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[PDF] Application Porting & Optimization on GPU-accelerated Indicoindico-jsc.fz-juelich.de › session › contribution › material › slides
indico-jsc.fz-juelich.de
· SnapML team (Haris Pozidis, Thomas Parnell, Celestine Dünner, Dimitrios. Sarigiannis, Nikolas Ioannou, Andreea Anghel). ▫ Many more ...
Manolis SifalakisCatalyzeX
www.catalyzex.com
Celestine Dünner, Thomas Parnell, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis. Figure 1 for Understanding and Optimizing the Performance of ... Celestine Dünner, Thomas Parnell, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis. Figure 1 for Understanding and Optimizing the Performance of ...
Andreea AnghelPapers With Code
paperswithcode.com
Celestine Dünner, Thomas Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Gummadi Ravi, Madhusudanan Kandasamy, Haralampos Pozidis. We ... Celestine Dünner, Thomas Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Gummadi Ravi, Madhusudanan Kandasamy, Haralampos Pozidis. We ...
advanced-ml-machine-learning-techniques-for-optimizing- ...Scientific Research and Community
onlinescientificresearch.com
Celestine Dünner, Thomas Parnell, Kubilay Atasu, Manolis. Sifalakis, Haralampos Pozidis (2017) Understanding and optimizing the performance of distributed ... Celestine Dünner, Thomas Parnell, Kubilay Atasu, Manolis. Sifalakis, Haralampos Pozidis (2017) Understanding and optimizing the performance of distributed ...
[ v1] Snap Machine Learning
arxiv.org
Authors: Celestine Dünner, Thomas Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Haralampos Pozidis. (Submitted on 16 Mar 2018). Abstract: We describe an efficient, scalable machine learning library that enables very fast training of generalized linear models. We demonstrate that our library can ...
Parallel training of linear models without compromising convergence -...
www.zhuanzhi.ai
2018 年 12 月 19 日 Arxiv Nikolas Ioannou,Celestine Dünner,Kornilios Kourtis,Thomas Parnell cs.LG stat.ML Presented at the Workshop on Systems for ML and ...
Machine Learning In A Snap — Thomas Parnell Research ...cognitive-science.info
cognitive-science.info
Celestine Dünner. Dimitrios Sarigiannis. Andreea Anghel. Nikolas Ioannou. Haris Pozidis. Thomas Parnell. The Snap ML team: 14 https://www.zurich.ibm.com/snapml ... Celestine Dünner. Dimitrios Sarigiannis. Andreea Anghel. Nikolas Ioannou. Haris Pozidis. Thomas Parnell. The Snap ML team: 14 https://www.zurich.ibm.com/snapml ...
Randomized Block-Diagonal Preconditioning for Parallel ...ResearchGate
www.researchgate.net
Celestine Dünner; Thomas Parnell. Nikolaos Ioannou, Celestine Dünner, and Thomas Parnell. Syscd: A system-aware parallel coorindate descent algorithm. NeurIPS ... Celestine Dünner; Thomas Parnell. Nikolaos Ioannou, Celestine Dünner, and Thomas Parnell. Syscd: A system-aware parallel coorindate descent algorithm. NeurIPS ...
IBM Scientists Develop Algorithm to Accelerate Machine ...YouTube · IBM Research3200+ Aufrufe · vor 6 Jahren
www.youtube.com
... for Linear Learning on Heterogeneous Systems, Celestine Dünner, Thomas Parnell, Martin Jaggi, https://arxiv.org/abs
Accepted Papers - BNP@NeurIPS 2018Google Sites
sites.google.com
Alessandro De Palma, Celestine Dünner, Thomas Parnell, Andreea Anghel and Haralampos Pozidis. Optimal DR-Submodular Maximization and Applications to Provable ... Alessandro De Palma, Celestine Dünner, Thomas Parnell, Andreea Anghel and Haralampos Pozidis. Optimal DR-Submodular Maximization and Applications to Provable ...
Parallel training of machine learning modelsGoogle Patents
patents.google.com
Celestine Duenner: Thomas Parnell; Current Assignee. The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no ... Celestine Duenner: Thomas Parnell; Current Assignee. The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no ...
DuHL: New Strategy to Render 10X Faster Machine LearningEcoCloud
ecocloud.epfl.ch
In a paper presented at the NIPS Conference by IBM researchers Celestine Dünner and Thomas Parnell and their colleague Martin Jaggi from EPFL, the team ... In a paper presented at the NIPS Conference by IBM researchers Celestine Dünner and Thomas Parnell and their colleague Martin Jaggi from EPFL, the team ...
