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Valeriu Codreanu
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2020 – today
- 2024
- [j8]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): 11999-12015 (2024) - 2023
- [j7]Laurens Versluis
Less is not more: We need rich datasets to explore. Future Gener. Comput. Syst. 142: 117-130 (2023) - 2021
- [c12]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: 251-258 - [c11]Joris Mollinga, Valeriu Codreanu:
Scaling Out Transformer Models for Retrosynthesis on Supercomputers. SAI (1) 2021: 102-117 - [d2]Kristian Laursen
SURF Machine Metric Dataset [2019-12-29, 2020-08-07]. Zenodo, 2021 - [i6]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 abs/2103.10142 (2021) - [i5]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 abs/2107.11832 (2021) - 2020
- [j6]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) - [c10]Matthijs Jansen, Valeriu Codreanu, Ana Lucia Varbanescu:
DDLBench: Towards a Scalable Benchmarking Infrastructure for Distributed Deep Learning. DLS@SC 2020: 31-39 - [c9]Maxwell X. Cai
DeepGalaxy: Deducing the Properties of Galaxy Mergers from Images Using Deep Neural Networks. DLS@SC 2020: 56-62 - [d1]Kristian Laursen
Beneath the SURFace: An MRI-like View into the Life of a 21st Century Datacenter. Zenodo, 2020 - [i4]Caspar van Leeuwen
Deep-learning enhancement of large scale numerical simulations. CoRR abs/2004.03454 (2020)
2010 – 2019
- 2019
- [c8]Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu
Densifying Assumed-Sparse Tensors - Improving Memory Efficiency and MPI Collective Performance During Tensor Accumulation for Parallelized Training of Neural Machine Translation Models. ISC 2019: 23-39 - [i3]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 abs/1905.04035 (2019) - 2018
- [j5]Po Yang
Improving Utility of GPU in Accelerating Industrial Applications With User-Centered Automatic Code Translation. IEEE Trans. Ind. Informatics 14(4): 1347-1360 (2018) - [c7]Matthia Sabatelli, Francesco Bidoia, Valeriu Codreanu, Marco A. Wiering:
Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead. ICPRAM 2018: 276-283 - [c6]Sofia Vallecorsa, Federico Carminati, Gulrukh Khattak
Distributed Training of Generative Adversarial Networks for Fast Detector Simulation. ISC Workshops 2018: 487-503 - 2017
- [i2]Cedric Nugteren, Valeriu Codreanu:
CLTune: A Generic Auto-Tuner for OpenCL Kernels. CoRR abs/1703.06503 (2017) - [i1]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 abs/1711.04291 (2017) - 2016
- [j4]Valeriu Codreanu, Bob Dröge, David Williams, Burhan Yasar, Po Yang
Evaluating automatically parallelized versions of the support vector machine. Concurr. Comput. Pract. Exp. 28(7): 2274-2294 (2016) - [j3]Po Yang
GSWO: A programming model for GPU-enabled parallelization of sliding window operations in image processing. Signal Process. Image Commun. 47: 332-345 (2016) - [j2]Matthew van der Zwan, Valeriu Codreanu, Alexandru C. Telea:
CUBu: Universal Real-Time Bundling for Large Graphs. IEEE Trans. Vis. Comput. Graph. 22(12): 2550-2563 (2016) - [c5]Alexandru E. Susu, Valeriu Codreanu, Georgios Evangelidis, Lucian Petrica:
Efficient implementation of a video change detection algorithm. COMM 2016: 77-82 - [c4]Emmanuel Okafor
Comparative study between deep learning and bag of visual words for wild-animal recognition. SSCI 2016: 1-8 - 2015
- [c3]Cedric Nugteren, Valeriu Codreanu:
CLTune: A Generic Auto-Tuner for OpenCL Kernels. MCSoC 2015: 195-202 - 2014
- [j1]Baoquan Liu, Alexandru C. Telea, Jos B. T. M. Roerdink, Gordon Clapworthy, David Williams, Po Yang
Parallel centerline extraction on the GPU. Comput. Graph. 41: 72-83 (2014) - 2013
- [c2]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: 474-481 - [c1]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: 447-457
Coauthor Index
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