任务 35645467

用户名 18no10ab.1662.73681.15.49.207_1
任务单元 12442934
创建时间 25 Feb 2020, 7:29:26 UTC
发送时间 26 Feb 2020, 11:02:11 UTC
上报期限 30 Apr 2020, 13:01:19 UTC
接收时间 26 Feb 2020, 12:21:20 UTC
服务端状态 完成
结果 成功
客户端状态 已完成
退出状态 0 (0x00000000)
计算机 ID 89297
运行时间 6 分 26 秒
CPU 时间 6 分 22 秒
验证状态 有效结果
积分 108.39
设备最高FLOPS(每秒浮点运算次数) 1,391.68 GFLOPS
计算程序版本 SETI@home v8 v8.22 (opencl_nvidia_SoG)
windows_intelx86
Peak working set size 168.84 MB
Peak swap size 222.55 MB
Peak disk usage 0.03 MB

标准错误输出

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
Running on device number: 1
Priority of worker thread raised successfully
Priority of process adjusted successfully, below normal priority class used
OpenCL platform detected: NVIDIA Corporation
BOINC assigns device 1
Info: BOINC provided OpenCL device ID used

Build features: SETI8	Non-graphics	OpenCL	USE_OPENCL_NV	OCL_ZERO_COPY	SIGNALS_ON_GPU	OCL_CHIRP3	FFTW	USE_SSE3	x86	
     CPUID: Intel(R) Xeon(R) CPU E5-2697 v3 @ 2.60GHz 

     Cache: L1=64K L2=256K

CPU features: FPU TSC PAE CMPXCHG8B APIC SYSENTER MTRR CMOV/CCMP MMX FXSAVE/FXRSTOR SSE SSE2 HT SSE3 SSSE3 FMA3 SSE4.1 SSE4.2 AVX 
OpenCL-kernels filename : MultiBeam_Kernels_r3584.cl 
ar=0.277280  NumCfft=250767  NumGauss=1705240872  NumPulse=226394405957  NumTriplet=452788641075
Currently allocated 229 MB for GPU buffers
In v_BaseLineSmooth: NumDataPoints=1048576, BoxCarLength=8192, NumPointsInChunk=32768

Windows optimized setiathome_v8 application
Based on Intel, Core 2-optimized v8-nographics V5.13 by Alex Kan
SSE3xj Win32 Build 3584 , Ported by : Raistmer, JDWhale

SETI8 update by Raistmer

OpenCL version by Raistmer, r3584

Number of OpenCL platforms:				 2


 OpenCL Platform Name:					 NVIDIA CUDA
Number of devices:				 2
  Max compute units:				 28
  Max work group size:				 1024
  Max clock frequency:				 1582Mhz
  Max memory allocation:			 2952790016
  Cache type:					 Read/Write
  Cache line size:				 128
  Cache size:					 458752
  Global memory size:				 11811160064
  Constant buffer size:				 65536
  Max number of constant args:			 9
  Local memory type:				 Scratchpad
  Local memory size:				 49152
  Queue properties:				 
    Out-of-Order:				 Yes
  Name:						 GeForce GTX 1080 Ti
  Vendor:					 NVIDIA Corporation
  Driver version:				 419.67
  Version:					 OpenCL 1.2 CUDA
  Extensions:					 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_d3d9_sharing cl_nv_d3d10_sharing cl_khr_d3d10_sharing cl_nv_d3d11_sharing cl_nv_copy_opts cl_nv_create_buffer
  Max compute units:				 20
  Max work group size:				 1024
  Max clock frequency:				 1809Mhz
  Max memory allocation:			 2147483648
  Cache type:					 Read/Write
  Cache line size:				 128
  Cache size:					 327680
  Global memory size:				 8589934592
  Constant buffer size:				 65536
  Max number of constant args:			 9
  Local memory type:				 Scratchpad
  Local memory size:				 49152
  Queue properties:				 
    Out-of-Order:				 Yes
  Name:						 GeForce GTX 1080
  Vendor:					 NVIDIA Corporation
  Driver version:				 419.67
  Version:					 OpenCL 1.2 CUDA
  Extensions:					 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_d3d9_sharing cl_nv_d3d10_sharing cl_khr_d3d10_sharing cl_nv_d3d11_sharing cl_nv_copy_opts cl_nv_create_buffer


 OpenCL Platform Name:					 AMD Accelerated Parallel Processing
Number of devices:				 0


