About the author
Greg Ruetsch
Greg Ruetsch is a senior applied engineer at NVIDIA, where he works on CUDA Fortran and performance optimization of HPC codes. He holds a bachelor’s degree in mechanical and aerospace engineering from Rutgers University and a Ph.D. in applied mathematics from Brown University. Prior to joining NVIDIA, he held research positions at Stanford University’s Center for Turbulence Research and Sun Microsystems Laboratories.
Post by Greg Ruetsch
Accelerated Computing
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0
CUDA Fortran for Scientists and Engineers
Pro Tip: Pinpointing Runtime Errors in CUDA Fortran
By Greg Ruetsch |
Accelerated Computing
4
0
GPU Pro Tip
CUDA Pro Tip: How to Call Batched cuBLAS routines from CUDA Fortran
By Greg Ruetsch |
Accelerated Computing
2
0
CUDA Fortran for Scientists and Engineers
Peer-to-Peer Multi-GPU Transpose in CUDA Fortran (Book Excerpt)
By Greg Ruetsch |
Accelerated Computing
5
0
cuda_fortran_simple
Finite Difference Methods in CUDA Fortran, Part 2
By Greg Ruetsch |
Accelerated Computing
0
0
cuda_fortran_simple
Finite Difference Methods in CUDA Fortran, Part 1
By Greg Ruetsch |
Accelerated Computing
2
3
cuda_fortran_simple
An Efficient Matrix Transpose in CUDA Fortran
By Greg Ruetsch |
Accelerated Computing
0
3
cuda_fortran_simple
Using Shared Memory in CUDA Fortran
By Greg Ruetsch |
Accelerated Computing
0
5
cuda_fortran_simple
How to Access Global Memory Efficiently in CUDA Fortran Kernels
By Greg Ruetsch |
Accelerated Computing
0
2
cuda_fortran_simple
How to Overlap Data Transfers in CUDA Fortran
By Greg Ruetsch |
Accelerated Computing
1
1
cuda_fortran_simple
How to Optimize Data Transfers in CUDA Fortran
By Greg Ruetsch |
Accelerated Computing
2
1
cuda_fortran_simple
How to Query Device Properties and Handle Errors in CUDA Fortran
By Greg Ruetsch |
Accelerated Computing
4
0
cuda_fortran_simple
How to Implement Performance Metrics in CUDA Fortran
By Greg Ruetsch |
Accelerated Computing
7
11
cuda_fortran_simple
An Easy Introduction to CUDA Fortran
By Greg Ruetsch |