Ali Jannesari
Orcid: 0000-0001-8672-5317Affiliations:
- Iowa State University, Ames, USA
- University of California Berkeley, CA, USA (former)
- Technische Universität Darmstadt, Germany (former)
- RWTH Aachen University, Germany (former)
- Karlsruher Institut für Technologie, Germany (former)
According to our database1,
Ali Jannesari
authored at least 130 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming.
CoRR, 2024
RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehension.
CoRR, 2024
CoRR, 2024
SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation.
CoRR, 2024
CoRR, 2024
Proceedings of the International Conference for High Performance Computing, 2024
Proceedings of the International Conference for High Performance Computing, 2024
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2024
GraphBinMatch: Graph-Based Similarity Learning for Cross-Language Binary and Source Code Matching.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
ParaGraph: Weighted Graph Representation for Performance Optimization of HPC Kernels.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024
Proceedings of the Euro-Par 2024: Parallel Processing, 2024
Efficient Code Region Characterization Through Automatic Performance Counters Reduction Using Machine Learning Techniques.
Proceedings of the Euro-Par 2024: Parallel Processing, 2024
Proceedings of the Euro-Par 2024: Parallel Processing, 2024
Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs.
Proceedings of the IEEE International Conference on Cluster Computing, 2024
MIREncoder: Multi-modal IR-based Pretrained Embeddings for Performance Optimizations.
Proceedings of the 2024 International Conference on Parallel Architectures and Compilation Techniques, 2024
Improving Federated Learning Through Low-Entropy Client Sampling Based on Learned High-Level Features.
Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024
2023
J. Supercomput., November, 2023
Computing, May, 2023
J. Ambient Intell. Humaniz. Comput., 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the 26th International Symposium on Wireless Personal Multimedia Communications, 2023
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Sixth Conference on Machine Learning and Systems, 2023
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
OpenMP Offload Features and Strategies for High Performance across Architectures and Compilers.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023
Optimizing Decentralized Learning with Local Heterogeneity using Topology Morphing and Clustering.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023
2022
Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing.
CoRR, 2022
CoRR, 2022
CoRR, 2022
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Proceedings of the IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, 2022
Proceedings of the 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE 2022), 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
Efficient Volume Estimation for Dynamic Environments using Deep Learning on the Edge.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the EuroMLSys '22: Proceedings of the 2nd European Workshop on Machine Learning and Systems, Rennes, France, April 5, 2022
Proceedings of the ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19, 2022
2021
ACM Trans. Embed. Comput. Syst., 2021
A Shallow 1-D Convolution Neural Network for Fetal State Assessment Based on Cardiotocogram.
SN Comput. Sci., 2021
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning.
CoRR, 2021
Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data.
CoRR, 2021
GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning.
CoRR, 2021
Proceedings of the 29th Euromicro International Conference on Parallel, 2021
A Learning-Based Scheduler for High Volume Processing in Data Warehouse Using Graph Neural Networks.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021
Generating Context-Aware API Calls from Natural Language Description Using Neural Embeddings and Machine Translation.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021
Proceedings of the Intelligent Systems and Applications, 2021
Proceedings of the 14th IEEE International Conference on Software Testing, 2021
An Empirical Study of Parallelizing Test Execution Using CUDA Unified Memory and OpenMP GPU Offloading.
Proceedings of the 14th IEEE International Conference on Software Testing, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
CoRR, 2020
HydroDeep - A Knowledge Guided Deep Neural Network for Geo-Spatiotemporal Data Analysis.
CoRR, 2020
Multi-Class Cardiovascular Diseases Diagnosis from Electrocardiogram Signals using 1-D Convolution Neural Network.
Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020
Proceedings of the EuroSys '20: Fifteenth EuroSys Conference 2020, 2020
Proceedings of the Euro-Par 2020: Parallel Processing, 2020
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020
2019
ACM Trans. Archit. Code Optim., 2019
CoRR, 2019
Dissecting sequential programs for parallelization - An approach based on computational units.
Concurr. Comput. Pract. Exp., 2019
Proceedings of the 20th International Conference on Parallel and Distributed Computing, 2019
Proceedings of the 18th IEEE International Symposium on Network Computing and Applications, 2019
Proceedings of the ACM International Conference on Supercomputing, 2019
Proceedings of the Euro-Par 2019: Parallel Processing, 2019
Proceedings of the Euro-Par 2019: Parallel Processing, 2019
2018
Concurr. Comput. Pract. Exp., 2018
Proceedings of the 47th International Conference on Parallel Processing, 2018
2017
J. Syst. Softw., 2017
Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures, 2017
Proceedings of the 39th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training Track, 2017
Proceedings of the Computing Frontiers Conference, 2017
2016
J. Syst. Softw., 2016
Int. J. Parallel Program., 2016
CoRR, 2016
Improving Performance of Transactional Applications through Adaptive Transactional Memory.
Proceedings of the 24th Euromicro International Conference on Parallel, 2016
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016
2015
J. Supercomput., 2015
Int. J. Parallel Program., 2015
Workshop Preview of the 2nd International Workshop on Software for Parallel Systems (SEPS 2015).
Proceedings of the Companion Proceedings of the 2015 ACM SIGPLAN International Conference on Systems, 2015
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015
Proceedings of the 10th IEEE/ACM International Workshop on Automation of Software Test, 2015
Proceedings of the 44th International Conference on Parallel Processing, 2015
Automatic Optimization of Software Transactional Memory Through Linear Regression and Decision Tree.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015
Proceedings of the 2015 International Workshop on Code Optimisation for Multi and Many Cores, 2015
Proceedings of the 2015 International Workshop on Code Optimisation for Multi and Many Cores, 2015
2014
IEEE Trans. Parallel Distributed Syst., 2014
ACM Trans. Archit. Code Optim., 2014
Proceedings of the Tests and Proofs - 8th International Conference, 2014
SEPS 2014: first international workshop on software engineering for parallel systems.
Proceedings of the SPLASH'14, 2014
2013
Proceedings of the 8th International Workshop on Automation of Software Test, 2013
Proceedings of the 42nd International Conference on Parallel Processing, 2013
Detecting Correlation Violations and Data Races by Inferring Non-deterministic Reads.
Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems, 2013
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
2011
Proceedings of the Algorithms and Architectures for Parallel Processing, 2011
2010
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010
2009
IEEE Softw., 2009
Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009
2008
Proceedings of the 6th Workshop on Parallel and Distributed Systems: Testing, 2008
Proceedings of the 1st International Workshop on Multicore Software Engineering, 2008