The goal of this joint solicitation between NSF and Intel is to foster novel, transformative, multidisciplinary approaches that promote research in VEC technologies, taking into consideration the various challenges present in this field. New VEC technology is crucial to extracting information from complex visual and related data sets, combining this information with intuitive modes of human perception, and generating actionable information. VEC research will drive innovation and competition in many industrial sectors as well as enhance the quality of life for ordinary people.įast growing visual data has become a bottleneck in human decision processes in several emergent situations. VEC technology will transform the way people interact with visual information through, for example, the realization of new mobile and wearable devices and the emergence of autonomous machines and semantically aware spaces. Advances in Visual and Experiential Computing (VEC) will enable capability, adaptability, scalability, and usability that will far exceed the simple information systems of today. The advancement of sensing technology such as RGBD (Red Green Blue Depth), multi-camera and light field imaging systems, networks of sensors, advanced visual analytics and cloud computing will challenge the longstanding paradigms of capturing, creating, analyzing and utilizing visual information.
#Opencl benchmark ucsd pro#
The newer MacBook and MacBook Pro notebooks instead ship with a far more powerful NVIDIA GeForce 9400M G, and the 15" and 17" MacBook Pro notebooks ship with an additional GeForce 9600M supporting hybrid power to switch between GPUs.A data-intensive effort: Resource Implementations for Data Intensive Research in the Social Behavioral and Economic Sciences (RIDIR)įull Proposal Deadline Date: February 23, 2015Īs part of NSF’s Cyberinfrastructure Framework for 21 st Century Science and Engineering (CIF21) activity, the Directorate for Social, Behavioral and Economic Sciences (SBE) seeks to develop user-friendly large-scale next-generation data resources and relevant analytic techniques to advance fundamental research in SBE areas of study. The 32-bit kernel is loaded in tandem with the 64-bit version.
#Opencl benchmark ucsd mac os x#
This means that although the MacBooks with the X3100 have 64-bit capable processors, Mac OS X must load the 32-bit kernel to support the 32-bit X3100 drivers.
#Opencl benchmark ucsd drivers#
Mac OS X 10.6 (Snow Leopard), which includes a new 64-bit kernel in addition to the 32-bit one, has not yet included any 64-bit X3100 drivers (as of beta build 10A394).
However, special modifications to the kext file must be made to enable Core Image and Quartz Extreme.Īlthough the new MacBook line no longer uses the X3100, Mac OS X 10.5 (Leopard) ships with drivers supporting it that require no modifications to the kext file. Late-release versions of Mac OS X 10.4 also support the GMA 900 due to its use in the Apple Developer Transition Kit, which was used in the PowerPC-to-Intel transition. Mac OS X 10.5 Leopard contains drivers for the GMA X3100, which were used in a recent revision of the MacBook range. It has been used in all Intel-based Mac minis (until Mac Mini released on March 3, 2009). Mac OS X 10.4 supports the GMA 950, since it was used in previous revisions of the MacBook and 17-inch iMacs.
0 kommentar(er)
