Demand to perform machine learning (ML) tasks in microcontroller unit (MCU)-based edge devices instead of the server, that have limited resources, is gradually increasing. TinyML framework makes possible that creating ML firmware in a language that can ...

HPL(High Performance Linpack) is the standard benchmark used to evaluate supercomputers (high-performance computing systems) around the world. HPL solves a linear system of equations, Ax=b, through a series of mathematical processes such as 2D Block-...

We present a series of optimizations to alleviate stack memory overflow issues and improve overall performance of GPU computational kernels in atmospheric chemical kinetics model simulations. We use heap memory in numerical solvers for stiff ODEs, move ...

We present a GPU implementation of the high order Discontinuous Galerkin (DG) scheme in SeisSol, a software package for simulating seismic waves and earthquake dynamics. Our particular focus is on providing a performance portable solution for ...

We present our design and implementation of a runtime for the Space Consistency model. The Space Consistency model is a generalized form of the full-empty bit synchronization for distributed memory programming, where a memory region is associated with a ...

Matrix-matrix multiplication (GEMM) is a widely used linear algebra primitive common in scientific computing and data sciences. While several highly-tuned libraries and implementations exist, these typically target either sparse or dense matrices. The ...

On Krylov subspace methods such as the Conjugate Gradient (CG) method, the number of iterations until convergence may increase due to the loss of computational accuracy caused by rounding errors in floating-point computations. At the same time, because ...