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NV5 Geospatial Blog

Each month, NV5 Geospatial posts new blog content across a variety of categories. Browse our latest posts below to learn about important geospatial information or use the search bar to find a specific topic or author. Stay informed of the latest blog posts, events, and technologies by joining our email list!



Not All Supernovae Are Created Equal: Rethinking the Universe’s Measuring Tools

Not All Supernovae Are Created Equal: Rethinking the Universe’s Measuring Tools

6/3/2025

Rethinking the Reliability of Type 1a Supernovae   How do astronomers measure the universe? It all starts with distance. From gauging the size of a galaxy to calculating how fast the universe is expanding, measuring cosmic distances is essential to understanding everything in the sky. For nearby stars, astronomers use... Read More >

Using LLMs To Research Remote Sensing Software: Helpful, but Incomplete

Using LLMs To Research Remote Sensing Software: Helpful, but Incomplete

5/26/2025

Whether you’re new to remote sensing or a seasoned expert, there is no doubt that large language models (LLMs) like OpenAI’s ChatGPT or Google’s Gemini can be incredibly useful in many aspects of research. From exploring the electromagnetic spectrum to creating object detection models using the latest deep learning... Read More >

From Image to Insight: How GEOINT Automation Is Changing the Speed of Decision-Making

From Image to Insight: How GEOINT Automation Is Changing the Speed of Decision-Making

4/28/2025

When every second counts, the ability to process geospatial data rapidly and accurately isn’t just helpful, it’s critical. Geospatial Intelligence (GEOINT) has always played a pivotal role in defense, security, and disaster response. But in high-tempo operations, traditional workflows are no longer fast enough. Analysts are... Read More >

Thermal Infrared Echoes: Illuminating the Last Gasp of a Dying Star

Thermal Infrared Echoes: Illuminating the Last Gasp of a Dying Star

4/24/2025

This blog was written by Eli Dwek, Emeritus, NASA Goddard Space Flight Center, Greenbelt, MD and Research Fellow, Center for Astrophysics, Harvard & Smithsonian, Cambridge, MA. It is the fifth blog in a series showcasing our IDL® Fellows program which supports passionate retired IDL users who may need support to continue their work... Read More >

A New Era of Hyperspectral Imaging with ENVI® and Wyvern’s Open Data Program

A New Era of Hyperspectral Imaging with ENVI® and Wyvern’s Open Data Program

2/25/2025

This blog was written in collaboration with Adam O’Connor from Wyvern.   As hyperspectral imaging (HSI) continues to grow in importance, access to high-quality satellite data is key to unlocking new insights in environmental monitoring, agriculture, forestry, mining, security, energy infrastructure management, and more.... Read More >

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Using IDL_IDLBridge to run multiple processes in parallel

Anonym

I noticed a question on the newsgroup about running multiple time consuming IDL commands in parallel processes. This is a topic that we in the Custom Solutions group come accross fairly frequently. Below is a simple example of how to manage a number of processes running at the same time.

Notice in the code, that it is often important to control the working directory as well as the search path for all of the bridge processes so that the bridge processes can find the necessary IDL code as well as any data needed.

pro multi_process
  compile_opt idl2, logical_predicate
 
  cd, current=dir
 
  n_proc = 10
 
  tlb = widget_base(title='Initializing',/column, xsize=500, ysize=500)
  t = widget_text(tlb, value='Initializing...')
  widget_control, tlb, /realize
 
 
  br = objarr(n_proc)
  for i=0, n_proc-1 do begin
    br[i] = IDL_IDLbridge()
    br[i]->SetVar,'dir',dir
    br[i]->Execute,'cd,dir'
    br[i]->SetVar,'!path',!path
    br[i]->Execute,'wait,50*randomu(seed)',/nowait
  endfor
 
  widget_control, tlb, /destroy
  tlb = widget_base(title='Processing progress',/column)
  t = widget_table(tlb, xsize=2, ysize=n_proc, value=strarr(2,n_proc), $
    column_labels=['Process #','Status'], column_width=[250,250])
  widget_control, tlb, /realize
 
  ; Monitor progress
  status = replicate(1, n_proc)
  table = strarr(2,n_proc)
  table[0,*] = strtrim(indgen(n_proc),2)
  codes = ['Idle','Executing','Completed','Error','Aborted']
  while max(status) gt 0 do begin
    wait, 1
    for i=0, n_proc-1 do begin
      status[i] = br[i]->Status()
    endfor
    table[1,*] = codes[status]
    widget_control, t, set_value=table
  endwhile
  widget_control, tlb, /destroy
end

This code example will display a simple GUI showing the status of the IDL processes.

This is a great approach if you want to speed up some time consuming IDL processes that can run individually on the same system. In more complex situations, you want to instead look into ENVI Services Engine as it provides much more functionality for configuring how "jobs" are being run, and also supports distributing jobs over multiple systems (nodes). Despite the word "ENVI" here, it also supports running pure IDL code.

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