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Ali Jannesari

Ali Jannesari Ladani

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affiliation: Iowa State University, Ames, USA
affiliation (former): University of California Berkeley, CA, USA
affiliation (former): Technische Universität Darmstadt, Germany
affiliation (former): RWTH Aachen University, Germany
affiliation (former): Karlsruher Institut für Technologie, Germany

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Books and Theses

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2010
[b1]
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Ali Jannesari Ladani:
Dynamic race detection in parallel programs. Karlsruhe Institute of Technology, 2010

Journal Articles

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2024
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Mohammad Norouzi Arab, Nicolas Morew, Qamar Ilias, Lukas Rothenberger, Ali Jannesari, Felix Wolf:
Fast data-dependence profiling through prior static analysis. Parallel Comput. 119: 103063 (2024)
2023
[j16]
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Jordi Alcaraz, Ali TehraniJamsaz, Akash Dutta, Anna Sikora, Ali Jannesari, Joan Sorribes, Eduardo César:
Predicting number of threads using balanced datasets for openMP regions. Computing 105(5): 999-1017 (2023)
[j15]
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Maryam Taghizadeh, Abdolah Chalechale, Ali Jannesari:
A region proposal algorithm using texture similarity and perceptual grouping. J. Ambient Intell. Humaniz. Comput. 14(1): 271-288 (2023)
[j14]
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Taghreed Bagies, Wei Le, Jeremy Sheaffer, Ali Jannesari:
Reducing branch divergence to speed up parallel execution of unit testing on GPUs. J. Supercomput. 79(16): 18340-18374 (2023)
2021
[j13]
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Mehdi Fasihi, Mohammad H. Nadimi-Shahraki, Ali Jannesari:
A Shallow 1-D Convolution Neural Network for Fetal State Assessment Based on Cardiotocogram. SN Comput. Sci. 2(4): 287 (2021)
[j12]
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Ehsan Atoofian, Zayan Shaikh, Ali Jannesari:
Reducing Energy in GPGPUs through Approximate Trivial Bypassing. ACM Trans. Embed. Comput. Syst. 20(2): 13:1-13:27 (2021)
2019
[j11]
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Rohit Atre, Zia Ul Huda, Felix Wolf, Ali Jannesari:
Dissecting sequential programs for parallelization - An approach based on computational units. Concurr. Comput. Pract. Exp. 31(5) (2019)
[j10]
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Rahim Mammadli, Felix Wolf, Ali Jannesari:
The Art of Getting Deep Neural Networks in Shape. ACM Trans. Archit. Code Optim. 15(4): 62:1-62:21 (2019)
2018
[j9]
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Yang Xiao, Thireshan Jeyakumaran, Ehsan Atoofian, Ali Jannesari:
Improving performance of transactional memory through machine learning. Concurr. Comput. Pract. Exp. 30(10) (2018)
2017
[j8]
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Ali Jannesari, Felix Wolf, Walter F. Tichy:
Editorial of special issue on Software Engineering for Parallel Systems. J. Syst. Softw. 125: 380 (2017)
2016
[j7]
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Ali Jannesari, Felix Wolf:
Automatic Generation of Unit Tests for Correlated Variables in Parallel Programs. Int. J. Parallel Program. 44(3): 644-662 (2016)
[j6]
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Zhen Li, Rohit Atre, Zia Ul Huda, Ali Jannesari, Felix Wolf:
Unveiling parallelization opportunities in sequential programs. J. Syst. Softw. 117: 282-295 (2016)
2015
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Ali Jannesari:
Detection of High-Level Synchronization Anomalies in Parallel Programs. Int. J. Parallel Program. 43(4): 656-678 (2015)
[j4]
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Mohammad Norouzi Arab, Ali Jannesari:
Resource and application-aware resource discovery in computing environments. J. Supercomput. 71(3): 824-839 (2015)
2014
[j3]
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Zia Ul Huda, Ali Jannesari, Felix Wolf:
Using Template Matching to Infer Parallel Design Patterns. ACM Trans. Archit. Code Optim. 11(4): 64:1-64:21 (2014)
