CONDOR

CONDOR

CONDOR is an open-source high-throughput computing software framework for distributed computing. It allows users to harness idle computing power from personal computers and servers to process data-intensive jobs.
Ai Tools & Services Distributed Computing
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highthroughput opensource distributed computing framework
CONDOR alternatives ➤

Condor: Open-Source High-Throughput Computing Framework

CONDOR is an open-source high-throughput computing software framework for distributed computing, harnessing idle power from personal computers and servers to process data-intensive jobs.

What is CONDOR?

CONDOR is an open-source high-throughput computing software application framework for coarse-grained distributed parallelization of computationally intensive tasks over computers of varied computational resources, including personal computers. It targets computations that consist of a large number of independent tasks, where the resource requirements of each task are relatively small compared to the available computing resources.

The CONDOR software was originally developed at the University of Wisconsin-Madison in the late 1980s to allow researchers to make use of idle desktop computers throughout the campus. Over the years, CONDOR's development has been driven by the needs of its user community and it is now used in many organizations to enable distributed high-throughput computing.

Some key features of CONDOR include job queueing mechanism, resource monitoring, resource management and scheduling policy components. These enable it to harness wasted CPU power from idle desktop workstations and dedicated clusters to create an aggregated computing resource. CONDOR provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. It allows the user to monitor and manage jobs and resources distributed across multiple platforms.

CONDOR Features

Features

  1. Distributed computing framework
  2. Leverages idle computing power
  3. Supports data-intensive jobs
  4. Fault-tolerant and scalable
  5. Supports various job types (batch, interactive, etc.)
  6. Scheduling and resource management
  7. Comprehensive monitoring and logging

Pricing

  • Open Source

Pros

Open-source and free to use

Efficient utilization of computing resources

Scalable and fault-tolerant

Supports a wide range of job types

Extensive community support and documentation

Cons

Complexity of setup and configuration

Limited support for modern job types (e.g., containerized workloads)

Potential performance issues for certain workloads

Requires dedicated infrastructure and maintenance

Official Links

Official Website
https://www.getcondor.com

The Best CONDOR Alternatives

Top Ai Tools & Services and Distributed Computing and other similar apps like CONDOR

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