EPIC: An Energy-Efficient, High-Performance GPGPU Computing Research Infrastructure
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Abstract (arXiv)
The pursuit of many research questions requires massive computational resources. State-of-the-art research in physical processes using simulations, the training of neural networks for deep learning, or the analysis of big data are all dependent on the availability of sufficient and performant computational resources. For such research, access to a high-performance computing infrastructure is indispensable. Many scientific workloads from such research domains are inherently parallel and can benefit from the data-parallel architecture of general purpose graphics processing units (GPGPUs). However, GPGPU resources are scarce at Norway's national infrastructure. EPIC is a GPGPU enabled computing research infrastructure at NTNU. It enables NTNU's researchers to perform experiments that otherwise would be impossible, as time-to-solution would simply take too long.
Key facts. Cited by 23 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Dec 2019.
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Citing papers per year: 2021: 5; 2022: 6; 2023: 5; 2024: 3; 2025: 2; 2026: 2.
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- 2022DeepPrivacy2: Towards Realistic Full-Body Anonymizationcited by 51
- 2022Realistic Full-Body Anonymization with Surface-Guided GANscited by 15
- 2022Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networkscited by 13
- 2023Does Image Anonymization Impact Computer Vision Training?cited by 12
- 2023Learning Pairwise Interaction for Generalizable DeepFake Detectioncited by 11
- 2023NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegiancited by 9
- 2022Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attentioncited by 6
- 2024PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Modelscited by 5
- 2021Stochastic Cluster Embeddingcited by 3
- 2022Balancing Multi-Domain Corpora Learning for Open-Domain Response Generationcited by 3
- 2024Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Studycited by 3
- 2021Positional Encoding Augmented GAN for the Assessment of Wind Flow for Pedestrian Comfort in Urban Areascited by 2
11 more
- 2023Synthesizing Anyone, Anywhere, in Any Posecited by 2
- 2023MARF: The Medial Atom Ray Field Object Representationcited by 2
- 2024CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimizationcited by 2
- 2022Evaluating and Improving Context Attention Distribution on Multi-Turn Response Generation using Self-Contained Distractionscited by 1
- 2026Favia: Forensic Agent for Vulnerability-fix Identification and Analysiscited by 1
- 2021Geometric Change Detection in Digital Twins using 3D Machine Learningcited by 0
- 2021Partial 3D Object Retrieval using Local Binary QUICCI Descriptors and Dissimilarity Tree Indexingcited by 0
- 2021Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentationcited by 0
- 2025SIRA: Scaled-Integer Range Analysis for Optimizing FPGA Dataflow Neural Network Acceleratorscited by 0
- 2025Compressing CNN models for resource-constrained systems by channel and layer pruningcited by 0
- 2026NorwAI's Large Language Models: Technical Reportcited by 0
- 2026Favia: Forensic Agent for Vulnerability-fix Identification and Analysis13 Feb 2026
- 2026NorwAI's Large Language Models: Technical Report6 Jan 2026
- 2025Compressing CNN models for resource-constrained systems by channel and layer pruning10 Sep 2025
- 2025SIRA: Scaled-Integer Range Analysis for Optimizing FPGA Dataflow Neural Network Accelerators29 Aug 2025
- 2024Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Study4 Nov 2024
- 2024PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models4 Oct 2024
- 2024CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization24 Jun 2024
- 2023NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian3 Dec 2023
- 2023MARF: The Medial Atom Ray Field Object Representation30 Jun 2023
- 2023Does Image Anonymization Impact Computer Vision Training?8 Jun 2023
- 2023Synthesizing Anyone, Anywhere, in Any Pose6 Apr 2023
- 2023Learning Pairwise Interaction for Generalizable DeepFake Detection26 Feb 2023
11 more
- 2022DeepPrivacy2: Towards Realistic Full-Body Anonymization17 Nov 2022
- 2022Evaluating and Improving Context Attention Distribution on Multi-Turn Response Generation using Self-Contained Distractions9 Nov 2022
- 2022Balancing Multi-Domain Corpora Learning for Open-Domain Response Generation5 May 2022
- 2022Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention22 Apr 2022
- 2022Realistic Full-Body Anonymization with Surface-Guided GANs6 Jan 2022
- 2022Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks6 Jan 2022
- 2021Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation21 Dec 2021
- 2021Positional Encoding Augmented GAN for the Assessment of Wind Flow for Pedestrian Comfort in Urban Areas15 Dec 2021
- 2021Stochastic Cluster Embedding18 Aug 2021
- 2021Partial 3D Object Retrieval using Local Binary QUICCI Descriptors and Dissimilarity Tree Indexing7 Jul 2021
- 2021Geometric Change Detection in Digital Twins using 3D Machine Learning15 Mar 2021
- 2022DeepPrivacy2: Towards Realistic Full-Body Anonymizationcited by 51
- 2022Realistic Full-Body Anonymization with Surface-Guided GANscited by 15
- 2022Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networkscited by 13
- 2023Does Image Anonymization Impact Computer Vision Training?cited by 12
- 2023Learning Pairwise Interaction for Generalizable DeepFake Detectioncited by 11
- 2023NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegiancited by 9
- 2022Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attentioncited by 6
- 2024PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Modelscited by 5
- 2021Stochastic Cluster Embeddingcited by 3
- 2022Balancing Multi-Domain Corpora Learning for Open-Domain Response Generationcited by 3
- 2024Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Studycited by 3
- 2021Positional Encoding Augmented GAN for the Assessment of Wind Flow for Pedestrian Comfort in Urban Areascited by 2
12 most cited of 21 All 21 (JSON)
- 2026NorwAI's Large Language Models: Technical Report6 Jan 2026
- 2025Compressing CNN models for resource-constrained systems by channel and layer pruning10 Sep 2025
- 2025SIRA: Scaled-Integer Range Analysis for Optimizing FPGA Dataflow Neural Network Accelerators29 Aug 2025
- 2024Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Study4 Nov 2024
- 2024PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models4 Oct 2024
- 2024CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization24 Jun 2024
- 2023NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian3 Dec 2023
- 2023MARF: The Medial Atom Ray Field Object Representation30 Jun 2023
- 2023Does Image Anonymization Impact Computer Vision Training?8 Jun 2023
- 2023Synthesizing Anyone, Anywhere, in Any Pose6 Apr 2023
- 2023Learning Pairwise Interaction for Generalizable DeepFake Detection26 Feb 2023
- 2022DeepPrivacy2: Towards Realistic Full-Body Anonymization17 Nov 2022
12 newest of 21 All 21 (JSON)