Task 8607954559

Name blc43_2bit_guppi_58838_18666_TIC427348923_0077.15392.0.20.29.221_0
Workunit 3913353423
Created 3 Mar 2020, 1:24:59 UTC
Sent 3 Mar 2020, 1:25:27 UTC
Report deadline 1 Jun 2020, 7:38:23 UTC
Received 4 Mar 2020, 12:13:27 UTC
Server state Over
Outcome Success
Client state Done
Exit status 0 (0x00000000)
Computer ID 8943904
Run time 5 min 35 sec
CPU time 5 min 18 sec
Validate state Valid
Credit 63.72
Device peak FLOPS 626.77 GFLOPS
Application version SETI@home v8 v8.22 (opencl_nvidia_SoG)
windows_intelx86
Peak working set size 105.35 MB
Peak swap size 132.73 MB
Peak disk usage 0.03 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
Running on device number: 0
Priority of worker thread raised successfully
Priority of process adjusted successfully, below normal priority class used
OpenCL platform detected: NVIDIA Corporation
BOINC assigns device 0
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) Core(TM) i7-5930K CPU @ 3.50GHz 

     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=0.149903  NumCfft=150713  NumGauss=893369784  NumPulse=164815575120  NumTriplet=329691807920
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:				 1


 OpenCL Platform Name:					 NVIDIA CUDA
Number of devices:				 1
  Max compute units:				 13
  Max work group size:				 1024
  Max clock frequency:				 1253Mhz
  Max memory allocation:			 1073741824
  Cache type:					 Read/Write
  Cache line size:				 128
  Cache size:					 638976
  Global memory size:				 4294967296
  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 970
  Vendor:					 NVIDIA Corporation
  Driver version:				 442.19
  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_d3d10_sharing cl_khr_d3d10_sharing cl_nv_d3d11_sharing cl_nv_copy_opts cl_nv_create_buffer cl_khr_int64_base_atomics cl_khr_int64_extended_atomics


Work Unit Info:
...............
Credit multiplier is :  2.85
WU true angle range is :  0.149903
Used GPU device parameters are:
	Number of compute units: 13
	Single buffer allocation size: 128MB
	Total device global memory: 4096MB
	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

