Ali Jannesari

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 38

Top Topics

Weakly Supervised Learning

Graph Representation

Spatiotemporal Data

Top Venues

Tiny Papers @ ICLR

IPDPS Workshops

Publications

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 (2024)
Sixing Yu, Juan Pablo Muñoz, Ali Jannesari
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. LREC/COLING (2024)
Akash Dutta, Ali Jannesari
MIREncoder: Multi-modal IR-based Pretrained Embeddings for Performance Optimizations. CoRR (2024)
Branden Butler, Sixing Yu, Arya Mazaheri, Ali Jannesari
PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation. CoRR (2024)
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 (2024)
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)
Chandan Kumar, Ali Jannesari, Matthew J. Darr
Discerning Self-supervised Learning and Weakly Supervised Learning. Tiny Papers @ ICLR (2024)
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 (2024)
Mohammad Norouzi Arab, Nicolas Morew, Qamar Ilias, Lukas Rothenberger, Ali Jannesari, Felix Wolf
Fast data-dependence profiling through prior static analysis. Parallel Comput. 119 (2024)
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 (2024)
Hung Phan, Ali Jannesari
Leveraging Statistical Machine Translation for Code Search. EASE (2024)
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)
Chandan Kumar, Jansel Herrera-Gerena, John Just, Matthew J. Darr, Ali Jannesari
Unsupervised learning based object detection using Contrastive Learning. CoRR (2024)
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 (2024)
Ali TehraniJamsaz, Hanze Chen, Ali Jannesari
GraphBinMatch: Graph-Based Similarity Learning for Cross-Language Binary and Source Code Matching. IPDPS (Workshops) (2024)
Luke Marzen, Akash Dutta, Ali Jannesari
Static Generation of Efficient OpenMP Offload Data Mappings. CoRR (2024)
Duy Phuong Nguyen, J. Pablo Munoz, Ali Jannesari
FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning. CoRR (2024)
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 (2024)
Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Eduardo César, Anna Sikora, Ali Jannesari
Performance Optimization using Multimodal Modeling and Heterogeneous GNN. HPDC (2023)
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)
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 (2023)
Waqwoya Abebe, Ali Jannesari
Optimizing Decentralized Learning with Local Heterogeneity using Topology Morphing and Clustering. CCGrid (2023)
Duy Phuong Nguyen, Sixing Yu, J. Pablo Muñoz, Ali Jannesari
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion. SC Workshops (2023)
Chandan Kumar, Matthew J. Darr, Ali Jannesari
Discerning Self-Supervised Learning and Weakly Supervised Learning. Tiny Papers @ ICLR (2023)
Waqwoya Abebe, Juan Pablo Muñoz, Ali Jannesari
LEFL: Low Entropy Client Sampling in Federated Learning. CoRR (2023)
Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Hung D. Phan, Nesreen K. Ahmed, Ali Jannesari
AUTOPARLLM: GNN-Guided Automatic Code Parallelization using Large Language Models. CoRR (2023)
Sixing Yu, J. Pablo Muñoz, Ali Jannesari
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning. CoRR (2023)
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 (2023)
Arijit Bhattacharjee, Christopher S. Daley, Ali Jannesari
OpenMP Offload Features and Strategies for High Performance across Architectures and Compilers. IPDPS Workshops (2023)
Justin Stanley, Ali Jannesari
Addressing Stale Gradients in Scalable Federated Deep Reinforcement Learning. SC Workshops (2023)
Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. MLSys (2023)
Hung D. Phan, Ali Jannesari
Integrating Information from Natural Language Parse Tree to Code Generation. Tiny Papers @ ICLR (2023)
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) (2023)
Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari
Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient. CCGrid (2023)
Chandan Kumar, Ali Jannesari
Optimal Deep Learning Model for UAVs: A Case Study. WPMC (2023)
Akash Dutta, Jee Choi, Ali Jannesari
Power Constrained Autotuning using Graph Neural Networks. IPDPS (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. NeurIPS (2023)
Aishwarya Sarkar, Jien Zhang, Chaoqun Lu, Ali Jannesari
Domain-Aware Scalable Distributed Training for Geo-Spatiotemporal Data. IPDPS Workshops (2023)