Valeriu Codreanu

26 papers C 3Journal 14Unranked 9

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