M. A. H. Monil Research Scientist Contact 865.341.2038 | MONILM@ORNL.GOV All Publications A Performance-Portable MultiGPU Implementation of 3D Euler Equations using ProtoX and IRIS IRIS-GNN: Leveraging Graph Neural Networks for Scheduling on Truly Heterogeneous Runtime Systems CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous Systems MatRIS: Addressing the Challenges for Portability and Heterogeneity Using Tasking for Matrix Decomposition (Cholesky) IRIS: Exploring Performance Scaling of the Intelligent Runtime System and its Dynamic Scheduling Policies IRIS Reimagined: Advancements in Intelligent Runtime System for Task-Based Programming FFTX-IRIS: Towards Performance Portability and Heterogeneity for SPIRAL Generated Code... MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime... IRIS-DMEM: Efficient Memory Management for Heterogeneous Computing Tiling Framework for Heterogeneous Computing of Matrix based Tiled Algorithms IRIS-BLAS: Towards a Performance Portable and Heterogeneous BLAS Library... Leveraging Compiler-Based Translation to Evaluate a Diversity of Exascale Platforms LaRIS: Targeting Portability and Productivity for LAPACK Codes on Extreme Heterogeneous Systems by Using IRIS Evaluating HPC Kernels for Processing in Memory MAPredict: Static Analysis Driven Memory Access Prediction Framework for Modern CPUs Comparing LLC-Memory Traffic between CPU and GPU Architectures Key Links Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Advanced Computing Systems Research Section Architectures and Performance Group