[j2]
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Ali Jannesari, Walter F. Tichy:
Library-Independent Data Race Detection. IEEE Trans. Parallel Distributed Syst. 25(10): 2606-2616 (2014)
2009
[j1]
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Victor Pankratius, Ali Jannesari, Walter F. Tichy:
Parallelizing Bzip2: A Case Study in Multicore Software Engineering. IEEE Softw. 26(6): 70-77 (2009)

Conference and Workshop Papers

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2024
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Waqwoya Abebe, Pablo Munoz, Ali Jannesari:
Improving Federated Learning Through Low-Entropy Client Sampling Based on Learned High-Level Features. CLOUD 2024: 20-29
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Akash Dutta, Ali Jannesari:
MIREncoder: Multi-modal IR-based Pretrained Embeddings for Performance Optimizations. PACT 2024: 156-167
[c76]
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Sixing Yu, Juan Pablo Muñoz, Ali Jannesari:
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. LREC/COLING 2024: 7174-7184
[c75]
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Hung Phan, Ali Jannesari:
Leveraging Statistical Machine Translation for Code Search. EASE 2024: 191-200
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Suren Harutyunyan, Eduardo César, Anna Sikora, Jiri Filipovic, Akash Dutta, Ali Jannesari, Jordi Alcaraz:
Efficient Code Region Characterization Through Automatic Performance Counters Reduction Using Machine Learning Techniques. Euro-Par (1) 2024: 18-32
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Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Ali Jannesari:
OMPGPT: A Generative Pre-trained Transformer Model for OpenMP. Euro-Par (1) 2024: 121-134
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Sixing Yu, J. Pablo Muñoz, Ali Jannesari:
Resource-Aware Heterogeneous Federated Learning with Specialized Local Models. Euro-Par (1) 2024: 389-403
[c71]
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Chandan Kumar, Ali Jannesari, Matthew J. Darr:
Discerning Self-supervised Learning and Weakly Supervised Learning. Tiny Papers @ ICLR 2024
[c70]
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Ali TehraniJamsaz, Alok Mishra, Akash Dutta, Abid M. Malik, Barbara M. Chapman, Ali Jannesari:
ParaGraph: Weighted Graph Representation for Performance Optimization of HPC Kernels. IPDPS (Workshops) 2024: 293-300
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Ali TehraniJamsaz, Hanze Chen, Ali Jannesari:
GraphBinMatch: Graph-Based Similarity Learning for Cross-Language Binary and Source Code Matching. IPDPS (Workshops) 2024: 506-515
[c68]
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Jad El Karchi, Hanze Chen, Ali TehraniJamsaz, Ali Jannesari, Mihail Popov, Emmanuelle Saillard:
MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR. IPDPS 2024: 595-607
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Arushi Sharma, Zefu Hu, Christopher Quinn, Ali Jannesari:
Redundancy and Concept Analysis for Code-trained Language Models. ASE Workshops 2024: 24-34
2023
[c66]
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Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari:
Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient. CCGrid 2023: 322-330
[c65]
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Waqwoya Abebe, Ali Jannesari:
Optimizing Decentralized Learning with Local Heterogeneity using Topology Morphing and Clustering. CCGrid 2023: 355-366
[c64]
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Hung Phan, Ali Jannesari:
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark. CIKM 2023: 2055-2064
[c63]
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Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Eduardo César, Anna Sikora, Ali Jannesari:
Performance Optimization using Multimodal Modeling and Heterogeneous GNN. HPDC 2023: 45-57
[c62]
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Chandan Kumar, Matthew J. Darr, Ali Jannesari:
Discerning Self-Supervised Learning and Weakly Supervised Learning. Tiny Papers @ ICLR 2023
[c61]
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Hung Phan, Ali Jannesari:
Integrating Information from Natural Language Parse Tree to Code Generation. Tiny Papers @ ICLR 2023
