Valeriu Codreanu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 22

Top Topics

Lower Resolution

Numerical Simulations

High Energy Physics

Top Venues

Publications

Jieyi Li, Anwar Osseyran, Ruben Hekster, Stevan Rudinac, Valeriu Codreanu, Damian Podareanu
Improving the speed and quality of cancer segmentation using lower resolution pathology images. Multim. Tools Appl. 83 (4) (2024)
Laurens Versluis, Mehmet Çetin, Caspar Greeven, Kristian Laursen, Damian Podareanu, Valeriu Codreanu, Alexandru Uta, Alexandru Iosup
Less is not more: We need rich datasets to explore. Future Gener. Comput. Syst. 142 (2023)
Joris Mollinga, Valeriu Codreanu
Scaling Out Transformer Models for Retrosynthesis on Supercomputers. SAI (1) (2021)
Florian Rehm, Sofia Vallecorsa, Vikram A. Saletore, Hans Pabst, Adel Chaibi, Valeriu Codreanu, Kerstin Borras, Dirk Krücker
Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case. CoRR (2021)
Florian Rehm, Sofia Vallecorsa, Vikram A. Saletore, Hans Pabst, Adel Chaibi, Valeriu Codreanu, Kerstin Borras, Dirk Krücker
Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case. ICPRAM (2021)
Laurens Versluis, Mehmet Çetin, Caspar Greeven, Kristian Laursen, Damian Podareanu, Valeriu Codreanu, Alexandru Uta, Alexandru Iosup
A Holistic Analysis of Datacenter Operations: Resource Usage, Energy, and Workload Characterization - Extended Technical Report. CoRR (2021)
Maxwell X. Cai, Jeroen Bédorf, Vikram A. Saletore, Valeriu Codreanu, Damian Podareanu, Adel Chaibi, Penny X. Qian
DeepGalaxy: Deducing the Properties of Galaxy Mergers from Images Using Deep Neural Networks. DLS@SC (2020)
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
Deep-learning enhancement of large scale numerical simulations. CoRR (2020)
Alexandru Uta, Kristian Laursen, Alexandru Iosup, Paul Melis, Damian Podareanu, Valeriu Codreanu
Beneath the SURFace: An MRI-like View into the Life of a 21st-Century Datacenter. login Usenix Mag. 45 (3) (2020)
Matthijs Jansen, Valeriu Codreanu, Ana Lucia Varbanescu
DDLBench: Towards a Scalable Benchmarking Infrastructure for Distributed Deep Learning. DLS@SC (2020)
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
Densifying Assumed-Sparse Tensors - Improving Memory Efficiency and MPI Collective Performance During Tensor Accumulation for Parallelized Training of Neural Machine Translation Models. ISC (2019)
Derya Çavdar, 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
Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models. CoRR (2019)
Po Yang, Feng Dong, Valeriu Codreanu, David Williams, Jos B. T. M. Roerdink, Baoquan Liu, Amjad Anvari-Moghaddam, Geyong Min
Improving Utility of GPU in Accelerating Industrial Applications With User-Centered Automatic Code Translation. IEEE Trans. Ind. Informatics 14 (4) (2018)
Matthia Sabatelli, Francesco Bidoia, Valeriu Codreanu, Marco A. Wiering
Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead. ICPRAM (2018)
Sofia Vallecorsa, Federico Carminati, Gulrukh Khattak, Damian Podareanu, Valeriu Codreanu, Vikram A. Saletore, Hans Pabst
Distributed Training of Generative Adversarial Networks for Fast Detector Simulation. ISC Workshops (2018)
Valeriu Codreanu, Damian Podareanu, Vikram A. Saletore
Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train. CoRR (2017)
Cedric Nugteren, Valeriu Codreanu
CLTune: A Generic Auto-Tuner for OpenCL Kernels. CoRR (2017)
Emmanuel Okafor, Pornntiwa Pawara, Faik Karaaba, Olarik Surinta, Valeriu Codreanu, Lambert Schomaker, Marco A. Wiering
Comparative study between deep learning and bag of visual words for wild-animal recognition. SSCI (2016)
Alexandru E. Susu, Valeriu Codreanu, Georgios Evangelidis, Lucian Petrica
Efficient implementation of a video change detection algorithm. COMM (2016)
Matthew van der Zwan, Valeriu Codreanu, Alexandru C. Telea
CUBu: Universal Real-Time Bundling for Large Graphs. IEEE Trans. Vis. Comput. Graph. 22 (12) (2016)
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
Evaluating automatically parallelized versions of the support vector machine. Concurr. Comput. Pract. Exp. 28 (7) (2016)
Po Yang, Gordon Clapworthy, Feng Dong, Valeriu Codreanu, David Williams, Baoquan Liu, Jos B. T. M. Roerdink, Zhikun Deng
GSWO: A programming model for GPU-enabled parallelization of sliding window operations in image processing. Signal Process. Image Commun. 47 (2016)
Cedric Nugteren, Valeriu Codreanu
CLTune: A Generic Auto-Tuner for OpenCL Kernels. MCSoC (2015)
Baoquan Liu, Alexandru C. Telea, Jos B. T. M. Roerdink, Gordon Clapworthy, David Williams, Po Yang, Feng Dong, Valeriu Codreanu, Alessandro Chiarini
Parallel centerline extraction on the GPU. Comput. Graph. 41 (2014)
Valeriu Codreanu, Feng Dong, Baoquan Liu, Jos B. T. M. Roerdink, David Williams, Po Yang, Burhan Yasar
GPU-ASIFT: A fast fully affine-invariant feature extraction algorithm. HPCS (2013)
David Williams, Valeriu Codreanu, Po Yang, Baoquan Liu, Feng Dong, Burhan Yasar, Babak Mahdian, Alessandro Chiarini, Xia Zhao, Jos B. T. M. Roerdink
Evaluation of Autoparallelization Toolkits for Commodity GPUs. PPAM (1) (2013)