![]() ![]() Contrast this with plus as used above, which has a computational density of 1/2 FLOP/element. 3DMark is a benchmark app offered by Steam and dedicated to testing graphics cards with a variety of. table of render performance across commonly used NVIDIA GPUs with SOLIDWORKS Visualize. This gives a computational density of (2N - 1)/3 FLOP/element. Performance Tests & Benchmarks Antivirus Products SOLIDWORKS. Two input matrices are read and one resulting matrix is written, for a total of 3 N 2 elements read or written. For multiplying two N × N matrices, the total number of floating-point calculations is ![]() These operations are said to have high "computational density".Ī good test of computational performance is a matrix-matrix multiply. In this case the number and speed of the floating-point units is the limiting factor. Testing computationally intensive operationsįor operations where the number of floating-point computations performed per element read from or written to memory is high, the memory speed is much less important. Even better would be to create the data on the GPU to start with. Ideally, programs should transfer the data to the GPU, then do as much with it as possible while on the GPU, and bring it back to the host only when complete. ![]() It is therefore important to minimize the number of host-GPU or GPU-host memory transfers. Comparing this plot with the data-transfer plot above, it is clear that GPUs can typically read from and write to their memory much faster than they can get data from the host. ![]()
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