[c60]
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Akash Dutta, Jee Choi, Ali Jannesari:
Power Constrained Autotuning using Graph Neural Networks. IPDPS 2023: 535-545
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Arijit Bhattacharjee, Christopher S. Daley, Ali Jannesari:
OpenMP Offload Features and Strategies for High Performance across Architectures and Compilers. IPDPS Workshops 2023: 564-573
[c58]
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Aishwarya Sarkar, Jien Zhang, Chaoqun Lu, Ali Jannesari:
Domain-Aware Scalable Distributed Training for Geo-Spatiotemporal Data. IPDPS Workshops 2023: 960-969
[c57]
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Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari:
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. MLSys 2023
[c56]
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Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari:
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis. NeurIPS 2023
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Duy Phuong Nguyen, Sixing Yu, J. Pablo Muñoz, Ali Jannesari:
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion. SC Workshops 2023: 36-43
[c54]
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Justin Stanley, Ali Jannesari:
Addressing Stale Gradients in Scalable Federated Deep Reinforcement Learning. SC Workshops 2023: 932-940
[c53]
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Chandan Kumar, Ali Jannesari:
Optimal Deep Learning Model for UAVs: A Case Study. WPMC 2023: 51-57
2022
[c52]
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Hung Phan, Ali Jannesari:
Heterogeneous Graph Neural Networks for Software Effort Estimation. ESEM 2022: 103-113
[c51]
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  - conf/eurosys/ThomasW022
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Deepak-George Thomas, Tichakorn Wongpiromsarn, Ali Jannesari:
Temporal shift reinforcement learning. EuroMLSys@EuroSys 2022: 95-100
[c50]
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Sixing Yu, Arya Mazaheri, Ali Jannesari:
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. ICML 2022: 25656-25667
[c49]
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Alvin Chon, Pawel Górecki, Oliver Eulenstein, Xiaoqiu Huang, Ali Jannesari:
Scalable and Extensible Robinson-Foulds for Comparative Phylogenetics. IPDPS Workshops 2022: 166-175
[c48]
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Le Chen, Quazi Ishtiaque Mahmud, Ali Jannesari:
Multi-View Learning for Parallelism Discovery of Sequential Programs. IPDPS Workshops 2022: 295-303
[c47]
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Chandan Kumar, Yamini Mathur, Ali Jannesari:
Efficient Volume Estimation for Dynamic Environments using Deep Learning on the Edge. IPDPS Workshops 2022: 995-1002
[c46]
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Ali TehraniJamsaz, Mihail Popov, Akash Dutta, Emmanuelle Saillard, Ali Jannesari:
Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization. IPDPS 2022: 1206-1216
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Hung Phan, Ali Jannesari:
Story Point Level Classification by Text Level Graph Neural Network. NLBSE 2022: 75-78
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Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Anna Sikora, Eduardo César, Ali Jannesari:
Pattern-based Autotuning of OpenMP Loops using Graph Neural Networks. AI4S 2022: 26-31
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Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Wei Qian, Ali Anwar, Ali Jannesari:
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning. SC 2022: 36:1-36:14
2021
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Sixing Yu, Arya Mazaheri, Ali Jannesari:
Auto Graph Encoder-Decoder for Neural Network Pruning. ICCV 2021: 6342-6352
[c41]
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Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari:
DeepRace: A learning-based data race detector. ICST Workshops 2021: 226-233
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Taghreed Bagies, Ali Jannesari:
An Empirical Study of Parallelizing Test Execution Using CUDA Unified Memory and OpenMP GPU Offloading. ICST Workshops 2021: 271-278
