Established by NVIDIA Corporation, NVIDIA U is a conference developed to promote the advancement of graphics technology through industry and academic collaboration.  NVIDIA U 2004 will be a highly focused, one day event.  Conveniently held in Los Angeles one day before GP2 and two days prior to Siggraph 2004, it is sure to sizzle with presentations targeting current and future NVIDIA technology. NVIDIA U is an NDA only conference that provides the ideal forum for leaders in the graphics world to collaborate and share ideas and research in graphics technology. (NVIDIA U Information Page)

This paper by Larsen et al. at Technical University of Denmark introduces a fast GPU accelerated technique for simulating photon mapping. Each of the steps in the photon mapping algorithm are executed either on the CPU or the GPU depending on which of the processors are most appropriate for the task. The indirect illumination is calculated using a new GPU accelerated final gathering method. Caustic photons are traced on the CPU and then drawn using points in the framebuffer, and finally filtered using the GPU. Both diffuse and non-diffuse surfaces are handled by calculating the direct illumination on the GPU and the photon tracing on the CPU. (Simulating Photon Mapping for Real-time Applcations. Bent D. Larsen, Niels J. Christensen, To appear at Eurographics Symposium on Rendering, 2004.)

This paper by Govindaraju et al. describes new algorithms for performing fast computation of several common database operations on commodity graphics processors. Specifically, the paper considers operations such as conjunctive selections, aggregations, and semi-linear queries, which are essential computational components of typical database, data warehousing, and data mining applications. The proposed algorithms take into account some of the limitations of the programming model of current GPUs and perform no data rearrangements. These algorithms have been implemented on a programmable GPU (e.g. NVIDIA's GeForce FX 5900) and applied to databases consisting of up to a million records. The paper compares their performance with an optimized CPU-based implementation. The experiments indicate that the graphics processor available on commodity computer systems is an effective coprocessor for performing database operations. (Fast Database Operations using Graphics Processors. Naga K. Govindaraju, Brandon Lloyd, Wei Wang, Ming C. Lin, Dinesh Manocha to appear at SIGMOD 2004.)