Efficient Use of Limited-Memory Accelerators for Linear ...discusspapers.com
discusspapers.com
Paper Author: Celestine Dünner,Thomas Parnell,Martin Jaggi. Leave an answer. Write a post. Hot post. Unmasking the Enigma of Social Media Popularity: Exploring ... Paper Author: Celestine Dünner,Thomas Parnell,Martin Jaggi. Leave an answer. Write a post. Hot post. Unmasking the Enigma of Social Media Popularity: Exploring ...
Exploring the Power of Visual Features for ...OUCI
ouci.dntb.gov.ua
Michail Vlachos , Celestine Duenner , Reinhard Heckel , Vassilios G Vassiliadis , Thomas Parnell , and Kubilay Atasu Addressing Interpretability and ... Michail Vlachos , Celestine Duenner , Reinhard Heckel , Vassilios G Vassiliadis , Thomas Parnell , and Kubilay Atasu Addressing Interpretability and ...
Manual — Snap Machine Learning documentationGitHub Pages
ibmsoe.github.io
Journal of Machine Learning Research, [TPASCD]. Thomas Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis and Haris Pozidis. Tera-Scale ... Journal of Machine Learning Research, [TPASCD]. Thomas Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis and Haris Pozidis. Tera-Scale ...
NIPS Accepted Papers Stats - Robbie Allen - MediumMedium · Robbie Allen470+ „Gefällt mir“-Angaben · vor 6 Jahren
robbieallen.medium.com
Celestine Dünner (IBM Research) · Thomas Parnell (IBM Research) · Martin Jaggi (EPFL)Temporal Coherency based Criteria for Predicting Video ... Celestine Dünner (IBM Research) · Thomas Parnell (IBM Research) · Martin Jaggi (EPFL)Temporal Coherency based Criteria for Predicting Video ...
Schedule – BigMine 2018GitHub Pages
bigmine.github.io
Vassilios Vassiliadis, Michalis Vlachos, Thomas Parnell, Celestine Duenner, Kathrin Kathrin Wardatzky and Kubilay Atasu. 16:55-17:00, Final Remarks. © Vassilios Vassiliadis, Michalis Vlachos, Thomas Parnell, Celestine Duenner, Kathrin Kathrin Wardatzky and Kubilay Atasu. 16:55-17:00, Final Remarks. ©
IBM claims its machine learning library is 46x faster than ...The Register
www.theregister.com
— Thomas Parnell and Celestine Dünner at IBM Research in Zurich used the same source data – Criteo Terabyte Click Logs, with 4.2 billion — Thomas Parnell and Celestine Dünner at IBM Research in Zurich used the same source data – Criteo Terabyte Click Logs, with 4.2 billion ...
Large-Scale Stochastic Learning using GPUs – arXiv Vanitywww.arxiv-vanity.com › papers
www.arxiv-vanity.com
Thomas Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis and Haris Pozidis IBM Research - Zurich , Rüschlikon, Switzerland
ICC'15: ICC'15: IEEE International Conference on Communications...
edas.info
Thomas Parnell and Celestine Dünner (IBM Research - Zurich, Switzerland); Thomas Mittelholzer (IBM Zurich Research Laboratory, Switzerland); Nikolaos ...
Manual — Snap Machine Learning documentation
ibmsoe.github.io
[TPASCD]:, Thomas Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis and Haris Pozidis. Tera-Scale Coordinate Descent on GPUs. Journal on Future ...
ICPP | Program | 46th International Conference on Parallel...
www.icpp-conf.org
Kubilay Atasu, Thomas Parnell, Celestine Dünner, Michail Vlachos and Haralampos Pozidis. Exploiting GPUs for fast force-directed visualization of large-scale ...
NIPS Accepted Papers Stats. The Thirty-first Annual Conference on… |...
medium.com
Celestine Dünner (IBM Research) · Thomas Parnell (IBM Research) · Martin Jaggi (EPFL) Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks Prateep Bhattacharjee ( Indian Institute of Technology Madras) · Sukhendu Das (IIT Madras).
Parallel training of linear models without compromising ...www.groundai.com › project › par...
www.groundai.com
Nikolas Ioannou, Celestine Dünner, Kornilios Kourtis, and Thomas Parnell IBM Research Zurich, Switzerland &#.
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