LPGPU

Low-Power Parallel Computing on GPUs

 Partecipanti

Mappa

 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

 Obiettivo del progetto (Objective)

Massively parallel GPUs are now being used in a great variety of market segments, ranging from video-games,nto user interfaces, and to HPC. There are several signs, however, that computer and consumer technologynindustries are faced with major challenges in delivering improved performance and innovation for futurenentertainment devices. First, game developers have argued that while GPUs are increasing in performance, thisnis not leading to visual quality improvements because GPUs fundamentally restrict their flexibility. Second, therenare signs that GPUs are approaching a 'power wall', and architecture innovation is required now to circumventnthis wall. Third, there is a lack of GPU tools available to compare multi-core processors (CPUs) to GPUs and tonperform GPU program transformations to optimize for performance and power. To address these challenges, thisnproject brings together commercial tools, applications and GPU designers, with academic researchers to analyzenreal-world mass-market software on comparable graphics processor architectures. The project results willnhelp the design of next-generation GPUs, games consoles, and mobile phones, and help software developersnproduce graphically innovative software in the future.nEuropean companies lead in the design of mobile phone CPUs and GPUs, and are world leaders in video-gamesntechnology. These companies need to make large investments in R&D for graphics, for which it is vital that theynhave reliable information.nThe main market areas for increased processor performance over the next few years are graphics andnvideo-games. Therefore, the companies in the consortium are world leaders in real-time lighting for computerngraphics (Geomerics), video game AI (AIGameDev.com), power-efficient GPU design (Think Silicon) and GPUntools (Codeplay), and the universities in the consortium are leading experts on low-power computer architecturen(Uppsala) and parallel applications and multi-core architectures (TUB).nThe project seeks to achieve: power and bandwidth reductions of 2x or more on real-world software onnnext-generation GPUs, as well as GPU architecture designs that are capable of advanced real-time graphicsntechniques (such as radiosity and game AI) at power levels suitable for battery-powered devices.