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    • 12. 发明授权
    • Register based queuing for texture requests
    • 基于注册排队的纹理请求
    • US07456835B2
    • 2008-11-25
    • US11339937
    • 2006-01-25
    • John Erik LindholmJohn R. NickollsSimon S. MoyBrett W. Coon
    • John Erik LindholmJohn R. NickollsSimon S. MoyBrett W. Coon
    • G06T11/40G06T15/00G06T1/00G09G5/00
    • G06T11/60G09G5/363
    • A graphics processing unit can queue a large number of texture requests to balance out the variability of texture requests without the need for a large texture request buffer. A dedicated texture request buffer queues the relatively small texture commands and parameters. Additionally, for each queued texture command, an associated set of texture arguments, which are typically much larger than the texture command, are stored in a general purpose register. The texture unit retrieves texture commands from the texture request buffer and then fetches the associated texture arguments from the appropriate general purpose register. The texture arguments may be stored in the general purpose register designated as the destination of the final texture value computed by the texture unit. Because the destination register must be allocated for the final texture value as texture commands are queued, storing the texture arguments in this register does not consume any additional registers.
    • 图形处理单元可以排队大量纹理请求,以平衡纹理请求的可变性,而不需要大的纹理请求缓冲区。 专用纹理请求缓冲区排队相对较小的纹理命令和参数。 另外,对于每个排队的纹理命令,通常比纹理命令大得多的一组相关的纹理参数存储在通用寄存器中。 纹理单元从纹理请求缓冲区中检索纹理命令,然后从相应的通用寄存器获取相关的纹理参数。 纹理参数可以存储在指定为由纹理单元计算的最终纹理值的目的地的通用寄存器中。 因为当纹理命令排队时,必须为目标寄存器分配最终纹理值,所以将纹理参数存储在该寄存器中不消耗任何其他寄存器。
    • 18. 发明授权
    • System and method for processing thread groups in a SIMD architecture
    • 在SIMD架构中处理线程组的系统和方法
    • US07836276B2
    • 2010-11-16
    • US11292614
    • 2005-12-02
    • Brett W. CoonJohn Erik Lindholm
    • Brett W. CoonJohn Erik Lindholm
    • G06F9/30G06F9/38
    • G06F9/3885G06F9/3838G06F9/3851G06F9/3869G06F9/3887
    • A SIMD processor efficiently utilizes its hardware resources to achieve higher data processing throughput. The effective width of a SIMD processor is extended by clocking the instruction processing side of the SIMD processor at a fraction of the rate of the data processing side and by providing multiple execution pipelines, each with multiple data paths. As a result, higher data processing throughput is achieved while an instruction is fetched and issued once per clock. This configuration also allows a large group of threads to be clustered and executed together through the SIMD processor so that greater memory efficiency can be achieved for certain types of operations like texture memory accesses performed in connection with graphics processing.
    • SIMD处理器有效利用其硬件资源来实现更高的数据处理吞吐量。 SIMD处理器的有效宽度通过以数据处理侧的速率的一小部分计时SIMD处理器的指令处理侧,并且通过提供多个执行流水线(每个具有多个数据路径)来扩展。 因此,在每个时钟获取和发出一个指令的同时实现更高的数据处理吞吐量。 该配置还允许通过SIMD处理器将大组线程聚类并一起执行,使得可以针对某些类型的操作(如结合图形处理执行的纹理存储器访问)实现更高的存储器效率。