Name: Nicholas Malaya
Type: User
Company: AMD
Bio: AMD Fellow, High Performance Computing @AMD-HPC @ROCm | Research Interests: HPC, Exascale Computing, Bayesian Inference, and ML/AI
Twitter: nicholasmalaya
Location: Austin, TX
Blog: nicholasmalaya.github.io/
Nicholas Malaya's Projects
Repository for AMD project at RIPS 2017
Antioch GitHub repository
Autoregressive process modeling tools in header-only C++
Personal Repository
Minimal metadata schemas for science software and code, in JSON and XML
GRINS code repository
HIP : Convert CUDA to Portable C++ Code
Official HPCG benchmark source code
Mat*Mat L3 Blas
Method of Manufactured Solutions Repository
Public Website for Nicholas Malaya
OCCA: Portable Approach for Parallel Architectures (http://libocca.org)
Sources for the Oak Ridge Leadership Computing Facility User Documentation
QUESO is a C++ library for doing uncertainty quantification. QUESO stands for Quantification of Uncertainty for Estimation, Simulation and Optimization.
Shadow trajectories of the incompressible navier-stokes equations, for channel flow (1 degree of inhomogeneity)
The SHOC Benchmark Suite
Documentation of various physics kernels, their weak forms, etc. present in the GRINS framework
CV in various formats