[c39]
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Jeremy Roghair, Amir Ehsan Niaraki Asli, Kyungtae Ko, Ali Jannesari:
A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance. IntelliSys (1) 2021: 115-128
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Hung Phan, Arushi Sharma, Ali Jannesari:
Generating Context-Aware API Calls from Natural Language Description Using Neural Embeddings and Machine Translation. ASE Workshops 2021: 219-226
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Vivek Bengre, M. Reza HoseinyFarahabady, Mohammad Pivezhandi, Albert Y. Zomaya, Ali Jannesari:
A Learning-Based Scheduler for High Volume Processing in Data Warehouse Using Graph Neural Networks. PDCAT 2021: 175-186
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Jordi Alcaraz, Steven Sleder, Ali Tehrani Jamsaz, Anna Sikora, Ali Jannesari, Joan Sorribes, Eduardo César:
Building representative and balanced datasets of OpenMP parallel regions. PDP 2021: 67-74
2020
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M. Reza Hoseinyfarahabady, Ali Jannesari, Javid Taheri, Wei Bao, Albert Y. Zomaya, Zahir Tari:
Q-Flink: A QoS-Aware Controller for Apache Flink. CCGRID 2020: 629-638
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Nicolas Morew, Mohammad Norouzi Arab, Ali Jannesari, Felix Wolf:
Skipping Non-essential Instructions Makes Data-Dependence Profiling Faster. Euro-Par 2020: 3-17
[c33]
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Arya Mazaheri, Tim Beringer, Matthew W. Moskewicz, Felix Wolf, Ali Jannesari:
Accelerating winograd convolutions using symbolic computation and meta-programming. EuroSys 2020: 40:1-40:14
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Mehdi Fasihi, Mohammad H. Nadimi-Shahraki, Ali Jannesari:
Multi-Class Cardiovascular Diseases Diagnosis from Electrocardiogram Signals using 1-D Convolution Neural Network. IRI 2020: 372-378
2019
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Mohammad Norouzi Arab, Qamar Ilias, Ali Jannesari, Felix Wolf:
Accelerating Data-Dependence Profiling with Static Hints. Euro-Par 2019: 17-28
[c30]
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Arya Mazaheri, Johannes Schulte, Matthew W. Moskewicz, Felix Wolf, Ali Jannesari:
Enhancing the Programmability and Performance Portability of GPU Tensor Operations. Euro-Par 2019: 213-226
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Mohammad Norouzi Arab, Felix Wolf, Ali Jannesari:
Automatic construct selection and variable classification in OpenMP. ICS 2019: 330-341
[c28]
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M. Reza HoseinyFarahabady, Ali Jannesari, Zahir Tari, Javid Taheri, Albert Y. Zomaya:
Dynamic Control of CPU Cap Allocations in Stream Processing and Data-Flow Platforms. NCA 2019: 1-8
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M. Reza Hoseinyfarahabady, Ali Jannesari, Wei Bao, Zahir Tari, Albert Y. Zomaya:
Real-Time Stream Data Processing at Scale. PDCAT 2019: 46-51
2018
[c26]
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Arya Mazaheri, Felix Wolf, Ali Jannesari:
Unveiling Thread Communication Bottlenecks Using Hardware-Independent Metrics. ICPP 2018: 6:1-6:10
2017
[c25]
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Matthew W. Moskewicz, Ali Jannesari, Kurt Keutzer:
Boda: A Holistic Approach for Implementing Neural Network Computations. Conf. Computing Frontiers 2017: 53-62
[c24]
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Ali Jannesari, Zia Ul Huda, Rohit Atre, Zhen Li, Felix Wolf:
Parallelizing Audio Analysis Applications - A Case Study. ICSE-SEET 2017: 57-66
[c23]
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Rohit Atre, Ali Jannesari, Felix Wolf:
Brief Announcement: Meeting the Challenges of Parallelizing Sequential Programs. SPAA 2017: 363-365
2016
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Zia Ul Huda, Rohit Atre, Ali Jannesari, Felix Wolf:
Automatic Parallel Pattern Detection in the Algorithm Structure Design Space. IPDPS 2016: 43-52
[c21]
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Thireshan Jeyakumaran, Ehsan Atoofian, Yang Xiao, Zhen Li, Ali Jannesari:
Improving Performance of Transactional Applications through Adaptive Transactional Memory. PDP 2016: 192-199
