Ali Jannesari

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 73

Top Topics

Graph Embedding

Reinforcement Learning

Cardiovascular Disease

Top Venues

IPDPS Workshops

Publications

Maryam Taghizadeh, Abdolah Chalechale, Ali Jannesari
A region proposal algorithm using texture similarity and perceptual grouping. J. Ambient Intell. Humaniz. Comput. 14 (1) (2023)
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 (2023)
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 (2023)
Sixing Yu, J. Pablo Muñoz, Ali Jannesari
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. CoRR (2023)
Aishwarya Sarkar, Chaoqun Lu, Ali Jannesari
Accelerating Domain-aware Deep Learning Models with Distributed Training. CoRR (2023)
Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. CoRR (2023)
Arushi Sharma, Zefu Hu, Christopher Quinn, Ali Jannesari
Interpreting Pretrained Source-code Models using Neuron Redundancy Analyses. CoRR (2023)
Akash Dutta, Jee Choi, Ali Jannesari
Power Constrained Autotuning using Graph Neural Networks. CoRR (2023)
Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Eduardo César, Anna Sikora, Ali Jannesari
Performance Optimization using Multimodal Modeling and Heterogeneous GNN. CoRR (2023)
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) (2023)
Ali TehraniJamsaz, Hanze Chen, Ali Jannesari
GraphBinMatch: Graph-based Similarity Learning for Cross-Language Binary and Source Code Matching. CoRR (2023)
Hung Phan, Ali Jannesari
Story Point Level Classification by Text Level Graph Neural Network. NLBSE (2022)
Deepak-George Thomas, Tichakorn Wongpiromsarn, Ali Jannesari
Temporal shift reinforcement learning. EuroMLSys@EuroSys (2022)
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)
Le Chen, Quazi Ishtiaque Mahmud, Ali Jannesari
Multi-View Learning for Parallelism Discovery of Sequential Programs. IPDPS Workshops (2022)
Ali TehraniJamsaz, Mihail Popov, Akash Dutta, Emmanuelle Saillard, Ali Jannesari
Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization. IPDPS (2022)
Hung Phan, Ali Jannesari
Heterogeneous Graph Neural Networks for Software Effort Estimation. ESEM (2022)
Hung Phan, Ali Jannesari
Heterogeneous Graph Neural Networks for Software Effort Estimation. CoRR (2022)
Alvin Chon, Pawel Górecki, Oliver Eulenstein, Xiaoqiu Huang, Ali Jannesari
Scalable and Extensible Robinson-Foulds for Comparative Phylogenetics. IPDPS Workshops (2022)
Sixing Yu, Arya Mazaheri, Ali Jannesari
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. ICML (2022)
Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Justin Stanley, Pablo Munoz, Ali Jannesari
Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search. CoRR (2022)
Sixing Yu, Wei Qian, Ali Jannesari
Resource-aware Federated Learning using Knowledge Extraction and Multi-model Fusion. CoRR (2022)
Waqwoya Abebe, Ali Jannesari
Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing. CoRR (2022)
Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Anna Sikora, Eduardo César, Ali Jannesari
Pattern-based Autotuning of OpenMP Loops using Graph Neural Networks. AI4S (2022)
Chandan Kumar, Yamini Mathur, Ali Jannesari
Efficient Volume Estimation for Dynamic Environments using Deep Learning on the Edge. IPDPS Workshops (2022)
Ali TehraniJamsaz, Mihail Popov, Akash Dutta, Emmanuelle Saillard, Ali Jannesari
Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization. CoRR (2022)
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 (2022)
Hung Phan, Ali Jannesari
Story Point Effort Estimation by Text Level Graph Neural Network. CoRR (2022)
Hung Phan, Arushi Sharma, Ali Jannesari
Generating Context-Aware API Calls from Natural Language Description Using Neural Embeddings and Machine Translation. ASE Workshops (2021)
Jeremy Roghair, Amir Ehsan Niaraki Asli, Kyungtae Ko, Ali Jannesari
A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance. IntelliSys (1) (2021)
Sixing Yu, Arya Mazaheri, Ali Jannesari
GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. CoRR (2021)
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)
Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari
Adaptive Dynamic Pruning for Non-IID Federated Learning. CoRR (2021)
Aishwarya Sarkar, Jien Zhang, Chaoqun Lu, Ali Jannesari
Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data. CoRR (2021)
Sixing Yu, Arya Mazaheri, Ali Jannesari
Auto Graph Encoder-Decoder for Neural Network Pruning. ICCV (2021)
Jansel Herrera-Gerena, Ramakrishnan Sundareswaran, John Just, Matthew J. Darr, Ali Jannesari
CLAWS: Contrastive Learning with hard Attention and Weak Supervision. CoRR (2021)
Taghreed Bagies, Ali Jannesari
An Empirical Study of Parallelizing Test Execution Using CUDA Unified Memory and OpenMP GPU Offloading. ICST Workshops (2021)
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) (2021)
Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari
DeepRace: A learning-based data race detector. ICST Workshops (2021)
Jeremy Roghair, Kyungtae Ko, Amir Ehsan Niaraki Asli, Ali Jannesari
A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance. CoRR (2021)
Ehsan Atoofian, Zayan Shaikh, Ali Jannesari
Reducing Energy in GPGPUs through Approximate Trivial Bypassing. ACM Trans. Embed. Comput. Syst. 20 (2) (2021)
Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Ali Anwar, Ali Jannesari
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning. CoRR (2021)
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)
Deepak-George Thomas, Daniil Olshanskyi, Karter Krueger, Ali Jannesari
Interpretable UAV Collision Avoidance using Deep Reinforcement Learning. CoRR (2021)
Mehdi Fasihi, Mohammad H. Nadimi-Shahraki, Ali Jannesari
Multi-Class Cardiovascular Diseases Diagnosis from Electrocardiogram Signals using 1-D Convolution Neural Network. IRI (2020)
Nicolas Morew, Mohammad Norouzi Arab, Ali Jannesari, Felix Wolf
Skipping Non-essential Instructions Makes Data-Dependence Profiling Faster. Euro-Par (2020)
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)
Aishwarya Sarkar, Jien Zhang, Chaoqun Lu, Ali Jannesari
HydroDeep - A Knowledge Guided Deep Neural Network for Geo-Spatiotemporal Data Analysis. CoRR (2020)
Rahim Mammadli, Ali Jannesari, Felix Wolf
Static Neural Compiler Optimization via Deep Reinforcement Learning. CoRR (2020)
Arya Mazaheri, Tim Beringer, Matthew W. Moskewicz, Felix Wolf, Ali Jannesari
Accelerating winograd convolutions using symbolic computation and meta-programming. EuroSys (2020)
Sixing Yu, Arya Mazaheri, Ali Jannesari
Auto Graph Encoder-Decoder for Model Compression and Network Acceleration. CoRR (2020)
Amir Ehsan Niaraki Asli, Ali Jannesari
A Simulation of UAV Power Optimization via Reinforcement Learning. CoRR (2019)
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)
Mohammad Norouzi Arab, Qamar Ilias, Ali Jannesari, Felix Wolf
Accelerating Data-Dependence Profiling with Static Hints. Euro-Par (2019)
Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari
DeepRace: Finding Data Race Bugs via Deep Learning. CoRR (2019)
M. Reza Hoseinyfarahabady, Ali Jannesari, Wei Bao, Zahir Tari, Albert Y. Zomaya
Real-Time Stream Data Processing at Scale. PDCAT (2019)
Mohammad Norouzi Arab, Felix Wolf, Ali Jannesari
Automatic construct selection and variable classification in OpenMP. ICS (2019)
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)
Arya Mazaheri, Johannes Schulte, Matthew W. Moskewicz, Felix Wolf, Ali Jannesari
Enhancing the Programmability and Performance Portability of GPU Tensor Operations. Euro-Par (2019)
Rahim Mammadli, Felix Wolf, Ali Jannesari
The Art of Getting Deep Neural Networks in Shape. ACM Trans. Archit. Code Optim. 15 (4) (2019)
Venkatesh Theru Mohan, Ali Jannesari
Automatic Repair and Type Binding of Undeclared Variables using Neural Networks. CoRR (2019)
Subrahmanyam Vaddi, Chandan Kumar, Ali Jannesari
Efficient Object Detection Model for Real-Time UAV Applications. CoRR (2019)
Yang Xiao, Thireshan Jeyakumaran, Ehsan Atoofian, Ali Jannesari
Improving performance of transactional memory through machine learning. Concurr. Comput. Pract. Exp. 30 (10) (2018)
Arya Mazaheri, Felix Wolf, Ali Jannesari
Unveiling Thread Communication Bottlenecks Using Hardware-Independent Metrics. ICPP (2018)
Matthew W. Moskewicz, Ali Jannesari, Kurt Keutzer
Boda: A Holistic Approach for Implementing Neural Network Computations. Conf. Computing Frontiers (2017)
Ali Jannesari, Zia Ul Huda, Rohit Atre, Zhen Li, Felix Wolf
Parallelizing Audio Analysis Applications - A Case Study. ICSE-SEET (2017)
Rohit Atre, Ali Jannesari, Felix Wolf
