AIR: Next-generation Graphics in the Cloud

该提案旨在建立一种在云中实现高性能3-D多视点游戏的方法，作为游戏行业根本性变革的基础，目前游戏行业由每个玩家本地的专用硬件主导。该方法使用了并行照明和动画订阅模型（Parallel Lighting and Animation Subscription Model），一种为大型计算机系统设计的多视点计算机图形架构，利用云数据中心和计算资源上的多用户图形计算。所提出的方法具有以恒定的硬件成本为多个并发用户实现图形计算数量级增长的潜力。PI打算围绕这项技术创建一家初创公司，该技术有可能颠覆当前的游戏解决方案。按照使用时间划分的许可计划旨在获得目前每周30万小时游戏玩家的市场份额。plasma有潜力将其他重要的图形应用程序迁移到云计算环境，包括实时交互式地图、电子设计、可视化和涉及多个用户和协作者的医学。这项工作与CMU计算机科学学院的奥林巴斯项目有关，旨在弥合研究和商业化。

The proposal seeks to establish a means to do high performance 3-D multiviepoint gaming in the cloud as a foundation for a fundamental change in the gaming industry now dominated by specialized hardware local to each gamer. The approach uses PLASM (Parallel Lighting and Animation Subscription Model), an architecture for multi-viewpoint computer graphics designed for large-scale computer systems, to exploit graphics computations across multiple users drawing on cloud data center and computational resources. The proposed method has the potential to achieve orders-of-magnitude increases in graphics computation at constant hardware cost for multiple concurrent users. The PI intends to create a startup company around this technology which has the potential to be disruptive to the current gaming solutions. The license by usage time suggested seeks to obtain a market share of the current 3B playing hours per week of gamers. PLASM has the potential to be enabling to the migration of other important graphics applications to the cloud computing environment including real time interactive maps, e-design, visualization and medicine involving multiple users and collaborators. The effort is linked with Project Olympus at CMU school of computer science aimed at bridging research and commercialization.