![]() For example, for a naive implementation of the matrix multiplication algorithm, theoretically, the amount of data read for each matrix and used for calculations is:ĭ is a size of a matrix element, in Bytes ![]() If data is efficiently reused, it can stay in the L2 cache of a GPU where execution units can access it and fetch to an X e Vector Engine (XVE) register file.Īssuming the fastest way to access data on a system with high bandwidth and low latency is accessing data from registers, the cache-aware Roofline model (CARM) of the Intel Advisor treats it as the most effective access with true, or pure payload, amount of data consumed by an algorithm. On an integrated GPU, where DRAM is shared between CPU and GPU, global data can travel form system DRAM through last-level cache (LLC) to a graphics technology interface (GTI) on a GPU. Memory Path in Intel® GPU Microarchitectureĭepending on a GPU generation, the compute architecture of Intel® Processor Graphics uses a system memory as a compute device memory, which is unified by sharing the same DRAM with the CPU, or a dedicated VRAM resided on a discrete GPU card.
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