Work Unit Info:
...............
Credit multiplier is :  2.85
WU true angle range is :  0.277280
Used GPU device parameters are:
	Number of compute units: 20
	Single buffer allocation size: 128MB
	Total device global memory: 8192MB
	max WG size: 1024
	local mem type: Real
	FERMI path used: yes
	LotOfMem path: yes
	LowPerformanceGPU path: no
	HighPerformanceGPU path: no
period_iterations_num=50
Autocorr: peak=18.44929, time=87.24, delay=4.3149, d_freq=1419521647.42, chirp=1.8689, fft_len=128k
Spike: peak=24.48808, time=50.33, d_freq=1419525516.15, chirp=1.3051, fft_len=64k
Spike: peak=25.43167, time=50.33, d_freq=1419525516.15, chirp=1.3198, fft_len=64k
Spike: peak=25.13294, time=50.33, d_freq=1419525516.15, chirp=1.3346, fft_len=64k
Autocorr: peak=18.06888, time=73.82, delay=5.0141, d_freq=1419520021.01, chirp=-19.824, fft_len=128k
Spike: peak=24.44319, time=97.31, d_freq=1419522139.95, chirp=-18.818, fft_len=64k
Gaussian: peak=2.855549, mean=0.5029802, ChiSq=1.376046, time=72.98, d_freq=1419516761.47,
	score=0.727621, null_hyp=2.291102, chirp=-54.146, fft_len=16k
Gaussian: peak=2.254168, mean=0.4735215, ChiSq=1.411937, time=46.14, d_freq=1419523037.09,
	score=0.2373701, null_hyp=2.287199, chirp=-57.541, fft_len=16k
Triplet: peak=10.15343, time=9.493, period=3.441, d_freq=1419517346.04, chirp=-66.241, fft_len=64 
Gaussian: peak=2.88104, mean=0.52608, ChiSq=1.402102, time=9.227, d_freq=1419520060.77,
	score=0.2776216, null_hyp=2.283216, chirp=68.832, fft_len=16k

Best spike: peak=25.43167, time=50.33, d_freq=1419525516.15, chirp=1.3198, fft_len=64k
Best autocorr: peak=18.44929, time=87.24, delay=4.3149, d_freq=1419521647.42, chirp=1.8689, fft_len=128k
Best gaussian: peak=2.724775, mean=0.4949005, ChiSq=1.318206, time=81.37, d_freq=1419518081.54,
	score=0.967411, null_hyp=2.270234, chirp=26.231, fft_len=16k
Best pulse: peak=6.590578, time=9.683, period=3.264, d_freq=1419516867.6, score=0.9917, chirp=90.508, fft_len=64 
Best triplet: peak=10.15343, time=9.493, period=3.441, d_freq=1419517346.04, chirp=-66.241, fft_len=64 
Spike count:    4
Autocorr count: 2
Pulse count:    0
Triplet count:  1
Gaussian count: 3
Wallclock time elapsed since last restart: 381.3 seconds
Fftlength=8,pass=3:Tune: sum=15181(ms); min=3.016(ms); max=67.87(ms); mean=45.32(ms); s_mean=51.44; sleep=45(ms); delta=288; N=335; usual
Fftlength=8,pass=4:Tune: sum=9786.61(ms); min=2.948(ms); max=59.15(ms); mean=32.62(ms); s_mean=48.65; sleep=45(ms); delta=366; N=300; usual
Fftlength=8,pass=5:Tune: sum=7177.5(ms); min=3.546(ms); max=46.72(ms); mean=26.2(ms); s_mean=31.62; sleep=30(ms); delta=353; N=274; usual
Fftlength=16,pass=3:Tune: sum=8882.88(ms); min=2.542(ms); max=51.18(ms); mean=24.74(ms); s_mean=42.73; sleep=45(ms); delta=406; N=359; usual
Fftlength=16,pass=4:Tune: sum=5747.8(ms); min=2.321(ms); max=33.33(ms); mean=17.69(ms); s_mean=26.94; sleep=15(ms); delta=388; N=325; usual
Fftlength=16,pass=5:Tune: sum=4214.87(ms); min=1.241(ms); max=26.54(ms); mean=14.34(ms); s_mean=18.56; sleep=15(ms); delta=373; N=294; usual
Fftlength=32,pass=3:Tune: sum=4798.21(ms); min=0.9976(ms); max=28.16(ms); mean= 13(ms); s_mean=18.8; sleep=15(ms); delta=416; N=369; usual
Fftlength=32,pass=4:Tune: sum=3153.16(ms); min=0.7027(ms); max=20.09(ms); mean=9.329(ms); s_mean=12.41; sleep=15(ms); delta=401; N=338; usual
Fftlength=32,pass=5:Tune: sum=2318.7(ms); min=0.7752(ms); max=15.64(ms); mean=7.504(ms); s_mean=8.736; sleep=0(ms); delta=388; N=309; usual
Fftlength=64,pass=3:Tune: sum=3770.12(ms); min=0.5144(ms); max=23.89(ms); mean=9.195(ms); s_mean=11.36; sleep=0(ms); delta=449; N=410; usual
Fftlength=64,pass=4:Tune: sum=2630.96(ms); min=0.3873(ms); max=18.06(ms); mean=6.661(ms); s_mean=7.975; sleep=0(ms); delta=434; N=395; usual
Fftlength=64,pass=5:Tune: sum=2018.19(ms); min=0.3348(ms); max=14.2(ms); mean=5.499(ms); s_mean=13.84; sleep=15(ms); delta=406; N=367; usual
Fftlength=128,pass=3:Tune: sum=8459.15(ms); min=0.2245(ms); max=33.94(ms); mean=19.01(ms); s_mean=33.55; sleep=30(ms); delta=464; N=445; high_perf
Fftlength=128,pass=4:Tune: sum=837.277(ms); min=0.1884(ms); max=10.94(ms); mean=3.987(ms); s_mean=10.07; sleep=0(ms); delta=448; N=210; usual
Fftlength=128,pass=5:Tune: sum=636.024(ms); min=0.1833(ms); max=8.424(ms); mean=3.278(ms); s_mean=8.191; sleep=0(ms); delta=432; N=194; usual
Fftlength=256,pass=3:Tune: sum=9725.64(ms); min=6.935(ms); max=16.41(ms); mean=15.97(ms); s_mean=15.99; sleep=15(ms); delta=1; N=609; high_perf
Fftlength=512,pass=3:Tune: sum=9341.63(ms); min=3.422(ms); max=7.962(ms); mean=7.663(ms); s_mean=7.766; sleep=0(ms); delta=1; N=1219; high_perf
Fftlength=1024,pass=3:Tune: sum=8481.35(ms); min=1.595(ms); max=3.59(ms); mean=3.477(ms); s_mean=3.469; sleep=0(ms); delta=1; N=2439; high_perf
Fftlength=2048,pass=3:Tune: sum=3665.86(ms); min=0.7301(ms); max=0.7733(ms); mean=0.7514(ms); s_mean=0.7526; sleep=0(ms); delta=1; N=4879; usual
Fftlength=4096,pass=3:Tune: sum=2451.13(ms); min=0.2468(ms); max=0.2593(ms); mean=0.2512(ms); s_mean=0.2515; sleep=0(ms); delta=1; N=9759; usual

