TH-1: China's first petaflop supercomputer
Frontiers of Computer Science in China
Proceedings of the 14th international conference on Model driven engineering languages and systems
MDE4HPC: an approach for using model-driven engineering in high-performance computing
SDL'11 Proceedings of the 15th international conference on Integrating System and Software Modeling
HPCML: a modeling language dedicated to high-performance scientific computing
Proceedings of the 1st International Workshop on Model-Driven Engineering for High Performance and CLoud computing
Efficient GPU implementation of the integral histogram
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
Optimizing LZSS compression on GPGPUs
Future Generation Computer Systems
| Hi-index | 0.00 |
In the past, graphics processors were special purpose hardwired application accelerators, suitable only for conventional rasterization-style graphics applications. Modern GPUs are now fully programmable, massively parallel floating point processors. This talk will describe NVIDIA's massively multithreaded computing architecture and CUDA software for GPU computing. The architecture is a scalable, highly parallel architecture that delivers high throughput for data-intensive processing. Although not truly general-purpose processors, GPUs can now be used for a wide variety of compute-intensive applications beyond graphic.