News

Paper "ConTraPh: Contrastive Learning for Parallelization and Performance Optimization" accepted by the  ACM International Conference on Supercomputing (ICS 2025).

Paper "AutoParLLM: GNN-guided Context Generation for Zero-Shot Code Parallelization using LLMs" accepted at main conference by the Annual Conference of the Nations of the Americas Chapter of the Association for Co

Paper "CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming" accepted by the 38th Conference on Neural Information Processing Systems (NeurIPS 2024).

Two papers from our lab have been accepted by the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2024):

Our Paper "PERFOGRAPH" (a collaboration between ISU-Intel)  is highlighted by Intel Labs at NeurIPS 2023!

Our poster "PERFOGRAPH" is among the top 3 best CS Poster Presentations in 2023:

3rd Place

Paper "PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis" accepted by the 37th Conference on Neural Information Processing Systems (NeurIPS 2023).

Paper "Performance Optimization using Multimodal Modeling and Heterogeneous GNN" accepted by the ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2023).

Paper "Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation" accepted by the ACM Conference on Machine Learning and Systems (MLSys 2023).

Paper "Power Constrained Autotuning using Graph Neural Networks" accepted by the IEEE International Parallel and Distributed Processing Symposium (IPDPS 2023).

Ali Jannesari organizes and moderates the Panel on "AI for HPC" on Nov 14th, 2022, during the ESPM2 2022 Workshop (Seventh International Workshop on Extreme Scale Programming Models and Middleware), co-located with SC 2022.

Paper "SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning" accepted by the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC).

Paper "Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning" accepted by the 39th International Conference on Machine Learning (ICML).

Sixing Yu, SwAPP Lab Ph.D. Student, received the 2022 ISU College Research Excellence Award. Congratulation Sixing!

Paper "Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization" accepted by the IEEE International Parallel and Distributed Processing Symposium (IPDPS).

Paper "Auto Graph Encoder-Decoder for Neural Network Pruning" accepted by the IEEE International Conference on Computer Vision (ICCV).

Paper "Reducing Energy in GPGPUs through Approximate Trivial Bypassing" accepted by the ACM Transactions on Embedded Computing Systems (TECS).

Paper "Building representative and balanced datasets of OpenMP parallel regions" accepted by the 29th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).

Software Analytics and Pervasive Parallelism Laboratory in collaboration with Laboratory for Parallel Programming, TU Darmstadt released the open-source profiling and parallelization framework DiscoPoP, a contribution to HPC an