Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case

Autor: Dirk Krücker, Sofia Vallecorsa, Valeriu Codreanu, Hans Pabst, Vikram A. Saletore, Kerstin Borras, Adel Chaibi, Florian Rehm

Publikováno v: Setúbal, Portugal : SCITEPRESS-Science and Technology Publications 251-258 (2021). doi:10.5220/0010245002510258
ICPRAM 2021 : proceedings of the 10th International Conference on Pattern Recognition Applications and Methods : online streaming, February 4-6, 2021 / sponsored by: INSTICC-Institute for Systems and Technologies of Information, Control and Communication ; edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred
ICPRAM 2021 : proceedings of the 10th International Conference on Pattern Recognition Applications and Methods : online streaming, February 4-6, 2021 / sponsored by: INSTICC-Institute for Systems and Technologies of Information, Control and Communication ; edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred10. International Conference on Pattern Recognition Applications and Methods, ICPRAM 2021, online, 2021-02-04-2021-02-06

Deep learning is finding its way into high energy physics by replacing traditional Monte Carlo simulations. However, deep learning still requires an excessive amount of computational resources. A promising approach to make deep learning more efficien

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73b72ff64f1cd8529716d324f3520cf8
https://bib-pubdb1.desy.de/record/457165

Densifying Assumed-Sparse Tensors

Autor: Valeriu Codreanu, Don D. Smith, Pei Yang, Srinivas Varadharajan, Vikram A. Saletore, Can Karakus, Derya Cavdar, John A. Lockman, Lucas A. Wilson, Rengan Xu, Alexander Sergeev, Damian Podareanu, Quy Ta, Victor Suthichai

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030206550
ISC

Neural machine translation - using neural networks to translate human language - is an area of active research exploring new neuron types and network topologies with the goal of dramatically improving machine translation performance. Current state-of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::51fb54170ef55b38d1f2243777ad22cc
https://doi.org/10.1007/978-3-030-20656-7_2

Large Minibatch Training on Supercomputers with Improved Accuracy and Reduced Time to Train

Autor: Damian Podareanu, Valeriu Codreanu, Vikram A. Saletore

Publikováno v: 2018 IEEE/ACM Machine Learning in HPC Environments (MLHPC).

For the past 6 years, the ILSVRC competition and the ImageNet dataset have attracted a lot of interest from the Computer Vision community, allowing for state-of-the-art accuracy to grow tremendously. This should be credited to the use of deep artific

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::523331bb52572bc1a8437a8959793416
https://doi.org/10.1109/mlhpc.2018.8638634

Distributed Training of Generative Adversarial Networks for Fast Detector Simulation

Autor: Federico Carminati, Hans Pabst, Damian Podareanu, Valeriu Codreanu, Gulrukh Khattak, Vikram A. Saletore, Sofia Vallecorsa

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030024642
ISC Workshops

The simulation of the interaction of particles in High Energy Physics detectors is a computing intensive task. Since some level of approximation is acceptable, it is possible to implement fast simulation simplified models that have the advantage of b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a04d538434020a0e55b079569299cd06
https://doi.org/10.1007/978-3-030-02465-9_35

HcBench: Methodology, development, and characterization of a customer usage representative big data/Hadoop benchmark

Autor: Matthew E. Tolentino, Vish Viswanathan, Karthik Krishnan, Vikram A. Saletore

Publikováno v: IISWC

Big Data analytics using Map-Reduce over Hadoop has become a leading edge paradigm for distributed programming over large server clusters. The Hadoop platform is used extensively for interactive and batch analytics in ecommerce, telecom, media, retai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::659601eb242a20c2a0d8a4895cd65d3e
https://doi.org/10.1109/iiswc.2013.6704672