Lecture2 cuda spring 2010
GPGPU Ing. Martino Ruggiero Ing. Andrea Marongiu [email protected]@unibo.it [email protected]@unibo.it.
© David Kirk/NVIDIA and Wen-mei W. Hwu, 2007-2010 ECE 498AL, University of Illinois, Urbana-Champaign 1 Programming Massively Parallel Processors Lecture.
GPGPU
Lecture 12: Attributes, Performance and Scalability Many-Core vs. CUDA Synchronization.
1 CIS 665: GPU Programming Lecture 2: The CUDA Programming Model.