Akash Dutta

Orcid: 0009-0007-0947-1182

According to our database1, Akash Dutta authored at least 17 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A Lightweight Wavelet Group Equivariant Convolution Neural Network for Medical Image Classification.
Int. J. Comput. Intell. Syst., December, 2026

2025
SuperSAM: Crafting a SAM Supernetwork via Structured Pruning and Unstructured Parameter Prioritization.
CoRR, January, 2025

HHOTuner: Efficient Performance Tuning with Harris Hawks Optimization.
Proceedings of the 54th International Conference on Parallel Processing, 2025

EEG-Based Hybrid Emotion Recognition Model with Statistical-Wavelet Features and Modality-Agnostic Loss.
Proceedings of the Engineering Applications of Neural Networks, 2025

2024
Learning-based auto-tuning for high performance computing.
PhD thesis, 2024

The Landscape and Challenges of HPC Research and LLMs.
CoRR, 2024

Static Generation of Efficient OpenMP Offload Data Mappings.
Proceedings of the International Conference for High Performance Computing, 2024

ParaGraph: Weighted Graph Representation for Performance Optimization of HPC Kernels.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Efficient Code Region Characterization Through Automatic Performance Counters Reduction Using Machine Learning Techniques.
Proceedings of the Euro-Par 2024: Parallel Processing, 2024

MIREncoder: Multi-modal IR-based Pretrained Embeddings for Performance Optimizations.
Proceedings of the 2024 International Conference on Parallel Architectures and Compilation Techniques, 2024

2023
Predicting number of threads using balanced datasets for openMP regions.
Computing, May, 2023

Power Constrained Autotuning using Graph Neural Networks.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Performance Optimization using Multimodal Modeling and Heterogeneous GNN.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

2022
Pattern-based Autotuning of OpenMP Loops using Graph Neural Networks.
Proceedings of the IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, 2022

Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2020
Learning-based OpenMP Performance Tuning Using Balanced Datasets.
Dataset, May, 2020

Blockchain-based E-waste Management in 5G Smart Communities.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020


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