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populace    音标拼音: [p'ɑpjələs]
n. 平民,大众,人口

平民,大众,人口

populace
n 1: people in general considered as a whole; "he is a hero in
the eyes of the public" [synonym: {populace}, {public},
{world}]

Populace \Pop"u*lace\, n. [F. populace, fr. It. popolaccio,
popolazzo, fr. popolo people, L. populus. See {People}.]
The common people; the vulgar; the multitude, --
comprehending all persons not distinguished by rank, office,
education, or profession. --Pope.
[1913 Webster]

To . . . calm the peers and please the populace.
--Daniel.
[1913 Webster]

They . . . call us Britain's barbarous populaces.
--Tennyson.
[1913 Webster]

Syn: Mob; people; commonalty.
[1913 Webster]


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  • Getting Started with CUDA Graphs - NVIDIA Developer Forums
    When using the manual method to create a CUDA graph, you do this by explicitly specifying dependencies, and the graph will be built with as many parallel branches as possible given these dependencies When capturing a graph from CUDA streams, the parallelism will be the same as that of your original stream based code
  • CUDA-Graph inter-graph events - NVIDIA Developer Forums
    The CUDA event is declared outside of the first graph, but the graphs can use it (record and complete events) It is declared outside the first graph so that it is not “owned” by the graph and can be used from one graph to the next, as a signalling mechanism
  • Multi-stream graph - CUDA Programming and Performance - NVIDIA . . .
    Hello, I’m trying to create a CUDA Graph that involves multiple streams with dependencies Specifically: Stream 1 launches a sequence of kernels Other streams also execute kernels but must wait for each corresponding kernel in Stream 1 to complete before proceeding I can achieve this without CUDA Graphs, and with multiple graphs per stream, but I’m wondering if I can have just one graph
  • CUDA Graph capture - work on separated streams invalidates graph . . .
    Hi! In my C++ app (running on Orin AGX CUDA 12 6) I have a CUDA graph captured and created on a dedicated stream thread that works absolutely fine I want to make the capture process bulletproof so I created stress test that spawns some other unrelated CUDA work (kernel launches and memory operations) also on separated threads and streams
  • Cuda Graph - CUDA Programming and Performance - NVIDIA Developer Forums
    For example, if you are passing a pointer to data, and the pointer is the same, it should work fine even if the data pointed to is different That is a hint for graph design to minimize “extra” steps There are 5 or more cuda sample codes that demonstrate graph usage
  • Crash when using cuda graph - NVIDIA Developer Forums
    Hi, Thank you for your insightful response, Robert! We have conducted further tests on CUDA 11 8, and I’m pleased to report that all tests were executed without any issues I agree with your assessment regarding the code1 scenario; it indeed seems inconsequential and could potentially lead to undefined behavior due to the creation of a graph without any nodes Regarding code3, it appears
  • Constructing CUDA Graphs with Dynamic Parameters
    Originally published at: Constructing CUDA Graphs with Dynamic Parameters | NVIDIA Technical Blog Applying CUDA graphs to existing CUDA code is a great way to achieve performance on the latest NVIDIA GPUs, with dynamic parameters and minimal code changes
  • cudaGraphInstantiate () hangs with CUDA device graphs
    Hello experts For several months we’ve been experiencing an issue when using CUDA device graphs In order for everything to work correctly, we’re forced to create and instantiate all graphs before launching them This limitation is quite inconvenient — could you tell us if there’s a specific reason for it? Could it be related to the use of while() loops that make kernels “persistent
  • What will happen when I replay a cuda graph with two streams in a new . . .
    The CUDA runtime is readily able to create streams (and many other entities, such as host threads) for its own usage, if that were intended by the CUDA designers As already mentioned, I agree with the view that the behavior at the point of graph launch in this respect should be thought of as an implementation detail





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