The performance benefits of GPU parallelism can be enormous, but unlocking this performance potential is challenging. The applicability and performance of GPU parallelizations is...
Thomas B. Jablin, Prakash Prabhu, James A. Jablin,...
The StreamIt programming model has been proposed to exploit parallelism in streaming applications on general purpose multicore architectures. The StreamIt graphs describe task, da...
Abhishek Udupa, R. Govindarajan, Matthew J. Thazhu...
: In this paper, we apply Particle-based Volume Rendering (PBVR) technique using a current programmable GPU architecture. Recently, the increasing programmability of GPU offers an ...
Naohisa Sakamoto, Jorji Nonaka, Koji Koyamada, Sat...
This paper presents a performance analysis of an accelerated 2-D rigid image registration implementation that employs the Compute Unified Device Architecture (CUDA) programming e...
Recently, graphics processing units (GPUs) are providing increasingly higher performance with programmable internal processors, namely vertex processors (VPs) and fragment process...