Narasinga Rao Miniskar Senior R&D Staff and Group Lead of Architecture Performance Group Contact 865.341.0224 | miniskarnr@ornl.gov All Publications Ultra Low Latency Machine Learning for Scientific Edge Applications CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous Systems Oak Ridge National Laboratory's Strategic Research and Development Insights for Digital Twins 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 An FPGA-Based Neuromorphic Processor with All-to-All Connectivity MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime... IRIS-DMEM: Efficient Memory Management for Heterogeneous Computing On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments A survey on processing-in-memory techniques: Advances and challenges Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials A 3D Implementation of Convolutional Neural Network for Fast Inference Tiling Framework for Heterogeneous Computing of Matrix based Tiled Algorithms Adrastea: An Efficient FPGA Design Environment for Heterogeneous Scientific Computing and Machine Learning IRIS-BLAS: Towards a Performance Portable and Heterogeneous BLAS Library... LaRIS: Targeting Portability and Productivity for LAPACK Codes on Extreme Heterogeneous Systems by Using IRIS Toward Performance Portable Programming for Heterogeneous System-on-Chips: Case Study with Qualcomm Snapdragon SoC A Hierarchical Task Scheduler for Heterogeneous Computing A Memory Efficient Lock-Free Circular Queue Deffe: A Data-efficient Framework for Performance Characterization in Domain-Specific Computing Key Links Curriculum Vitae Google Scholar ORCID LinkedIn GitHub Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Advanced Computing Systems Research Section Architectures and Performance Group