Jeffrey S Vetter Section Head - Advanced Computing Systems Research Contact VETTER@ORNL.GOV All Publications ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-Based Neuromorphic Processors... Extending SEER for Extreme Heterogeneity JACC.shared: Leveraging HPC Metaprogramming and Performance Portability for Computations That Use Shared Memory GPUs IRIS-MEMFLOW: Data Flow-Enabled Portable Memory Orchestration in IRIS Runtime for Diverse Heterogeneity Mapping Spiking Neural Networks to Heterogeneous Crossbar Architectures using Integer Linear Programming Performance Impact and Trade-Offs for Tuning Key Architectural Parameters on CPU+GPU Systems... COSMIC DAWN: Distributed Analysis of Wireless at Nextscale ChatBLAS: The First AI-Generated and Portable BLAS Library IRIS-GNN: Leveraging Graph Neural Networks for Scheduling on Truly Heterogeneous Runtime Systems... Large language model evaluation for high‐performance computing software development A Performance-Portable MultiGPU Implementation of 3D Euler Equations using ProtoX and IRIS JACC: Leveraging HPC Meta-Programming and Performance Portability with the Just-in-Time and LLVM-based Julia Language Integrating ORNL’s HPC and Neutron Facilities with a Performance-Portable CPU/GPU Ecosystem CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous Systems IRIS: A Performance-Portable Framework for Cross-Platform Heterogeneous Computing Neuro-Spark: A Submicrosecond Spiking Neural Networks Architecture for In-Sensor Filtering Clacc: OpenACC for C/C++ in Clang MatRIS: Addressing the Challenges for Portability and Heterogeneity Using Tasking for Matrix Decomposition (Cholesky) IRIS Reimagined: Advancements in Intelligent Runtime System for Task-Based Programming IRIS: Exploring Performance Scaling of the Intelligent Runtime System and its Dynamic Scheduling Policies eCC++ : A Compiler Construction Framework for Embedded Domain-Specific Languages sKokkos: Enabling Kokkos with Transparent Device Selection on Heterogeneous Systems using OpenACC Errant Beam Detection Using the AMD Versal ACAP and Vitis AI Arithmetic Primitives for Efficient Neuromorphic Computing Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs Pagination Current page 1 Page 2 Page 3 … Next page ›› Last page Last » Key Links ORCID LinkedIn GitHub Personal Home Page Google Scholar Publications
Research Highlight High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory