Valeriu Codreanu

According to our database, Valeriu Codreanu authored at least 25 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving the speed and quality of cancer segmentation using lower resolution pathology images.

Jieyi Li, Anwar Osseyran, Ruben Hekster, Stevan Rudinac, Valeriu Codreanu, Damian Podareanu

Multim. Tools Appl., January, 2024

2023

Less is not more: We need rich datasets to explore.

Laurens Versluis, Mehmet Çetin, Caspar Greeven, Kristian Laursen, Damian Podareanu, Valeriu Codreanu, Alexandru Uta, Alexandru Iosup

Future Gener. Comput. Syst., May, 2023

2021

SURF Machine Metric Dataset [2019-12-29, 2020-08-07].

Kristian Laursen, Alexandru Uta, Alexandru Iosup, Paul Melis, Damian Podareanu, Valeriu Codreanu

Dataset, January, 2021

A Holistic Analysis of Datacenter Operations: Resource Usage, Energy, and Workload Characterization - Extended Technical Report.

Laurens Versluis, Mehmet Çetin, Caspar Greeven, Kristian Laursen, Damian Podareanu, Valeriu Codreanu, Alexandru Uta, Alexandru Iosup

CoRR, 2021

Scaling Out Transformer Models for Retrosynthesis on Supercomputers.

Joris Mollinga, Valeriu Codreanu

Proceedings of the Intelligent Computing, 2021

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

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

Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

2020

Beneath the SURFace: An MRI-like View into the Life of a 21st Century Datacenter.

Kristian Laursen, Alexandru Uta, Alexandru Iosup, Paul Melis, Damian Podareanu, Valeriu Codreanu

Dataset, June, 2020

Beneath the SURFace: An MRI-like View into the Life of a 21st-Century Datacenter.

Alexandru Uta, Kristian Laursen, Alexandru Iosup, Paul Melis, Damian Podareanu, Valeriu Codreanu

login Usenix Mag., 2020

Deep-learning enhancement of large scale numerical simulations.

Caspar van Leeuwen, Damian Podareanu, Valeriu Codreanu, Maxwell X. Cai, Axel Berg, Simon Portegies Zwart, Robin Stoffer, Menno Veerman, Chiel van Heerwaarden, Sydney Otten, Sascha Caron, Cunliang Geng, Francesco Ambrosetti, Alexandre M. J. J. Bonvin

CoRR, 2020

DDLBench: Towards a Scalable Benchmarking Infrastructure for Distributed Deep Learning.

Matthijs Jansen, Valeriu Codreanu, Ana Lucia Varbanescu

Proceedings of the Fourth IEEE/ACM Workshop on Deep Learning on Supercomputers, 2020

DeepGalaxy: Deducing the Properties of Galaxy Mergers from Images Using Deep Neural Networks.

Maxwell X. Cai, Jeroen Bédorf, Vikram A. Saletore, Valeriu Codreanu, Damian Podareanu, Adel Chaibi, Penny X. Qian

Proceedings of the Fourth IEEE/ACM Workshop on Deep Learning on Supercomputers, 2020

2019

Densifying Assumed-Sparse Tensors - Improving Memory Efficiency and MPI Collective Performance During Tensor Accumulation for Parallelized Training of Neural Machine Translation Models.

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

Proceedings of the High Performance Computing - 34th International Conference, 2019

2018

Improving Utility of GPU in Accelerating Industrial Applications With User-Centered Automatic Code Translation.

Po Yang, Feng Dong, Valeriu Codreanu, David Williams, Jos B. T. M. Roerdink, Baoquan Liu, Amjad Anvari-Moghaddam, Geyong Min

IEEE Trans. Ind. Informatics, 2018

Distributed Training of Generative Adversarial Networks for Fast Detector Simulation.

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

Proceedings of the High Performance Computing, 2018

Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead.

Matthia Sabatelli, Francesco Bidoia, Valeriu Codreanu, Marco A. Wiering

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

2017

Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train.

Valeriu Codreanu, Damian Podareanu, Vikram A. Saletore

CoRR, 2017

2016

CUBu: Universal Real-Time Bundling for Large Graphs.

Matthew van der Zwan, Valeriu Codreanu, Alexandru C. Telea

IEEE Trans. Vis. Comput. Graph., 2016

GSWO: A programming model for GPU-enabled parallelization of sliding window operations in image processing.

Po Yang, Gordon Clapworthy, Feng Dong, Valeriu Codreanu, David Williams, Baoquan Liu, Jos B. T. M. Roerdink, Zhikun Deng

Signal Process. Image Commun., 2016

Evaluating automatically parallelized versions of the support vector machine.

Valeriu Codreanu, Bob Dröge, David Williams, Burhan Yasar, Po Yang, Baoquan Liu, Feng Dong, Olarik Surinta, Lambert R. B. Schomaker, Jos B. T. M. Roerdink, Marco A. Wiering

Concurr. Comput. Pract. Exp., 2016

Comparative study between deep learning and bag of visual words for wild-animal recognition.

Emmanuel Okafor, Pornntiwa Pawara, Faik Karaaba, Olarik Surinta, Valeriu Codreanu, Lambert Schomaker, Marco A. Wiering

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Efficient implementation of a video change detection algorithm.

Alexandru E. Susu, Valeriu Codreanu, Georgios Evangelidis, Lucian Petrica

Proceedings of the International Conference on Communications, 2016

2015

CLTune: A Generic Auto-Tuner for OpenCL Kernels.

Cedric Nugteren, Valeriu Codreanu

Proceedings of the IEEE 9th International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2015

2014

Parallel centerline extraction on the GPU.

Baoquan Liu, Alexandru C. Telea, Jos B. T. M. Roerdink, Gordon Clapworthy, David Williams, Po Yang, Feng Dong, Valeriu Codreanu, Alessandro Chiarini

Comput. Graph., 2014

2013

Evaluation of Autoparallelization Toolkits for Commodity GPUs.

David Williams, Valeriu Codreanu, Po Yang, Baoquan Liu, Feng Dong, Burhan Yasar, Babak Mahdian, Alessandro Chiarini, Xia Zhao, Jos B. T. M. Roerdink

Proceedings of the Parallel Processing and Applied Mathematics, 2013

GPU-ASIFT: A fast fully affine-invariant feature extraction algorithm.

Valeriu Codreanu, Feng Dong, Baoquan Liu, Jos B. T. M. Roerdink, David Williams, Po Yang, Burhan Yasar

Proceedings of the International Conference on High Performance Computing & Simulation, 2013