Brief Announcement: Meeting the Challenges of Parallelizing Sequential Programs. SPAA (2017)
Ali Jannesari, Felix Wolf, Walter F. Tichy
Editorial of special issue on Software Engineering for Parallel Systems. J. Syst. Softw. 125 (2017)
Ali Jannesari, Felix Wolf
Automatic Generation of Unit Tests for Correlated Variables in Parallel Programs. Int. J. Parallel Program. 44 (3) (2016)
Zia Ul Huda, Rohit Atre, Ali Jannesari, Felix Wolf
Automatic Parallel Pattern Detection in the Algorithm Structure Design Space. IPDPS (2016)
Matthew W. Moskewicz, Ali Jannesari, Kurt Keutzer
A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications. CoRR (2016)
Thireshan Jeyakumaran, Ehsan Atoofian, Yang Xiao, Zhen Li, Ali Jannesari
Improving Performance of Transactional Applications through Adaptive Transactional Memory. PDP (2016)
Zhen Li, Rohit Atre, Zia Ul Huda, Ali Jannesari, Felix Wolf
Unveiling parallelization opportunities in sequential programs. J. Syst. Softw. 117 (2016)
Ali Jannesari
Detection of High-Level Synchronization Anomalies in Parallel Programs. Int. J. Parallel Program. 43 (4) (2015)
Bo Zhao, Zhen Li, Ali Jannesari, Felix Wolf, Weiguo Wu
Dependence-Based Code Transformation for Coarse-Grained Parallelism. COSMIC@CGO (2015)
Zhen Li, Bo Zhao, Ali Jannesari, Felix Wolf
Beyond Data Parallelism: Identifying Parallel Tasks in Sequential Programs. ICA3PP (4) (2015)
Zhen Li, Michael Beaumont, Ali Jannesari, Felix Wolf
Fast Data-Dependence Profiling by Skipping Repeatedly Executed Memory Operations. ICA3PP (4) (2015)
Zhen Li, Ali Jannesari, Felix Wolf
An Efficient Data-Dependence Profiler for Sequential and Parallel Programs. IPDPS (2015)
Arya Mazaheri, Ali Jannesari, Abdolreza Mirzaei, Felix Wolf
Characterizing Loop-Level Communication Patterns in Shared Memory. ICPP (2015)
Mohammad Norouzi Arab, Ali Jannesari
Resource and application-aware resource discovery in computing environments. J. Supercomput. 71 (3) (2015)
Jochen Schimmel, Korbinian Molitorisz, Ali Jannesari, Walter F. Tichy
Combining Unit Tests for Data Race Detection. AST@ICSE (2015)
Yang Xiao, Zhen Li, Ehsan Atoofian, Ali Jannesari
Automatic Optimization of Software Transactional Memory Through Linear Regression and Decision Tree. ICA3PP (4) (2015)
Rohit Atre, Ali Jannesari, Felix Wolf
The Basic Building Blocks of Parallel Tasks. COSMIC@CGO (2015)
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)
Zia Ul Huda, Ali Jannesari, Felix Wolf
Using Template Matching to Infer Parallel Design Patterns. ACM Trans. Archit. Code Optim. 11 (4) (2014)
Ali Jannesari, Nico Koprowski, Jochen Schimmel, Felix Wolf
Generating Classified Parallel Unit Tests. TAP@STAF (2014)
Ali Jannesari, Walter F. Tichy
Library-Independent Data Race Detection. IEEE Trans. Parallel Distributed Syst. 25 (10) (2014)
Ali Jannesari, Felix Wolf, Walter F. Tichy
SEPS 2014: first international workshop on software engineering for parallel systems. SPLASH (Companion Volume) (2014)
Daniel Fried, Zhen Li, Ali Jannesari, Felix Wolf
Predicting Parallelization of Sequential Programs Using Supervised Learning. ICMLA (2) (2013)
Zhen Li, Ali Jannesari, Felix Wolf
Discovery of Potential Parallelism in Sequential Programs. ICPP (2013)
Jochen Schimmel, Korbinian Molitorisz, Ali Jannesari, Walter F. Tichy
Automatic generation of parallel unit tests. AST (2013)
Ali Jannesari, Nico Koprowski, Jochen Schimmel, Felix Wolf, Walter F. Tichy
Detecting Correlation Violations and Data Races by Inferring Non-deterministic Reads. ICPADS (2013)
Ali Jannesari, Markus Westphal-Furuya, Walter F. Tichy
Dynamic Data Race Detection for Correlated Variables. ICA3PP (1) (2011)
Ali Jannesari, Walter F. Tichy
Identifying ad-hoc synchronization for enhanced race detection. IPDPS (2010)
Ali Jannesari, Kaibin Bao, Victor Pankratius, Walter F. Tichy
Helgrind+: An efficient dynamic race detector. IPDPS (2009)
Victor Pankratius, Ali Jannesari, Walter F. Tichy
Parallelizing Bzip2: A Case Study in Multicore Software Engineering. IEEE Softw. 26 (6) (2009)
Ali Jannesari, Walter F. Tichy
On-the-fly race detection in multi-threaded programs. PADTAD (2008)
Victor Pankratius, Christoph A. Schaefer, Ali Jannesari, Walter F. Tichy
Software engineering for multicore systems: an experience report. IWMSE@ICSE (2008)