Difference between revisions of "Fortnight Papers"

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The EPSCI group attempts to keep up with recent software activities in the field by reviewing another paper every fortnight(=2 weeks). The table below lists the papers themselves along with links to any discussion notes. Most of these we will try and pull from journals listed on the [[EPSCI publications page]], however papers from any source may be considered . Suggestions for papers to review are welcome!
 
The EPSCI group attempts to keep up with recent software activities in the field by reviewing another paper every fortnight(=2 weeks). The table below lists the papers themselves along with links to any discussion notes. Most of these we will try and pull from journals listed on the [[EPSCI publications page]], however papers from any source may be considered . Suggestions for papers to review are welcome!
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! Discussion date
 
! Discussion date
 
! Discussion Notes
 
! Discussion Notes
 +
|-
 +
| [https://arxiv.org arXiv.org] <!-- Cissie suggestion -->
 +
| [https://arxiv.org/abs/2304.04297 AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources]
 +
| 2024-03-13
 +
| [[Discussion of: AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources]]
 +
|-
 +
| [https://arxiv.org arXiv.org]
 +
| [https://arxiv.org/pdf/2312.15640.pdf DOE/NSF Workshop on Correctness in Scientific Computing]
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| 2024-01-17
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| [[Discussion of: DOE/NSF Workshop on Correctness in Scientific Computing]]
 +
|-
 +
| [https://www.sciencedirect.com/journal/computer-physics-communications CPC]
 +
| [https://www.sciencedirect.com/science/article/pii/S0010465523001285?via%3Dihub Deep learning level-3 electron trigger for CLAS12]
 +
| 2023-10-04
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| [[Discussion of: Deep learning level-3 electron trigger for CLAS12]]
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|-
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| [https://www.hpdc.org/2023/ HPDC'23]
 +
| [http://pasalabs.org/papers/2023/auto-hpcnet_hpdc23.pdf Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing Applications]
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| 2023-08-09
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| [[Discussion of: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing Applications]]
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|-
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| [https://arxiv.org/abs/2306.04974 arXiv.org]
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| [https://arxiv.org/pdf/2306.04974 Conservative Prediction via Data-Driven Confidence Minimization]
 +
| 2023-07-05
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| [[Discussion of: Conservative Prediction via Data-Driven Confidence Minimization]]
 +
|-
 +
| [https://arxiv.org arXiv.org]
 +
| [https://arxiv.org/pdf/2301.02432.pdf Myths and Legends in High-Performance Computing]
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| 2023-02-15
 +
| [[Discussion of: Myths and Legends in High-Performance Computing]]
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|-
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| [https://ieeexplore.ieee.org/Xplore/home.jsp IEEE''Xplore'']
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| [https://ieeexplore.ieee.org/document/9790352 Energy-Aware Non-Preemptive Task Scheduling With Deadline Constraint in DVFS-Enabled Heterogeneous Clusters]
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| 2023-01-18
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| [[Discussion of: Energy-Aware Non-Preemptive Task Scheduling With Deadline Constraint in DVFS-Enabled Heterogeneous Clusters]]
 +
|-
 +
| [https://link.springer.com/journal/41781 Computing & Software For Big Science]
 +
| [https://link.springer.com/article/10.1007/s41781-022-00085-3 Future Trends in Nuclear Physics Computing]
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| 2022-07-06
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| [[Discussion of: Future Trends in Nuclear Physics Computing]]
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|-
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| [https://arxiv.org arXiv.org]
 +
| [https://arxiv.org/abs/1706.01520v2 The Convergence of Markov chain Monte Carlo Methods: From the Metropolis method to Hamiltonian Monte Carlo]
 +
| 2022-06-22
 +
| [[Discussion of: The Convergence of Markov chain Monte Carlo Methods: From the Metropolis method to Hamiltonian Monte Carlo]]
