High Performance Computing Cluster (HPC)
Madhava Cluster
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This state-of-the-art facility is equipped to support work in areas such as materials design, drug discovery, protein folding, climate modeling, big data analytics, and the advancement of fundamental science and engineering. It is accessible to researchers and students from departments including Physics, Chemistry, Mechanical Engineering, Electrical Engineering, and Civil Engineering, enabling cutting-edge interdisciplinary work.
The facility is named in honor of Madhava of Sangamagrama, the renowned 14th-century mathematician from Kerala, who made pioneering contributions to mathematical analysis, including the early development of infinite series expansions. The name recognizes his enduring legacy in the history of computation and mathematics.
Chandra High Performance Computing Cluster (HPC)
The Chandra High performance computing cluster (HPC) provides a powerful computing platform for research in engineering and physical sciences. This system has been operational since June 2017. The HPC consists of 64 compute nodes, each with a dual 12-core Intel processor. Each core runs at 2.2 GHz and has 4 GB of RAM per core. The HPC is one of the first systems in India to use a 100 Gbps high-speed OmniPath interconnect from Intel. The system provides about 54 TFlops of computing power. Chandra also accesses 100 TB of disk space setup as a parallel file system running Lustre from Intel.
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The HPC is used by faculty, research staff and students at IIT Palakkad to investigate complex research problems in science and engineering.
- Understanding and designing materials with novel physical properties by performing atomistic quantum mechanical simulations.
- Design of nanoscale transistors for next generation electronic applications.
- Design of novel bio-molecules with applications in medicine.
- Design of large structures such as bridges and buildings.
- Performing computational fluid dynamic simulations
- Understanding the process of heat transfer in complex systems such as engines.
- Solving non-equilibrium dynamics in quantum Hamiltonians
For more details, check out https://hpc.iitpkd.ac.in/.
