Publications
You can find the articles on Google Scholar, too.
| Year | Title & Authors | Venue | Links |
|---|---|---|---|
| 2025 | Amirhossein Sojoodi, Amir Farazdaghi, Hamed Sharifian, Ryan E. Grant, Ahmad Afsahi “Collaborative Bandwidth-Efficient Intra-Node Allreduce” | AsHES Workshop | 📄 DOI · 📥 PDF 📚 BIB · 📊 Slides |
| 2024 | Yıltan Hassan Temucin, Whit Schonbein, Scott Levy, Amirhossein Sojoodi, Ryan E Grant, Ahmad Afsahi “Design and Implementation of MPI-Native GPU-Initiated MPI Partitioned Communication” | ExaMPI Workshop | 📄 DOI · 📥 PDF 📚 BIB |
| 2024 | Hamed Sharifian, Amirhossein Sojoodi, Ahmad Afsahi “A Topology- and Load-Aware Design for Neighborhood Allgather” | IEEE CLUSTER | 📄 DOI · 📥 PDF 📚 BIB |
| 2024 | Amirhossein Sojoodi, Yiltan Hassan Temucin, Ahmad Afsahi “Enhancing Intra-Node GPU-to-GPU Performance in MPI + UCX through Multi-Path Communication” 🏆 Best Paper Award | ExHET Workshop | 📄 DOI · 📥 PDF 📚 BIB · 📊 Slides |
| 2022 | Pedram Alizadeh, Amirhossein Sojoodi, Yiltan Hassan Temucin, Ahmad Afsahi “Efficient Process Arrival Pattern Aware Collective Communication for Deep Learning” | EuroMPI | 📄 DOI · 📥 PDF 📚 BIB |
| 2022 | Philipp A. Witte, Russell J. Hewett, Kumar Saurabh, Amirhossein Sojoodi, Ranveer Chandra “SciAI4Industry - Solving PDEs for industry-scale problems with deep learning” | arXiv | 📄 DOI |
| 2021 | Yiltan Hassan Temucin, Amirhossein Sojoodi, Pedram Alizadeh, Benjamin W Kitor, Ahmad Afsahi “Accelerating Deep Learning using Interconnect-Aware UCX Communication for MPI Collectives” | IEEE Micro | 📄 DOI · 📥 PDF 📚 BIB |
| 2021 | Yiltan Hassan Temucin, Amirhossein Sojoodi, Pedram Alizadeh, Ahmad Afsahi “Efficient Multi-Path NVLink / PCIe-Aware UCX based Collective Communication for Deep Learning” | IEEE HOTI | 📄 DOI · 📥 PDF 📚 BIB |
| 2020 | Majid Salimi Beni, Amirhossein Sojoodi, Farshad Khunjush “A GPU-Enabled Extension for Apache Ignite to Facilitate Running Genetic Algorithms” | CADS Symposium | 📄 DOI · 📥 PDF 📚 BIB |
| 2020 | Amirhossein Sojoodi, Majid Salimi Beni, Farshad Khunjush “Ignite-GPU: a GPU-enabled in-memory computing architecture on clusters” | Journal of Supercomputing | 📄 DOI · 📥 PDF 📚 BIB |