 +
|-
 +
| [https://distill.pub/ Distill]
 +
| [https://distill.pub/2021/multimodal-neurons Multimodal Neurons in Artificial Neural Networks]
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| 2022-05-11
 +
| [[Discussion of: Multimodal Neurons in Artificial Neural Networks]]
 +
|-
 +
| [https://www.nature.com/ Nature]
 +
| [https://www.nature.com/articles/s41586-021-04301-9.pdf Magnetic control of tokamak plasmas through deep reinforcement learning]
 +
| 2022-03-30
 +
| [[Discussion of: Magnetic control of tokamak plasmas through deep reinforcement learning]]
 +
|-
 +
| [https://arxiv.org arXiv.org]
 +
| [https://arxiv.org/abs/2202.03509 A 20 Gbps PAM4 Data Transmitter ASIC for Particle Physics Experiments]
 +
| 2022-03-02
 +
| [[Discussion of: A 20 Gbps PAM4 Data Transmitter ASIC for Particle Physics Experiments]]
 +
|-
 +
| [https://www.sciencedirect.com/journal/engineering-applications-of-artificial-intelligence EAoAI]
 +
| [https://www.sciencedirect.com/science/article/abs/pii/S095219762030292X A tutorial on solving ordinary differential equations using Python and hybrid physics-informed neural network]
 +
| 2022-02-02
 +
| [[Discussion of: A tutorial on solving ordinary differential equations using Python and hybrid physics-informed neural network]]
 +
|-
 +
| [https://www.sciencedirect.com/journal/nuclear-instruments-and-methods-in-physics-research-section-a-accelerators-spectrometers-detectors-and-associated-equipment NIM]
 +
| [https://www.sciencedirect.com/science/article/pii/S0168900221006513 Classical and machine learning methods for event reconstruction in NeuLAND]
 +
| 2022-01-19
 +
| [[Discussion of: Learning Classical and machine learning methods for event reconstruction in NeuLAND]]
 +
|-
 +
| [https://arxiv.org/ arXiv.org]
 +
| [https://arxiv.org/pdf/1512.04150.pdf Learning Deep Features for Discriminative Localization]
 +
| 2021-11-01
 +
| [[Discussion of: Learning Deep Features for Discriminative Localization]]
 +
|-
 +
| [https://ieeexplore.ieee.org/Xplore/home.jsp IEEE]
 +
| [https://ieeexplore.ieee.org/abstract/document/9415577 Moving Compute towards Data in Heterogeneous multi-FPGA Clusters using Partial Reconfiguration and I/O Virtualisation]
 +
| 2021-09-27
 +
| [[Discussion of: Moving Compute towards Data in Heterogeneous multi-FPGA Clusters using Partial Reconfiguration and I/O Virtualisation]]
 +
|-
 +
| [https://www.journals.elsevier.com/computer-physics-communications CPC]
 +
| [https://www.sciencedirect.com/science/article/abs/pii/S0010465519301250 Real-time data processing in the ALICE High Level Trigger at the LHC]
 +
| 2021-08-30
 +
| [[Discussion of: RT data processing for ALICE HLT]]
 +
|-
 +
| [https://arxiv.org/ arXiv.org]
 +
| [https://arxiv.org/pdf/1703.06870.pdf Mask R-CNN]
 +
| 2021-07-19
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| [[Discussion of: Mask R-CNN]]
 +
|-
 +
| (multi)
 +
|
 +
* [https://arxiv.org/pdf/1209.5145.pdf Julia paper]
 +
* [https://m.youtube.com/watch?v=nwdGsz4rc3Q YouTube talk]
 +
* [https://julialang.org/blog/2019/01/fluxdiffeq/#what_do_differential_equations_have_to_do_with_machine_learning Neural ODEs w/ Julia (blog)]
 +
| 2021-06-21
 +
| [[Discussion of: Julia]]
 +
|-
 +
| [https://www.sciencedirect.com/journal/nuclear-instruments-and-methods-in-physics-research-section-a-accelerators-spectrometers-detectors-and-associated-equipment NIM]
 +
| [https://www.sciencedirect.com/science/article/pii/S0168900220308391#b10 Throttling strategies and optimization of the trigger-less streaming DAQ system in the CBM experiment]
 +
| 2021-06-07
 +
| [[Discussion of: Throttling strategies and optimization of the trigger-less streaming DAQ system in the CBM experiment |discussion]]
 +
|-
 +
| [https://ieeexplore.ieee.org/Xplore/home.jsp IEEE Xplore]
 +
| [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9369420 Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications]
 +
| 2021-05-24
 +
| [[Discussion of: Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications |discussion]]
 
|-
 
|-
 
| [https://www.journals.elsevier.com/computer-physics-communications CPC]
 
| [https://www.journals.elsevier.com/computer-physics-communications CPC]

Latest revision as of 21:07, 6 February 2024

The EPSCI group attempts to keep up with recent software activities in the field by reviewing another paper every fortnight(=2 weeks). The table below lists the papers themselves along with links to any discussion notes. Most of these we will try and pull from journals listed on the EPSCI publications page, however papers from any source may be considered . Suggestions for papers to review are welcome!

