TY  - BOOK
AU  - Ghosh, Abhishek
AU  - Advised by Basu, Arkaprava
TI  - PyGraph : : compiler support for efficient and transparent use of CUDA graphs
U1  - 621.39  
PY  - 2024///
CY  - Bangalore : 
PB  - Indian Institute of Science.
KW  - GPUs
KW  - Hardware-software interface
KW  - Performance
KW  - GPU software
KW  - ML Compilers
KW  - CUDA Graphs
N1  - Includes bibliographical references; MTech(Res);2025;Computer Science and Automation
N2  - CUDA Graphs --- a recent hardware feature introduced for NVIDIA GPUs --- aim to reduce CPU launch overhead by capturing and launching a series of GPU tasks (kernels) as a DAG. However, deploying CUDA Graphs faces several challenges today due to the static structure of a graph. It also incurs performance overhead due to data copy. In fact, we show a counter-intuitive result --- deploying CUDA Graphs hurts performance in many cases
UR  - https://etd.iisc.ac.in/handle/2005/6781
ER  -