class Gaussian_transfer_not_needed:		total=0,	N=0,	<>=0,	min=0	max=0
class Gaussian_transfer_needed:		total=0,	N=0,	<>=0,	min=0	max=0


class Gaussian_skip1_no_peak:		total=0,	N=0,	<>=0,	min=0	max=0
class Gaussian_skip2_bad_group_peak:		total=0,	N=0,	<>=0,	min=0	max=0
class Gaussian_skip3_too_weak_peak:		total=0,	N=0,	<>=0,	min=0	max=0
class Gaussian_skip4_too_big_ChiSq:		total=0,	N=0,	<>=0,	min=0	max=0
class Gaussian_skip6_low_power:		total=0,	N=0,	<>=0,	min=0	max=0


class Gaussian_new_best:		total=18,	N=18,	<>=1,	min=1	max=1
class Gaussian_report:		total=3,	N=3,	<>=1,	min=1	max=1
class Gaussian_miss:		total=0,	N=0,	<>=0,	min=0	max=0


class PC_triplet_find_hit:		total=38512,	N=38512,	<>=1,	min=1	max=1
class PC_triplet_find_miss:		total=483,	N=483,	<>=1,	min=1	max=1


class PC_pulse_find_hit:		total=19491,	N=19491,	<>=1,	min=1	max=1
class PC_pulse_find_miss:		total=6,	N=6,	<>=1,	min=1	max=1
class PC_pulse_find_early_miss:		total=5,	N=5,	<>=1,	min=1	max=1
class PC_pulse_find_2CPU:		total=1,	N=1,	<>=1,	min=1	max=1


class PoT_transfer_not_needed:		total=38508,	N=38508,	<>=1,	min=1	max=1
class PoT_transfer_needed:		total=488,	N=488,	<>=1,	min=1	max=1

class SleepQuantum:		total=0,	N=0,	<>=0,	min=0	max=0

GPU device sync requested...  ...GPU device synched
04:21:05 (16056): called boinc_finish(0)

</stderr_txt>
]]>



 
©2020 University of California
 
SETI@home and Astropulse are funded by grants from the National Science Foundation, NASA, and donations from SETI@home volunteers. AstroPulse is funded in part by the NSF through grant AST-0307956.