Fortnight Papers
Journal Title Discussion date Discussion Notes
arXiv.org AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources 2024-03-13 Discussion of: AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources
arXiv.org DOE/NSF Workshop on Correctness in Scientific Computing 2024-01-17 Discussion of: DOE/NSF Workshop on Correctness in Scientific Computing
CPC Deep learning level-3 electron trigger for CLAS12 2023-10-04 Discussion of: Deep learning level-3 electron trigger for CLAS12
HPDC'23 Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing Applications 2023-08-09 Discussion of: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing Applications
arXiv.org Conservative Prediction via Data-Driven Confidence Minimization 2023-07-05 Discussion of: Conservative Prediction via Data-Driven Confidence Minimization
arXiv.org Myths and Legends in High-Performance Computing 2023-02-15 Discussion of: Myths and Legends in High-Performance Computing
IEEEXplore Energy-Aware Non-Preemptive Task Scheduling With Deadline Constraint in DVFS-Enabled Heterogeneous Clusters 2023-01-18 Discussion of: Energy-Aware Non-Preemptive Task Scheduling With Deadline Constraint in DVFS-Enabled Heterogeneous Clusters
Computing & Software For Big Science Future Trends in Nuclear Physics Computing 2022-07-06 Discussion of: Future Trends in Nuclear Physics Computing
arXiv.org The Convergence of Markov chain Monte Carlo Methods: From the Metropolis method to Hamiltonian Monte Carlo 2022-06-22 Discussion of: The Convergence of Markov chain Monte Carlo Methods: From the Metropolis method to Hamiltonian Monte Carlo
Distill Multimodal Neurons in Artificial Neural Networks 2022-05-11 Discussion of: Multimodal Neurons in Artificial Neural Networks
Nature Magnetic control of tokamak plasmas through deep reinforcement learning 2022-03-30 Discussion of: Magnetic control of tokamak plasmas through deep reinforcement learning
arXiv.org A 20 Gbps PAM4 Data Transmitter ASIC for Particle Physics Experiments 2022-03-02 Discussion of: A 20 Gbps PAM4 Data Transmitter ASIC for Particle Physics Experiments
EAoAI A tutorial on solving ordinary differential equations using Python and hybrid physics-informed neural network 2022-02-02 Discussion of: A tutorial on solving ordinary differential equations using Python and hybrid physics-informed neural network
NIM Classical and machine learning methods for event reconstruction in NeuLAND 2022-01-19 Discussion of: Learning Classical and machine learning methods for event reconstruction in NeuLAND
arXiv.org Learning Deep Features for Discriminative Localization 2021-11-01 Discussion of: Learning Deep Features for Discriminative Localization
IEEE Moving Compute towards Data in Heterogeneous multi-FPGA Clusters using Partial Reconfiguration and I/O Virtualisation 2021-09-27 Discussion of: Moving Compute towards Data in Heterogeneous multi-FPGA Clusters using Partial Reconfiguration and I/O Virtualisation
CPC Real-time data processing in the ALICE High Level Trigger at the LHC 2021-08-30 Discussion of: RT data processing for ALICE HLT
arXiv.org Mask R-CNN 2021-07-19 Discussion of: Mask R-CNN
(multi) 2021-06-21 Discussion of: Julia
NIM Throttling strategies and optimization of the trigger-less streaming DAQ system in the CBM experiment 2021-06-07 discussion
IEEE Xplore Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications 2021-05-24 discussion
CPC HEP-Frame: Improving the efficiency of pipelined data transformation & filtering for scientific analyses 2021-04-30 discussion
CPC Jas4pp — A data-analysis framework for physics and detector studies 2021-03-15 discussion
vCHEP Hydra
TriDAS+JANA2
HOSS! 		2021-03-01 discussion
CPC Development of FPGA based phase alignment logic for the high speed protocol in HEP Experiments 2020-11-23 discussion
CPC FeynGame 2020-10-12 discussion
N/A Python Global Interpreter Lock
RealPython GIL 		2020-09-28 discussion
SoftwareX Mcfly: Automated deep learning on time series 2020-09-07 discussion
SoftwareX GeoRocket: A scalable and cloud-based data store for big geospatial files 2020-08-24 discussion
CPC The Control Unit of the KM3NeT Data Acquisition System 2020-07-20 discussion
SoftwareX Qudi: A modular python suite for experiment control and data processing 2020-06-29 discussion
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