Best spike: peak=23.58923, time=28.63, d_freq=10640228949.1, chirp=-16.424, fft_len=128k
Best autocorr: peak=17.60529, time=40.09, delay=5.5223, d_freq=10640225513.1, chirp=26.351, fft_len=128k
Best gaussian: peak=2.975718, mean=0.509638, ChiSq=1.369984, time=80.89, d_freq=10640220416.7,
	score=-0.8569336, null_hyp=2.237188, chirp=50.974, fft_len=16k
Best pulse: peak=1.5914, time=85.68, period=0.3197, d_freq=10640228855.9, score=0.9651, chirp=-17.526, fft_len=64 
Best triplet: peak=0, time=-2.124e+011, period=0, d_freq=0, chirp=0, fft_len=0 
Spike count:    0
Autocorr count: 0
Pulse count:    0
Triplet count:  0
Gaussian count: 0
Wallclock time elapsed since last restart: 326.2 seconds
Fftlength=8,pass=3:Tune: sum=4269.71(ms); min=4.936(ms); max=44.34(ms); mean=25.57(ms); s_mean=29.03; sleep=30(ms); delta=223; N=167; usual
Fftlength=8,pass=4:Tune: sum=2786.65(ms); min=2.455(ms); max=30.84(ms); mean=18.21(ms); s_mean=21.5; sleep=15(ms); delta=216; N=153; usual
Fftlength=8,pass=5:Tune: sum=2131.69(ms); min=2.747(ms); max=24.46(ms); mean=16.4(ms); s_mean=17.6; sleep=15(ms); delta=209; N=130; usual
Fftlength=16,pass=3:Tune: sum=2980.83(ms); min=2.104(ms); max=28.79(ms); mean=15.21(ms); s_mean=23.67; sleep=15(ms); delta=243; N=196; usual
Fftlength=16,pass=4:Tune: sum=2046.93(ms); min=2.292(ms); max=20.89(ms); mean=11.97(ms); s_mean=16.22; sleep=15(ms); delta=234; N=171; usual
Fftlength=16,pass=5:Tune: sum=1458.65(ms); min=1.587(ms); max=16.61(ms); mean=10.06(ms); s_mean=11.29; sleep=0(ms); delta=224; N=145; usual
Fftlength=32,pass=3:Tune: sum=2388.03(ms); min=0.8094(ms); max=24.24(ms); mean=11.59(ms); s_mean=20.07; sleep=15(ms); delta=253; N=206; usual
Fftlength=32,pass=4:Tune: sum=1652.29(ms); min=0.6114(ms); max=17.1(ms); mean=8.696(ms); s_mean=13.7; sleep=15(ms); delta=241; N=190; usual
Fftlength=32,pass=5:Tune: sum=1216.23(ms); min=0.6934(ms); max=13.67(ms); mean=6.871(ms); s_mean=9.94; sleep=0(ms); delta=228; N=177; usual
Fftlength=64,pass=3:Tune: sum=2306.72(ms); min=0.4695(ms); max=23.2(ms); mean=9.733(ms); s_mean=13.64; sleep=15(ms); delta=262; N=237; usual
Fftlength=64,pass=4:Tune: sum=1647.55(ms); min=0.2962(ms); max=17.44(ms); mean=7.29(ms); s_mean=9.723; sleep=0(ms); delta=251; N=226; usual
Fftlength=64,pass=5:Tune: sum=1211.73(ms); min=0.3663(ms); max=14.53(ms); mean=5.689(ms); s_mean=7.385; sleep=0(ms); delta=238; N=213; usual
Fftlength=128,pass=3:Tune: sum=4914.18(ms); min=0.2363(ms); max=41.04(ms); mean=18.83(ms); s_mean=40.56; sleep=30(ms); delta=273; N=261; high_perf
Fftlength=128,pass=4:Tune: sum=741.965(ms); min=0.1728(ms); max=13.01(ms); mean=4.849(ms); s_mean=11.62; sleep=0(ms); delta=262; N=153; usual
Fftlength=128,pass=5:Tune: sum=572.932(ms); min=0.1807(ms); max=10.28(ms); mean=4.035(ms); s_mean=9.766; sleep=0(ms); delta=251; N=142; usual
Fftlength=256,pass=3:Tune: sum=6387.23(ms); min=8.622(ms); max=20.71(ms); mean=20.02(ms); s_mean=20.16; sleep=15(ms); delta=1; N=319; high_perf
Fftlength=512,pass=3:Tune: sum=5980.27(ms); min=4.129(ms); max=9.629(ms); mean=9.359(ms); s_mean=9.383; sleep=0(ms); delta=1; N=639; high_perf
Fftlength=1024,pass=3:Tune: sum=2454.34(ms); min=1.907(ms); max=2.187(ms); mean=1.919(ms); s_mean=1.917; sleep=0(ms); delta=1; N=1279; usual
Fftlength=2048,pass=3:Tune: sum=1600.34(ms); min=0.5996(ms); max=0.8671(ms); mean=0.6259(ms); s_mean=0.6231; sleep=0(ms); delta=1; N=2557; usual
Fftlength=4096,pass=3:Tune: sum=1408.98(ms); min=0.2703(ms); max=0.3269(ms); mean=0.2756(ms); s_mean=0.2756; sleep=0(ms); delta=1; N=5113; 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=14,	N=14,	<>=1,	min=1	max=1
class Gaussian_report:		total=0,	N=0,	<>=0,	min=0	max=0
class Gaussian_miss:		total=0,	N=0,	<>=0,	min=0	max=0


class PC_triplet_find_hit:		total=20332,	N=20332,	<>=1,	min=1	max=1
class PC_triplet_find_miss:		total=95,	N=95,	<>=1,	min=1	max=1


class PC_pulse_find_hit:		total=10205,	N=10205,	<>=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=3,	N=3,	<>=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=20327,	N=20327,	<>=1,	min=1	max=1
class PoT_transfer_needed:		total=101,	N=101,	<>=1,	min=1	max=1

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

GPU device sync requested...  ...GPU device synched
07:09:26 (8028): called boinc_finish(0)

</stderr_txt>
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©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.