2015
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Bo Zhao, Zhen Li, Ali Jannesari, Felix Wolf, Weiguo Wu:
Dependence-Based Code Transformation for Coarse-Grained Parallelism. COSMIC@CGO 2015: 1:1-1:10
[c19]
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Rohit Atre, Ali Jannesari, Felix Wolf:
The Basic Building Blocks of Parallel Tasks. COSMIC@CGO 2015: 3:1-3:11
[c18]
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Yang Xiao, Zhen Li, Ehsan Atoofian, Ali Jannesari:
Automatic Optimization of Software Transactional Memory Through Linear Regression and Decision Tree. ICA3PP (4) 2015: 61-73
[c17]
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Zhen Li, Bo Zhao, Ali Jannesari, Felix Wolf:
Beyond Data Parallelism: Identifying Parallel Tasks in Sequential Programs. ICA3PP (4) 2015: 569-582
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Zhen Li, Michael Beaumont, Ali Jannesari, Felix Wolf:
Fast Data-Dependence Profiling by Skipping Repeatedly Executed Memory Operations. ICA3PP (4) 2015: 583-596
[c15]
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Arya Mazaheri, Ali Jannesari, Abdolreza Mirzaei, Felix Wolf:
Characterizing Loop-Level Communication Patterns in Shared Memory. ICPP 2015: 759-768
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Jochen Schimmel, Korbinian Molitorisz, Ali Jannesari, Walter F. Tichy:
Combining Unit Tests for Data Race Detection. AST@ICSE 2015: 43-47
[c13]
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Zhen Li, Ali Jannesari, Felix Wolf:
An Efficient Data-Dependence Profiler for Sequential and Parallel Programs. IPDPS 2015: 484-493
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Ali Jannesari, Siegfried Benkner, Xinghui Zhao, Ehsan Atoofian, Yukinori Sato:
Workshop Preview of the 2nd International Workshop on Software for Parallel Systems (SEPS 2015). SPLASH (Companion Volume) 2015: 95-96
2014
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Ali Jannesari, Felix Wolf, Walter F. Tichy:
SEPS 2014: first international workshop on software engineering for parallel systems. SPLASH (Companion Volume) 2014: 85-86
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Ali Jannesari, Nico Koprowski, Jochen Schimmel, Felix Wolf:
Generating Classified Parallel Unit Tests. TAP@STAF 2014: 117-133
2013
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Daniel Fried, Zhen Li, Ali Jannesari, Felix Wolf:
Predicting Parallelization of Sequential Programs Using Supervised Learning. ICMLA (2) 2013: 72-77
[c8]
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Ali Jannesari, Nico Koprowski, Jochen Schimmel, Felix Wolf, Walter F. Tichy:
Detecting Correlation Violations and Data Races by Inferring Non-deterministic Reads. ICPADS 2013: 1-9
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Zhen Li, Ali Jannesari, Felix Wolf:
Discovery of Potential Parallelism in Sequential Programs. ICPP 2013: 1004-1013
[c6]
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Jochen Schimmel, Korbinian Molitorisz, Ali Jannesari, Walter F. Tichy:
Automatic generation of parallel unit tests. AST 2013: 40-46
2011
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Ali Jannesari, Markus Westphal-Furuya, Walter F. Tichy:
Dynamic Data Race Detection for Correlated Variables. ICA3PP (1) 2011: 14-26
2010
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Ali Jannesari, Walter F. Tichy:
Identifying ad-hoc synchronization for enhanced race detection. IPDPS 2010: 1-10
2009
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Ali Jannesari, Kaibin Bao, Victor Pankratius, Walter F. Tichy:
Helgrind+: An efficient dynamic race detector. IPDPS 2009: 1-13
2008
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Victor Pankratius, Christoph A. Schaefer, Ali Jannesari, Walter F. Tichy:
Software engineering for multicore systems: an experience report. IWMSE@ICSE 2008: 53-60
[c1]
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Ali Jannesari, Walter F. Tichy:
On-the-fly race detection in multi-threaded programs. PADTAD 2008: 6

Editorship

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2017
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Ali Jannesari, Pablo de Oliveira Castro, Yukinori Sato, Tim Mattson:
