GSoC 2018 at CERN-HSF: student project presentations

Tuesday 4 Sept 2018, 16:00 → 18:26 Europe/Zurich

16:00 → 16:03 CPU Race for Particle Hunting¶

Speaker: Taras Kolomatski

CPU Race for Particle Hunting-GSoC_Taras.pdf

16:03 → 16:06 CernVM-FS powered WebAssembly I/O¶

Speaker: Saurav Sachidanand

CernVM-FS powered WebAssembly IO.pdf

16:06 → 16:09 Configuration of Lightweight Sites Components using Ansible¶

Speaker: Tarang Mahapatra

GSoC_Tarang.pdf

16:09 → 16:12 Convolutional Deep Neural Networks on GPUs for Particle Physics Applications¶

Speaker: Emmanouil Stergiadis

Convolutional Deep Neural Networks on GPUs.pdf

Convolutional Deep Neural Networks on GPUs.pptx

16:12 → 16:15 Development of the Deep Learning Optimization Algorithms in TMVA.¶

Speaker: Ravi Kiran Selvam

Deep Learning Optimization Algorithms in TMVA - Ravi Kiran Selvam.pdf

16:15 → 16:18 Generative Adversarial Networks for Particle Physics Applications¶

Speaker: Anushree Rankawat

Generative Adversarial Networks.pdf

Generative Adversarial Networks.pptx

16:18 → 16:21 Recurrent Neural Networks and LSTMs on GPUs for Particle Physics Applications¶

Speaker: Harshit Prasad

CERN Lightning Talk - Harshit Prasad (1).pdf

16:21 → 16:24 Variational Autoencoders on GPUs for particle physics applications¶

Speaker: SiddharthaRao Kamalakara

Variational Autoencoders on GPUs-GSoC.pdf

Variational Autoencoders on GPUs-GSoC.pptx

16:24 → 16:27 Spark3D: Extend Apache Spark to support 3D Spatial Datasets¶

Speaker: Mayur Bhosale

Mayur Spark3D.pptx

Spark3D.pdf

16:27 → 16:30 GDML I/O for VecGeom Geometry Package¶

Speaker: Dima Savin

GDML-IO-Savin-CERN-HSF.pdf

16:30 → 16:33 DIANA-HEP: Analysis Functions:: Implementation and optimization of common particle physics analysis algorithms in a functional paradigm¶

Speaker: Jaydeep Nandi

Vectorization of common HEP algorithms_CERN.pdf

16:38 → 16:53 Break

16:54 → 16:57 Distributed Big Data Analysis with TDataFrame¶

Speaker: Shravan Murali

ROOT RDataFrame analysis using PyRDF.pdf

ROOT RDataFrame analysis using PyRDF.pptx

16:57 → 17:00 Extend clad - The Automatic Differentiation¶

Speaker: Aleksandr Efremov

gsoc_clad.pdf

17:00 → 17:03 ROOT package manager¶

Speaker: Ashwin Samudre

ROOT PM lightning talk.pdf

ROOT PM lightning talk.pptx

17:03 → 17:06 Large-scale computing backend for Jupyter notebooks - HTCondor batch job submission and monitoring using the Ganga toolkit¶

Speaker: Aman Pratap Singh

Large-scale computing backend for Jupyter notebooks.pdf

Large-scale computing backend for Jupyter notebooks.pptx

17:06 → 17:09 Rucio : Billion-row scalable and flexible metadata¶

Speaker: Asket Agarwal

Rucio Scalable and generic metadata.pdf

Rucio Scalable and generic metadata.pptx

17:09 → 17:12 Monitoring and traceability of jobs using ElasticSearch - DIRAC¶

Speaker: Yash Srivastava

ElasticSearch - DIRAC - GSoC.pdf

17:12 → 17:15 Open-Source Simulations for Gas Detector on Python¶

Speaker: Mayank Modi

Simulations for Gas Detector - GSoC.pdf

Simulations for Gas Detector - GSoC.pptx

17:15 → 17:18 Optimize and Integrate Standalone Tracking Library (SixTrackLib)¶

Speaker: Somesh Singh

Standalone Tracking Library-SomeshSingh-GSoC2018.pdf

17:18 → 17:21 Petabyte-Scale Cloud Storage File Manager¶

Speaker: Oshan Mudannayake

Phoenix project - CERN presentation.pdf

Phoenix project - CERN presentation.pptx

17:21 → 17:24 HAhRD: DeepReconstruction¶

Speaker: Abhinav Kumar

HAhRD DeepReconstruction (Google Drive)

HAhRD-DeepReconstruction.pdf

HAhRD-DeepReconstruction.pptx