My current research interests are High Performance Computing and Parallel Computing. I continue to be fascinated by the design of novel parallel algorithms and runtime systems that find application in very diverse domains ranging from forecasting weather to modelling the human brain. Currently, I am working on improving performance of Genomic Sequence Alignment on multiple GPUs. During my undergraduate studies, I mainly explored research opportunities in Embedded Systems and High Performance Computing.
I am working under Prof. Subodh Kumar to improve runtime of pairwise sequence alignment on multiple GPUs. We are developing scalable strategy to utilise muliple GPUs to compute this problem efficiently. I am using CUDA and MPI library for the implementation.
Link to first Report (20 September, 2013)
Link to second Report (20 November, 2013)
Link to third Report (21 February, 2014).
- Bing Weather Service. It helped track down the availability issues in the service and root cause the problem areas in a complex distributed system so that an appropriate mitigation can be put in place quickly. During my internship, I also attended workshops to learn about the Bing architecture, Big Data processing and Data Mining.
- Prof. Laxmikant kale in summer 2012, to implement and compare multi-core performance of parallel Jacobi, Gauss-Seidel and MultiGrid methods using Charm++ runtime system on Bluegene/Q.
Prof. M. Balakrishnan to develop a prototype of low-cost, quick and customer-friendly feedback capturing device which involved back-end database management, client-server communication and RFID authentication mechanism. We conducted field tests in campus cafeterias and hostel mess.
Here's the poster we presented at IIT Delhi's annual research showcase, I2Tech Open House.