Proceedings of the 4th ACM SIGPLAN International Workshop on Software Engineering for Parallel Systems, SEPS@SPLASH 2017, Vancouver, BC, Canada, October 23, 2017. ACM 2017, ISBN 978-1-4503-5517-9 [contents]
2016
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Ali Jannesari, Yukinori Sato, Stefan Winter:
Proceedings of the 3rd International Workshop on Software Engineering for Parallel Systems, SEPS@SPLASH 2016, Amsterdam, Netherlands, November 1, 2016. ACM 2016, ISBN 978-1-4503-4641-2 [contents]
2015
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Ali Jannesari, Siegfried Benkner, Xinghui Zhao, Ehsan Atoofian, Yukinori Sato:
Proceedings of the 2nd International Workshop on Software Engineering for Parallel Systems, SEPS@SPLASH 2015, Pittsburgh, PA, USA, October 27, 2015. ACM 2015, ISBN 978-1-4503-3910-0 [contents]

Informal and Other Publications

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2024
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Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Ali Jannesari:
OMPGPT: A Generative Pre-trained Transformer Model for OpenMP. CoRR abs/2401.16445 (2024)
[i46]
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Le Chen, Nesreen K. Ahmed, Akash Dutta, Arijit Bhattacharjee, Sixing Yu, Quazi Ishtiaque Mahmud, Waqwoya Abebe, Hung Phan, Aishwarya Sarkar, Branden Butler, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Juan Pablo Muñoz, Theodore L. Willke, Tim Mattson, Ali Jannesari:
The Landscape and Challenges of HPC Research and LLMs. CoRR abs/2402.02018 (2024)
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Chandan Kumar, Jansel Herrera-Gerena, John Just, Matthew J. Darr, Ali Jannesari:
Unsupervised learning based object detection using Contrastive Learning. CoRR abs/2402.13465 (2024)
[i44]
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Jad El Karchi, Hanze Chen, Ali TehraniJamsaz, Ali Jannesari, Mihail Popov, Emmanuelle Saillard:
MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR. CoRR abs/2403.02518 (2024)
[i43]
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Chandan Kumar, Jansel Herrera-Gerena, John Just, Matthew J. Darr, Ali Jannesari:
Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning. CoRR abs/2403.07231 (2024)
[i42]
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Waqwoya Abebe, Jan Strube, Luanzheng Guo, Nathan R. Tallent, Oceane Bel, Steven R. Spurgeon, Christina Doty, Ali Jannesari:
SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation. CoRR abs/2404.06638 (2024)
[i41]
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Duy Phuong Nguyen, J. Pablo Munoz, Ali Jannesari:
FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning. CoRR abs/2404.15182 (2024)
[i40]
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Luke Marzen, Akash Dutta, Ali Jannesari:
Static Generation of Efficient OpenMP Offload Data Mappings. CoRR abs/2406.13881 (2024)
[i39]
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Akash Dutta, Ali Jannesari:
MIREncoder: Multi-modal IR-based Pretrained Embeddings for Performance Optimizations. CoRR abs/2407.02238 (2024)
[i38]
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  - journals/corr/abs-2407-07321
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Hung Phan, Anurag Acharya, Sarthak Chaturvedi, Shivam Sharma, Mike Parker, Dan Nally, Ali Jannesari, Karl Pazdernik, Mahantesh Halappanavar, Sai Munikoti, Sameera Horawalavithana:
RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehension. CoRR abs/2407.07321 (2024)
[i37]
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Branden Butler, Sixing Yu, Arya Mazaheri, Ali Jannesari:
PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation. CoRR abs/2407.11798 (2024)
2023
[i36]
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Aishwarya Sarkar, Chaoqun Lu, Ali Jannesari:
Accelerating Domain-aware Deep Learning Models with Distributed Training. CoRR abs/2301.11787 (2023)
[i35]
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Akash Dutta, Jee Choi, Ali Jannesari:
Power Constrained Autotuning using Graph Neural Networks. CoRR abs/2302.11467 (2023)
[i34]
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Ali TehraniJamsaz, Alok Mishra, Akash Dutta, Abid M. Malik, Barbara M. Chapman, Ali Jannesari:
