Sharif University parallel processing

Parallel Processing at Sharif University is a high-performance computing (HPC) system located at the Information and Communication Technology Center (ICTC) of Sharif University. This system includes over 1,000 computing nodes connected via a high-speed network.

Pricing for Parallel Processing Services at Sharif University

The pricing for Sharif University’s parallel processing services depends on factors such as processor type, memory capacity, usage time, and additional user requirements.

How to Order Parallel Processing at Sharif University

To order parallel processing services at Sharif University, follow these steps:

1. Visit the ICTC Website: First, register on the Sharif University ICTC website.

1. Access the HPC System: After registration, visit the university’s HPC portal to submit your request for parallel processing services.

1. Request Review: Once submitted, ICTC experts will review your request. Upon approval, credits will be added to your account in the HPC system.

1. Utilize the Services: With the credits, you can access the university’s high-performance computing resources. Install the HPC Manager software on your computer to connect to the system and execute your projects or research.

Benefits of Using Sharif University’s Computing Servers

Some computations are so complex that they cannot be processed using ordinary computers. Scientific and research institutions rely on supercomputers for simulating experiments and processing data. These machines consist of thousands of processing units capable of handling the most complex data. Common applications of parallel processing include:

- Quantum physics problems

- Weather forecasting

- Molecular modeling

- Aircraft simulation

- Nuclear weapons testing simulation

Supercomputers are essential for complex data simulation and processing.

☀️ Super Computer Center ✔️ Science and Industry ✔️ — Super Computer Center

Parallel Processing Services at Sharif University

Sharif University’s parallel processing services include the following offerings:

Efficient Virtual Machine

The Efficient Virtual Machine is a cloud-based service offered by Sharif University that provides users with a virtual machine with full administrative access. It is suitable for tasks like heavy data processing, software development, scientific calculations, and engineering simulations.

Applications:

- Heavy data processing

- Scientific and engineering computations

- Software development

- Simulations

- Artificial intelligence

- Machine learning

Features:

- Full Administrative Access: Users have complete control over the virtual machine, including operating system, software, and configuration changes.

- Operating System Choice: Users can choose from Windows, Linux, or Unix based on their needs.

- Software Installation: Users can install their software as needed.

- Remote Access: The virtual machine is accessible globally without geographical restrictions.

- Resource Customization: Users can customize processing cores, memory, and GPU type.

Terms and Conditions:

- Minimum booking duration: 3 days.

- Preparation time: 4–10 hours.

- Internet speed: 8 Mbps.

- Data availability: Up to 2 days after service termination.

- Service outages: Downtime will be compensated with equivalent service time.

Cluster-Based Parallel Processing Services

Sharif University provides an integrated cluster-based computing environment on a Linux platform. This service is ideal for users requiring cost-efficient and flexible processing resources.

Submission of Computational Tasks:

Users can create an account online via the portal and submit tasks to the cluster scheduler.
Tasks are executed in a “first-come, first-serve” manner. During peak times, tasks may queue.

Advantages:

Low Cost: These services are more affordable than alternative processing resource options.
Easy Access: Accounts can be created and managed online.
High Flexibility: Users can request resources tailored to their needs.

Data Services of Sharif University’s Parallel Processing Center

The parallel processing center offers a free repository of data for artificial intelligence research. These datasets include images, audio, text, and more, used in applications like machine learning, natural language processing, computer vision, and deep learning. Example uses include:

Facial recognition models
Machine translation
Object detection
Disease diagnosis

This service is a valuable resource for students, researchers, and faculty, supporting innovative AI research and development.

Sharif Collaborative Research Service (Colab)

The Sharif University Colab service is a powerful online parallel processing tool for applications like machine learning, image processing, and data analysis. It offers features such as:

Online Code Execution: Users can write and execute code online without software installation.
Processor and GPU Support: Enables fast execution of complex code using logical and graphical processors.
Integration with GitHub and Google Drive: Colab supports code import/export from these platforms.
Background Execution: Available in the Pro version, enabling tasks to run without user presence.

Versions:

Free Version: Limited access to resources, including processors, memory, storage, and GPUs.
Pro Version: Enhanced access to more extensive resources.

Pro Version Ordering:

To order the Pro version, create and activate an account in the Efficient Virtual Machine section. After logging in, select the desired Colab operating system and hardware. Access credentials will be provided once the setup is complete.

Click to see the supercomputer information table and request one based on your need!