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rpi3-susan-corners-gcc4-main-empty-opt

Added by: cTuning foundation
Date: 2017-07-13 16:55:54.340100
License: CC BY 4.0

Module: experiment
Repo: ck-rpi-optimization-results

CID (DOI-like distributed ID): bc0409fb61f0aa82:f9e6ec8d198c36c3

Tags: crowdtuning,tmp

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Select experiment view:

Dimensions

Raw JSON files

Host OS

Target OS

CPU name

CPU sub-name

Number of logical cores

Raw compiler name

Program UOA

CMD key

Dataset UOA

Dataset file

Calibration

Execution time (sec.)

Energy total (A15, joules)

Energy total (A7, joules)

Object size (bytes)

Binary size (bytes)

CPU freq (MHz)

GPU freq (MHz)

Algorithm accuracy

Faults

Compiler flags

Compiler vars

All

Features

Flat
features

Point UID

Reproduce

linux-32

BCM2709

ARMv7 Processor rev 4 (v7l)

gcc (Raspbian 4.9.2-10) 4.9.2

cbench-automotive-susan

corners

image-pgm-0001

data.pgm

100

11.694953 ± 0.0% (2)

None

54532

60560

1200.0

None

View

7cf654adb86fb606

linux-32

BCM2709

ARMv7 Processor rev 4 (v7l)

gcc (Raspbian 4.9.2-10) 4.9.2

cbench-automotive-susan

corners

image-pgm-0001

data.pgm

100

4.232559 ± 0.5% (2)

None

30524

36360

1200.0

None

-O3

View

ec1b4d00870827b6

Files:

ckp-7cf654adb86fb606.0001.json    (10KB)
ckp-7cf654adb86fb606.features.json    (9KB)
ckp-7cf654adb86fb606.features_flat.json    (1KB)
ckp-7cf654adb86fb606.flat.json    (100KB)
ckp-ec1b4d00870827b6.0001.json    (10KB)
ckp-ec1b4d00870827b6.features.json    (9KB)
ckp-ec1b4d00870827b6.features_flat.json    (1KB)
ckp-ec1b4d00870827b6.flat.json    (83KB)
desc.json    (158KB)
pipeline.json    (175KB)

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Cross-linking (dependencies):

Meta:

{
  "added": {
    "engine": "CK", 
    "iso_datetime": "2017-07-13T16:55:54.631550", 
    "version": [
      "1", 
      "9", 
      "1"
    ]
  }, 
  "meta": {
    "cmd_key": "corners", 
    "compiler": " 4.9.2", 
    "cpu_name": "BCM2709", 
    "dataset_file": "data.pgm", 
    "dataset_uoa": "image-pgm-0001", 
    "objective": "min", 
    "program_uoa": "cbench-automotive-susan", 
    "scenario_desc": "explore compiler flags", 
    "scenario_module_uoa": "343e18b9c5f1771c", 
    "subscenario_desc": "explore random program/cmd/data set"
  }, 
  "pipeline_uid": "b0ac08fe1d3c2615", 
  "pipeline_uoa": "b0ac08fe1d3c2615", 
  "points": "2", 
  "tags": [
    "crowdtuning", 
    "tmp"
  ]
}

API desc:

{}

[Download meta]

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