ParaGraph: Weighted Graph Representation for Performance Optimization of HPC Kernels. CoRR abs/2304.03487 (2023)
[i33]
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Ali TehraniJamsaz, Hanze Chen, Ali Jannesari:
GraphBinMatch: Graph-based Similarity Learning for Cross-Language Binary and Source Code Matching. CoRR abs/2304.04658 (2023)
[i32]
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Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Eduardo César, Anna Sikora, Ali Jannesari:
Performance Optimization using Multimodal Modeling and Heterogeneous GNN. CoRR abs/2304.12568 (2023)
[i31]
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  - journals/corr/abs-2305-00875
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Arushi Sharma, Zefu Hu, Christopher Quinn, Ali Jannesari:
Interpreting Pretrained Source-code Models using Neuron Redundancy Analyses. CoRR abs/2305.00875 (2023)
[i30]
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Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari:
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. CoRR abs/2305.05779 (2023)
[i29]
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Sixing Yu, J. Pablo Muñoz, Ali Jannesari:
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. CoRR abs/2305.11414 (2023)
[i28]
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Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari:
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis. CoRR abs/2306.00210 (2023)
[i27]
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Hung Phan, Ali Jannesari:
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark. CoRR abs/2308.04693 (2023)
[i26]
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  - journals/corr/abs-2310-00247
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Sixing Yu, J. Pablo Muñoz, Ali Jannesari:
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning. CoRR abs/2310.00247 (2023)
[i25]
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Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Hung D. Phan, Nesreen K. Ahmed, Ali Jannesari:
AUTOPARLLM: GNN-Guided Automatic Code Parallelization using Large Language Models. CoRR abs/2310.04047 (2023)
[i24]
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  - journals/corr/abs-2311-06505
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Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Bin Lei, Ali Jannesari:
CompCodeVet: A Compiler-guided Validation and Enhancement Approach for Code Dataset. CoRR abs/2311.06505 (2023)
[i23]
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Waqwoya Abebe, Juan Pablo Muñoz, Ali Jannesari:
LEFL: Low Entropy Client Sampling in Federated Learning. CoRR abs/2312.17430 (2023)
2022
[i22]
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  - journals/corr/abs-2203-00611
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Ali TehraniJamsaz, Mihail Popov, Akash Dutta, Emmanuelle Saillard, Ali Jannesari:
Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization. CoRR abs/2203.00611 (2022)
[i21]
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  - journals/corr/abs-2203-03062
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Hung Phan, Ali Jannesari:
Story Point Effort Estimation by Text Level Graph Neural Network. CoRR abs/2203.03062 (2022)
[i20]
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  - journals/corr/abs-2206-11023
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Hung Phan, Ali Jannesari:
Heterogeneous Graph Neural Networks for Software Effort Estimation. CoRR abs/2206.11023 (2022)
[i19]
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Sixing Yu, Wei Qian, Ali Jannesari:
Resource-aware Federated Learning using Knowledge Extraction and Multi-model Fusion. CoRR abs/2208.07978 (2022)
[i18]
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Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Justin Stanley, J. Pablo Muñoz, Ali Jannesari:
Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search. CoRR abs/2211.05716 (2022)
[i17]
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Sixing Yu, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Ali Jannesari:
Towards Seamless Management of AI Models in High-Performance Computing. CoRR abs/2212.06352 (2022)
[i16]
