Computing Environment: OpenMP vs. SYCL.” arXiv preprint arXiv:2304.01841 (2023).
• Dong, Zhihua, et al. ​“Evaluation of Portable Programming Models to Accelerate LArTPC Detector Simulations.” Journal of Physics: Conference Series. Vol. 2438. No. 1. IOP Publishing, 2023.
• Yu, Haiwang, et al. ​“Evaluation of Portable Acceleration Solutions for LArTPC Simulation Using Wire-Cell Toolkit.” EPJ Web of Conferences. Vol. 251. EDP Sciences, 2021.
• Bothmann, Enrico, et al. Many-gluon tree amplitudes on modern GPUs: A case study for novel event generators, SciPost Phys. (2022), DOI: 10.21468/SciPostPhysCodeb.3, arXiv:2106.06507 [hep-ph]
• Bothmann, Enrico, et al. QCD tree amplitudes on modern GPUs: A case study for novel event generators, PoS ICHEP2022, 222.
• Valassi, Andrea, et al. Developments in Performance and Portability for MadGraph5_aMC@NLO, PoS ICHEP2022 (2022), 212, arXiv: 2210.11122 [physics.comp-ph]
• Bothmann, Enrico, et al. Efficient phase-space generation for hadron collider event simulation, arXiv:2302.10449 [hep-ph].
• Pascuzzi, Vincent and Mehdi Goli, Mehdi. ​“Benchmarking a Proof-of-Concept Performance Portable SYCL-based Fast Fourier Transformation Library”, IWOCL’22: International Workshop on OpenCL, May 2022, Article No.: 20, Pages 1-9, DOI: 10.1145/3529538.3529996
• Pascuzzi, Vincent and Mehdi Goli, Mehdi. ​“Achieving near native runtime performance and cross-platform performance portability for random number generation through SYCL interoperability”, arXiv:2109.01329
• Pascuzzi, V., Kilic, O., Turilli, M., Jha, S. ​“Asynchronous Execution of Heterogeneous Tasks in ML-driven HPC Workflows”, 26^th edition of the workshop on Job Scheduling Strategies for Parallel Processing. JSSPP23, DOI: 10.48550/arXiv.2208.11069
• Pascuzzi, V., Turilli, M., Jha, S. ​“AI-coupled HPC Workflows” arXiv: 2208.11745
• Titov, M., Turilli, M., Merzky, A., Naughton, T., Elwasif W., Jha, S., ​“RADICAL-Pilot and PMIx/PRRTE: Executing Heterogeneous Workloads at Large Scale on Partitioned HPC Resources” (2022) doi:10.1007/978-3-031-22698-4
• Kortelainen, Matti, et al. ​“Porting CMS Heterogeneous Pixel Reconstruction to Kokkos”, EPJ Web of Conferences 251, 03034 (2021). doi:10.1051/epjconf/202125103034
• Bocci, Andrea, et al. ​“Performance portability for the CMS Reconstruction with Alpaka”, J. Phys.: Conf. Ser. 2438 012058 (2023). doi:10.1088/1742-6596/2438/1/012058
• Childers, Taylor, et al. ​“Porting CMS Heterogeneous Pixel Reconstruction to Kokkos.” vCHEP 2021. arXiv:2104.06573v1. Slides. 
• Dong, Zhihua, et al. ​“Porting HEP Parameterized Calorimeter Simulation Code to GPUs.” Frontiers in Big Data. arXiv:2103.14737v2. Slides.
• Kortelainen, Matti J., et al. ​“Performance of CUDA Unified Memory in CMS Heterogeneous Pixel Reconstruction.” vCHEP 2021. Paper. Slides.
• Pascuzzi, Vincent R., Goli, Mehdi. ​“Achieving Near Native Runtime Performance and Cross-Platform Performance Portability for Random Number Generation Through SYCL Interoperability.” arXiv:2109.01329
• Yu, Haiwang, et al. ​“Evaluation of Portable Acceleration Solutions for LArTPC Simulation Using Wire-Cell Toolkit.” vCHEP 2021. arXiv:2104.08265v1. Slides.