Name
Title | ||
|---|---|---|
An adaptative game loop architecture with automatic distribution of tasks between CPU and GPU |
Abstract | ||
|---|---|---|
This article presents a new architecture to implement all game loop models for games and real-time applications that use the GPU as a mathematics and physics coprocessor, working in parallel processing mode with the CPU. The presented model applies automatic task distribution concepts. The architecture can apply a set of heuristics defined in Lua scripts in order to get acquainted with the best processor for handling a given task. The model applies the GPGPU (general-purpose computation on GPUs) paradigm. In this article we propose an architecture that acquires knowledge about the hardware by running tasks in each processor and, by studying their performance over time, finding the best processor for a group of tasks. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1658866.1658869 | Computers in Entertainment (CIE) - SPECIAL ISSUE: Games |
Keywords | Field | DocType |
lua script,physics coprocessor,automatic distribution,adaptative game loop architecture,gpgpu,best processor,automatic task distribution concept,parallel processing mode,general-purpose computation,new architecture,game loop model,real-time application,task distribution,game loops,parallel processing | Game programming,Architecture,Central processing unit,Computer science,Parallel computing,Heuristics,General-purpose computing on graphics processing units,Coprocessor,Scripting language,Computation | Journal |
Volume | Issue | Citations |
7 | 4 | 14 |
PageRank | References | Authors |
0.75 | 10 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mark Joselli | 1 | 88 | 6.95 |
| Marcelo Zamith | 2 | 60 | 6.06 |
| Esteban W. Gonzalez Clua | 3 | 279 | 53.69 |
| Anselmo Montenegro | 4 | 116 | 15.18 |
| Regina Leal-Toledo | 5 | 53 | 6.23 |
| Aura Conci | 6 | 222 | 32.26 |
| Paulo Pagliosa | 7 | 32 | 3.57 |
| Luis Valente | 8 | 73 | 7.79 |
| Bruno Feijó | 9 | 200 | 29.85 |