binarybana · January 27, 2025 18:43
diff --git a/gistfile1.txt b/gistfile1.txt
 Using the below four author profiles as a guide, help me write my own technical blog profile for the NVIDIA tech blog.

 ```
 About Andrew Kerr
 Andrew is a Senior GPU Compute Architect at NVIDIA. He joined NVIDIA's Compute Architecture group in 2012 after finishing his Ph.D. at Georgia Institute of Technology. Lately, Andrew's technical focus has been to design and implement abstractions for linear algebra on GPUs to facilitate programmability as performance continues to scale.
 View all posts by Andrew Kerr
 Duane MerrillAbout Duane Merrill
 Duane Merrill is a Senior Research Scientist with NVIDIA Research.  His principal research interests are parallel algorithm and programming model design. In particular, his work has focused on problems involving sparse, irregular, and cooperative computation, notably parallel sorting and graph algorithms. He is the author of CUB, a library of “collective” software primitives to simplify CUDA kernel construction, performance tuning, and maintenance. He received his Ph. D. from the University of Virginia.
 View all posts by Duane Merrill
 Avatar photoAbout Julien Demouth
 Julien is a Senior Manager in the GPU Architecture group at NVIDIA. He is one of the co-authors of many of the low level implementations for Deep Learning in cuDNN and TensorRT. Among other things, Julien wrote the first version of FFT-based 2D convolutions for cuDNN, he wrote a large fraction of the Implicit GEMM convolutions for Maxwell, Pascal and Volta GPUs, and he is the author of several Winograd implementations. Julien holds a Ph.D. in Computational Geometry from INRIA in France.
 View all posts by Julien Demouth
 John TranAbout John Tran
 John is a Director in the GPU Architecture group at NVIDIA. He joined NVIDIA in 2005, contributing to almost every major GPU architecture released since then. He spent a few years in NVIDIA Research, but is now back in the GPU Architecture team, leading several of NVIDIA’s Deep Learning architecture and software efforts. John completed his Master’s degree at the University of Virginia and undergraduate degree at Duke University.
 ```
 Here is information about me (<FILL>) to help with the bio:
 ```
 <FILL>
 ```

 And here's what they asked for: `Bio (3-5 sentences about current role, technology interests, and education)`

 And here's my LinkedIn profile activity:

 ```
 <FILL>
 ```
	Using the below four author profiles as a guide, help me write my own technical blog profile for the NVIDIA tech blog.

	```
	About Andrew Kerr
	Andrew is a Senior GPU Compute Architect at NVIDIA. He joined NVIDIA's Compute Architecture group in 2012 after finishing his Ph.D. at Georgia Institute of Technology. Lately, Andrew's technical focus has been to design and implement abstractions for linear algebra on GPUs to facilitate programmability as performance continues to scale.
	View all posts by Andrew Kerr
	Duane MerrillAbout Duane Merrill
	Duane Merrill is a Senior Research Scientist with NVIDIA Research. His principal research interests are parallel algorithm and programming model design. In particular, his work has focused on problems involving sparse, irregular, and cooperative computation, notably parallel sorting and graph algorithms. He is the author of CUB, a library of “collective” software primitives to simplify CUDA kernel construction, performance tuning, and maintenance. He received his Ph. D. from the University of Virginia.
	View all posts by Duane Merrill
	Avatar photoAbout Julien Demouth
	Julien is a Senior Manager in the GPU Architecture group at NVIDIA. He is one of the co-authors of many of the low level implementations for Deep Learning in cuDNN and TensorRT. Among other things, Julien wrote the first version of FFT-based 2D convolutions for cuDNN, he wrote a large fraction of the Implicit GEMM convolutions for Maxwell, Pascal and Volta GPUs, and he is the author of several Winograd implementations. Julien holds a Ph.D. in Computational Geometry from INRIA in France.
	View all posts by Julien Demouth
	John TranAbout John Tran
	John is a Director in the GPU Architecture group at NVIDIA. He joined NVIDIA in 2005, contributing to almost every major GPU architecture released since then. He spent a few years in NVIDIA Research, but is now back in the GPU Architecture team, leading several of NVIDIA’s Deep Learning architecture and software efforts. John completed his Master’s degree at the University of Virginia and undergraduate degree at Duke University.
	```
	Here is information about me (<FILL>) to help with the bio:
	```
	<FILL>
	```

	And here's what they asked for: `Bio (3-5 sentences about current role, technology interests, and education)`

	And here's my LinkedIn profile activity:

	```
	<FILL>
	```