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 has 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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CUDA Fortran for Scientists and Engineers
Pro Tip: Pinpointing Runtime Errors in CUDA Fortran
By Greg Ruetsch |
Accelerated Computing
4
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GPU Pro Tip
CUDA Pro Tip: How to Call Batched cuBLAS routines from CUDA Fortran
By Greg Ruetsch |
Accelerated Computing
2
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CUDA Fortran for Scientists and Engineers
Peer-to-Peer Multi-GPU Transpose in CUDA Fortran (Book Excerpt)
By Greg Ruetsch |
Accelerated Computing
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cuda_fortran_simple
Finite Difference Methods in CUDA Fortran, Part 2
By Greg Ruetsch |
Accelerated Computing
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cuda_fortran_simple
Finite Difference Methods in CUDA Fortran, Part 1
By Greg Ruetsch |
Accelerated Computing
2
1
cuda_fortran_simple
An Efficient Matrix Transpose in CUDA Fortran
By Greg Ruetsch |
Accelerated Computing
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cuda_fortran_simple
Using Shared Memory in CUDA Fortran
By Greg Ruetsch |
Accelerated Computing
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cuda_fortran_simple
How to Access Global Memory Efficiently in CUDA Fortran Kernels
By Greg Ruetsch |
Accelerated Computing
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cuda_fortran_simple
How to Overlap Data Transfers in CUDA Fortran
By Greg Ruetsch |
Accelerated Computing
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cuda_fortran_simple
How to Optimize Data Transfers in CUDA Fortran
By Greg Ruetsch |
Accelerated Computing
0
1
cuda_fortran_simple
How to Query Device Properties and Handle Errors in CUDA Fortran
By Greg Ruetsch |
Accelerated Computing
4
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cuda_fortran_simple
How to Implement Performance Metrics in CUDA Fortran
By Greg Ruetsch |
Accelerated Computing
6
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cuda_fortran_simple
An Easy Introduction to CUDA Fortran
By Greg Ruetsch |