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  - journals/corr/abs-2212-08743
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Waqwoya Abebe, Ali Jannesari:
Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing. CoRR abs/2212.08743 (2022)
2021
[i15]
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Sixing Yu, Arya Mazaheri, Ali Jannesari:
GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. CoRR abs/2102.03214 (2021)
[i14]
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Jeremy Roghair, Kyungtae Ko, Amir Ehsan Niaraki Asli, Ali Jannesari:
A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance. CoRR abs/2103.06403 (2021)
[i13]
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  - journals/corr/abs-2105-12254
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Deepak-George Thomas, Daniil Olshanskyi, Karter Krueger, Ali Jannesari:
Interpretable UAV Collision Avoidance using Deep Reinforcement Learning. CoRR abs/2105.12254 (2021)
[i12]
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  - journals/corr/abs-2106-06921
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Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari:
Adaptive Dynamic Pruning for Non-IID Federated Learning. CoRR abs/2106.06921 (2021)
[i11]
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  - journals/corr/abs-2110-00841
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Aishwarya Sarkar, Jien Zhang, Chaoqun Lu, Ali Jannesari:
Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data. CoRR abs/2110.00841 (2021)
[i10]
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  - journals/corr/abs-2111-14345
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Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Ali Anwar, Ali Jannesari:
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning. CoRR abs/2111.14345 (2021)
[i9]
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Jansel Herrera-Gerena, Ramakrishnan Sundareswaran, John Just, Matthew J. Darr, Ali Jannesari:
CLAWS: Contrastive Learning with hard Attention and Weak Supervision. CoRR abs/2112.00847 (2021)
2020
[i8]
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  - journals/corr/abs-2008-08951
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Rahim Mammadli, Ali Jannesari, Felix Wolf:
Static Neural Compiler Optimization via Deep Reinforcement Learning. CoRR abs/2008.08951 (2020)
[i7]
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  - journals/corr/abs-2010-04328
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Aishwarya Sarkar, Jien Zhang, Chaoqun Lu, Ali Jannesari:
HydroDeep - A Knowledge Guided Deep Neural Network for Geo-Spatiotemporal Data Analysis. CoRR abs/2010.04328 (2020)
[i6]
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Sixing Yu, Arya Mazaheri, Ali Jannesari:
Auto Graph Encoder-Decoder for Model Compression and Network Acceleration. CoRR abs/2011.12641 (2020)
2019
[i5]
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  - journals/corr/abs-1906-00786
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Subrahmanyam Vaddi, Chandan Kumar, Ali Jannesari:
Efficient Object Detection Model for Real-Time UAV Applications. CoRR abs/1906.00786 (2019)
[i4]
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  - journals/corr/abs-1907-06205
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Venkatesh Theru Mohan, Ali Jannesari:
Automatic Repair and Type Binding of Undeclared Variables using Neural Networks. CoRR abs/1907.06205 (2019)
[i3]
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Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari:
DeepRace: Finding Data Race Bugs via Deep Learning. CoRR abs/1907.07110 (2019)
[i2]
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  - journals/corr/abs-1909-12217
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Amir Ehsan Niaraki Asli, Ali Jannesari:
A Simulation of UAV Power Optimization via Reinforcement Learning. CoRR abs/1909.12217 (2019)
2016
[i1]
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  - journals/corr/MoskewiczJK16
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Matthew W. Moskewicz, Ali Jannesari, Kurt Keutzer:
A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications. CoRR abs/1611.06945 (2016)

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