GPU-ASIFT: A fast fully affine-invariant feature extraction algorithm. - Valeriu Codreanu; Feng Dong 005; Baoquan Liu; Jos B. T. M. Roerdink; David Williams 002; Po Yang 001; Burhan Yasar (HPCS, 2013)

Evaluation of Autoparallelization Toolkits for Commodity GPUs. - David Williams 002; Valeriu Codreanu; Po Yang 001; Baoquan Liu; Feng Dong 005; Burhan Yasar; Babak Mahdian; Alessandro Chiarini; Xia Zhao 001; Jos B. T. M. Roerdink (PPAM (1), 2013)

Parallel centerline extraction on the GPU. - Baoquan Liu; Alexandru C. Telea; Jos B. T. M. Roerdink; Gordon Clapworthy; David Williams 002; Po Yang 001; Feng Dong 005; Valeriu Codreanu; Alessandro Chiarini (Comput. Graph., 2014)

CLTune: A Generic Auto-Tuner for OpenCL Kernels. - Cedric Nugteren; Valeriu Codreanu (MCSoC, 2015)

Efficient implementation of a video change detection algorithm. - Alexandru E. Susu; Valeriu Codreanu; Georgios Evangelidis 002; Lucian Petrica (COMM, 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 (SSCI, 2016)

Evaluating automatically parallelized versions of the support vector machine. - Valeriu Codreanu; Bob Dröge; David Williams 002; Burhan Yasar; Po Yang 001; Baoquan Liu; Feng Dong 005; Olarik Surinta; Lambert R. B. Schomaker; Jos B. T. M. Roerdink; Marco A. Wiering (Concurr. Comput. Pract. Exp., 2016)

GSWO: A programming model for GPU-enabled parallelization of sliding window operations in image processing. - Po Yang 001; Gordon Clapworthy; Feng Dong 005; Valeriu Codreanu; David Williams 002; Baoquan Liu; Jos B. T. M. Roerdink; Zhikun Deng (Signal Process. Image Commun., 2016)

CUBu: Universal Real-Time Bundling for Large Graphs. - Matthew van der Zwan; Valeriu Codreanu; Alexandru C. Telea (IEEE Trans. Vis. Comput. Graph., 2016)

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)

Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead. - Matthia Sabatelli; Francesco Bidoia; Valeriu Codreanu; Marco A. Wiering (ICPRAM, 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 (ISC Workshops, 2018)

Improving Utility of GPU in Accelerating Industrial Applications With User-Centered Automatic Code Translation. - Po Yang 001; Feng Dong 005; Valeriu Codreanu; David Williams 002; Jos B. T. M. Roerdink; Baoquan Liu; Amjad Anvari-Moghaddam; Geyong Min (IEEE Trans. Ind. Informatics, 2018)

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; et al. (ISC, 2019)

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 (DLS@SC, 2020)

DDLBench: Towards a Scalable Benchmarking Infrastructure for Distributed Deep Learning. - Matthijs Jansen; Valeriu Codreanu; Ana Lucia Varbanescu (DLS@SC, 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; et al. (CoRR, 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)

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 (Zenodo, 2020)

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 (ICPRAM, 2021)

Scaling Out Transformer Models for Retrosynthesis on Supercomputers. - Joris Mollinga; Valeriu Codreanu (SAI (1), 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)

SURF Machine Metric Dataset [2019-12-29, 2020-08-07]. - Kristian Laursen; Alexandru Uta; Alexandru Iosup; Paul Melis; Damian Podareanu; Valeriu Codreanu (Zenodo, 2021)

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., 2023)

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., 2024)