Guys, anybody with Nvidia here? Care to post your results? Seems impossible to get a honest benchmark from another camp..
Ubuntu x64
GTX 570 around 960+ c/m
GTX 560Ti around 660+ c/m
How are you getting 960+ c/m out of the GTX 570? I have several GTX 570 HD cards and the fastest one only gets about 916 c/m. Most of the others are in the low 800 c/m range. See below for some sample output lines from the latest 1GH miner:
Tue Jan 21 03:42:55 2014 Worker 0-1 cpm 829.231483 hpm 243.998705 queue in/out 8/0 A/R/T 886/37/0 -> RPC result: Accepted
Tue Jan 21 03:42:56 2014 Worker 0-2 cpm 916.689950 hpm 267.335571 queue in/out 8/0 A/R/T 1003/33/0 -> RPC result: Accepted
Here's the device query detail for the cards that seem identical:
Device 1: "GeForce GTX 570"
CUDA Driver Version / Runtime Version 5.5 / 5.5
CUDA Capability Major/Minor version number: 2.0
Total amount of global memory: 1280 MBytes (1341849600 bytes)
(15) Multiprocessors, ( 32) CUDA Cores/MP: 480 CUDA Cores
GPU Clock rate: 1464 MHz (1.46 GHz)
Memory Clock rate: 1900 Mhz
Memory Bus Width: 320-bit
L2 Cache Size: 655360 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65535), 3D=(2048, 2048, 2048)
Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 32768
Warp size: 32
Maximum number of threads per multiprocessor: 1536
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (65535, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 1 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device PCI Bus ID / PCI location ID: 2 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
Device 2: "GeForce GTX 570"
CUDA Driver Version / Runtime Version 5.5 / 5.5
CUDA Capability Major/Minor version number: 2.0
Total amount of global memory: 1280 MBytes (1341849600 bytes)
(15) Multiprocessors, ( 32) CUDA Cores/MP: 480 CUDA Cores
GPU Clock rate: 1464 MHz (1.46 GHz)
Memory Clock rate: 1900 Mhz
Memory Bus Width: 320-bit
L2 Cache Size: 655360 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65535), 3D=(2048, 2048, 2048)
Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 32768
Warp size: 32
Maximum number of threads per multiprocessor: 1536
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (65535, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 1 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device PCI Bus ID / PCI location ID: 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
Since most of these cards run in the low 800 c/m range it seems I'm losing about 15% performance somewhere. I have tried many options like running the system with just a single GPU or disabling multiple cores in case of interrupt problems.
Can you share any details of how you're obtaining the higher performance or help me to troubleshoot my setup?
Thank you!