Two-Day Summer School on Supercomputing for Modeling and Simulation
Supercomputing for Modeling and Simulation summer school poster

Quick Facts

  • Registration Deadline: 8 August 2026
  • Certificate: Awarded on full attendance and completion of practical activities
  • Lunch / Refreshments: Provided by CAID
  • Accommodation: Complimentary shared accommodation for confirmed outstation participants, subject to availability
  • Laptop: At least 8 GB RAM, with administrative access

Two-Day Summer School on Supercomputing for Modeling and Simulation

22–23 August 2026  |  Executive Hall, Namal University, Mianwali
Limited Seats – 30 Only
Register Now

Registration Fee

  • Professionals: PKR 40,000
  • Faculty Members: PKR 30,000
  • Students: PKR 5,000

Summer School Objective

This two-day summer school introduces the role of high-performance computing in scientific modeling and simulation, while providing practical knowledge of HPC architecture, software environments, parallel execution, and job-scheduling workflows. Participants will learn how supercomputing platforms support large-scale molecular, quantum, and engineering simulations.

The program combines expert-led lectures, demonstrations, and guided practical sessions using Linux, Slurm, GROMACS, Quantum ESPRESSO, and related scientific-computing tools. Participants will gain hands-on experience in preparing, submitting, monitoring, optimizing, and analyzing simulation workloads on the Namal Supercomputing Facility.

Learning Outcomes

Upon completion of the summer school, participants will be able to:

  • Explain the role of HPC in scientific modeling and simulation.
  • Navigate a Linux-based supercomputing environment and manage software modules.
  • Submit, monitor, and manage jobs using Slurm.
  • Prepare and execute introductory molecular-dynamics workflows with GROMACS.
  • Prepare and execute introductory quantum-simulation workflows with Quantum ESPRESSO.
  • Evaluate resource utilization for simulation workloads.
  • Process and analyze simulation outputs.
  • Apply basic MPI-based performance-optimization and scaling techniques.
Audience

Who Should Attend

The summer school is suitable for:

  • Undergraduate and graduate students
  • Researchers and academic faculty
  • Engineers and professionals in physics, chemistry, and materials science
  • Practitioners in biotechnology and mechanical engineering
  • Computational scientists and related disciplines
Entry Requirements

Prerequisites

Participants should have:

  • Basic familiarity with the Linux command line
  • Basic familiarity with scientific computing or numerical simulation

Prior experience with HPC, GROMACS, Quantum ESPRESSO, or Slurm is helpful but not mandatory.

Laptop Requirement Bring a laptop with at least 8 GB RAM and administrator access. Login credentials and software-installation instructions will be shared with confirmed participants before the summer school.
Technical Environment

Tools and Platforms

  • Namal Supercomputing Facility
  • Linux command-line environment
  • Slurm workload manager and Environment Modules
  • GROMACS
  • Quantum ESPRESSO
  • MPI and OpenMP
  • Scientific visualization and post-processing tools
Applied Learning

Practical Sessions

Guided practical activities will include:

  • Linux access and HPC software modules
  • Slurm job creation, submission, monitoring, and cancellation
  • GROMACS molecular-dynamics workflow
  • Quantum ESPRESSO input preparation and execution
  • MPI scaling and resource-utilization analysis
  • Simulation output processing and visualization

Two-Day Agenda & Session Topics

Day 1 – 22 August 2026

Opening Registration and Opening Remarks
Practical Linux, software modules, and Slurm job management
Review Close of Day 1

Day 2 – 23 August 2026

Practical GROMACS and Quantum ESPRESSO workloads
Practical MPI scaling and performance analysis
Review Result processing and visualization
Closing Certificate distribution and closing ceremony

Lead Trainer

Dr. Tassadaq Hussain Cheema

Director, Centre for AI & Big Data (CAID)

Expertise Computer architecture, processor-based systems, and parallel computing.

A computer architect and technology leader with more than 20 years of national and international experience spanning research, industrial systems, project leadership, and professional training.

Registration Process

  1. Submit the form Complete the online registration form with the required details.
  2. Verification Places are assigned first-come, first-served after form and payment verification.
  3. Confirmation Successful applicants are notified through email or WhatsApp.
Open Registration Form