|
|
| Title | A GPU Task-Parallel Model with Dependency Resolution
(Article) |
|---|
| in | IEEE Computer |
|---|
|
| Author(s) |
Stanley Tzeng, Brandon Lloyd, John D. Owens |
|---|
|
| Keyword(s) | Graphics processors, Parallel processing, video encoding |
|---|
|
| Year |
August 2012
|
|---|
| Volume | 45 |
|---|
| Number | 8 |
|---|
| Publisher | ACM |
|---|
|
| Pages | 10 |
|---|
|
| Download |  |
|---|
|
| BibTeX |  |
|---|
|
| Abstract |
We present a task-parallel programming model for the GPU. Our task model is robust enough to handle irregular workloads that contain dependencies. We present two dependency-aware scheduling schemes—static and dynamic—and analyze their behavior using a synthetic workload. We apply our methods to intra prediction in the H.264 video codec and an N-queens backtracking problem.
|
|---|
|
|
