nicholasmalaya
AMD Fellow, High Performance Computing @AMD-HPC @ROCm | Research Interests: HPC, Exascale Computing, Bayesian Inference, and ML/AI
AMDAustin, TX
Pinned Repositories
cantera
Chemical kinetics, thermodynamics, and transport tool suite
MASA
Method of Manufactured Solutions Repository
AMD-RIPS2017
Repository for AMD project at RIPS 2017
antioch
Antioch GitHub repository
arcanus
Personal Repository
nicholasmalaya.github.io
Public Website for Nicholas Malaya
shadow-channel
Shadow trajectories of the incompressible navier-stokes equations, for channel flow (1 degree of inhomogeneity)
vita
CV in various formats
kernels
Kernels for Intel KNL
nicholasmalaya's Repositories
nicholasmalaya/AMD-RIPS2017
Repository for AMD project at RIPS 2017
nicholasmalaya/antioch
Antioch GitHub repository
nicholasmalaya/arcanus
Personal Repository
nicholasmalaya/shadow-channel
Shadow trajectories of the incompressible navier-stokes equations, for channel flow (1 degree of inhomogeneity)
nicholasmalaya/vita
CV in various formats
nicholasmalaya/nicholasmalaya.github.io
Public Website for Nicholas Malaya
nicholasmalaya/ar
Autoregressive process modeling tools in header-only C++
nicholasmalaya/codemeta
Minimal metadata schemas for science software and code, in JSON and XML
nicholasmalaya/CoralGemm
nicholasmalaya/grins
GRINS code repository
nicholasmalaya/HIP
HIP : Convert CUDA to Portable C++ Code
nicholasmalaya/hpcg
Official HPCG benchmark source code
nicholasmalaya/malmatmul
Mat*Mat L3 Blas
nicholasmalaya/MASA
Method of Manufactured Solutions Repository
nicholasmalaya/occa
OCCA: Portable Approach for Parallel Architectures (http://libocca.org)
nicholasmalaya/olcf-user-docs
Sources for the Oak Ridge Leadership Computing Facility User Documentation
nicholasmalaya/queso
QUESO is a C++ library for doing uncertainty quantification. QUESO stands for Quantification of Uncertainty for Estimation, Simulation and Optimization.
nicholasmalaya/shoc
The SHOC Benchmark Suite
nicholasmalaya/theory_doc
Documentation of various physics kernels, their weak forms, etc. present in the GRINS framework