A Performance Portable Matrix Free Dense MTTKRP in GenTen

We extend the GenTen tensor decomposition package by introducing an accelerated dense matricized tensor times Khatri-Rao product (MTTKRP), the workhorse kernel for canonical polyadic (CP) tensor de…

Performant Unified GPU Kernels for Portable Singular Value Computation Across Hardware and Precision

This paper presents a portable, GPU-accelerated implementation of a QR-based singular value computation algorithm in Julia. The singular value ecomposition (SVD) is a fundamental numerical tool in …

Performance Portable Gradient Computations Using Source Transformation

Derivative computation is a key component of optimization, sensitivity analysis, uncertainty quantification, and nonlinear solvers. Automatic differentiation (AD) is a powerful technique for evalua…

Leveraging LLVM OpenMP GPU Offload Optimizations for Kokkos Applications

OpenMP provides a cross-vendor API for GPU offload that can serve as an implementation layer under performance portability frameworks like the Kokkos C++ library. However, recent work identified so…

Evaluating HPX and Kokkos on RISC-V using an astrophysics application Octo-Tiger | Proceedings of the SC '23 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis

Asynchronous-Many-Task Systems: Challenges and Opportunities – Scaling an AMR Astrophysics Code on Exascale machines using Kokkos and HPX

Dynamic and adaptive mesh refinement is pivotal in high-resolution, multi-physics, multi-model simulations, necessitating precise physics resolution in localized areas across expansive domains. Tod…

Kokkidio: Fast, expressive, portable code, based on Kokkos and Eigen

Kokkidio is a newly developed C++ template library that combines the performance portability framework Kokkos and its strength in utilising GPUs with the expressive syntax and CPU optimisations of …