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I am looking for obtaining number of cycles of accessing memory type in CUDA. I want to analyze difference of memory types' and cache types' speed on GPU among the each specific architecture. Is there any source where I can find the number of clock cycles of accessing memory relating to its architecture or is there any method to measure them?
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Closed 27 days ago.
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I am running the Ethereum Swarm Bee node, the minimum stake is 10 BZZ, what happens if I stake more than 10 BZZ?
For now, I am staking a minimum amount needed, 10 BZZ.
10 BZZ is the minimum stake. Staking more supposedly increases your node's chance of being selected as the "truth" in a given round and/or actually winning the round in your neighbourhood.
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Closed 5 years ago.
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What do the following process states mean in AWS Aurora (MYSQL-Compatible)
delayed send ok done
delayed commit ok done
Noticing many sleeping processes with the above state. These seem to Aurora-specific.
Are these states any indicators of underlying performance issues with my queries or Tables?
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Closed 8 years ago.
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In our application we have FFT part. We would like to port that part onto GPU. We have Tesla K20m GPU. Which version of cuFFT is optimized for K20m card.
There is not a specific version of the cufft library that is optimized for a specific card. Just use the standard cufft library that ships with cuda 5.0 (or cuda 5.5 RC, if you like).
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I was wondering, what is the absolutely fastest way (lowest latency) to produce external signal (for example CMOS state change from 0 to 1 on electrical wire connected to other device etc.) from PC, counting from the moment, where CPU assembler program knows that signal must be produced.
I know that network device, usb, VGA monitor output have some large latency comapred to other interfaces (SATA, PCI-E). Wich of interfaces or what hardware modification can provide a near-0 latency in output from let's suppose assembler program?
I don't know if it is really the fastest interface you can provide, because that also depends on your definition of "external", but http://en.wikipedia.org/wiki/InfiniBand certainly comes close to what your question aims at. Latency is 200 nanoseconds and below in certain scenarios ...
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I am new to CUDA and going to buy a GPU that will be sufficient for my needs without spending much. I will be working on an application that will require graphics rendering as well as other general purpose computations.
What should be my primary consideration while buying ?
No. of SMs
No. of CUDA Cores
Core/Shader/Memory Clock
Memory Size
Memory Bus width
How do the above mentioned specifications affect CUDA performance?