A data parallel approach to genetic programming using programmable graphics hardware
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Proceedings of the 48th Design Automation Conference
Unrolling and retiming of stream applications onto embedded multicore processors
Proceedings of the 49th Annual Design Automation Conference
Dynamic scheduling of stream programs on embedded multi-core processors
Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
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The previous chapter described how GPU architecture has changed as a result of computational and communications trends in microprocessing. This chapter describes the architecture of the GeForce 6 Series GPUs from NVIDIA, which owe their formidable computational power to their ability to take advantage of these trends. Most notably, we focus on the GeForce 6800 (NVIDIA's flagship GPU at the time of writing, shown in Figure 30-1), which delivers hundreds of gigaflops of single-precision floating-point computation, as compared to approximately 12 gigaflops for current high-end CPUs. In this chapter---and throughout the book---reference to GeForce 6 Series GPUs should be read to include the latest Quadro FX GPUs supporting Shader Model 3.0, which provide a superset of the functionality offered by the GeForce 6 Series. We start with a general overview of where the GPU fits into the overall computer system, and then we describe the architecture along with details of specific features and performance characteristics.