Kanak Mahadik

Research Scientist

San Jose

Kanak is a distributed systems research scientist at Adobe Research in San Jose.

Her research is broadly related to scalable distributed systems, parallel algorithms, and high-performance computing. Her interests lie specifically in developing techniques and systems to build scalable and performant applications and algorithms for large datasets.

She earned her PhD in Computer Engineering from Purdue University, West Lafayette in August 2017.

More details can be found on her personal webpage here

My Publications

Published November 21, 2019

Linear Quadratic Regulator for Resource-Efficient Cloud Services

ACM Symposium on Cloud Computing

Youngsuk Park, Kanak Mahadik, Ryan Rossi, Gang Wu, Handong Zhao
  • AI & Machine Learning
  • Systems & Languages

Published October 16, 2019

Scalable Genomic Assembly through Parallel de Bruijn Graph Construction for Multiple K-mers

Scientific Reports, Nature Research

Kanak Mahadik, Christopher Wright, Milind Kulkarni, Saurabh Bagchi, Somali Chaterji
  • Systems & Languages

Published November 1, 2018

Performance Extraction and Suitability Analysis of Multi- and Many-core Architectures for Next Generation Sequencing Secondary Analysis

International Conference on Parallel Architectures and Compilation Techniques

Sanchit Misra, Tony Pan, Kanak Mahadik, George Powley, Priya Vaidya, Md. Vasimuddin, Srinivas Aluru
  • Systems & Languages

Published August 21, 2017

Scalable Genomic Assembly through Parallel de Bruijn Graph Construction for Multiple K-mers

International Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB)

Kanak Mahadik, Christopher Wright, Milind Kulkarni, Saurabh Bagchi, Somali Chaterji
  • Systems & Languages

Published June 3, 2016

SARVAVID: A Domain Specific Language for Developing Scalable Computational Genomics Applications

International Conference on Supercomputing (ICS)

Kanak Mahadik, Christopher Wright, Jinyi Zhang, Milind Kulkarni, Saurabh Bagchi, Somali Chaterji
  • Systems & Languages

Published November 14, 2014

Orion: Scaling Genomic Sequence Matching with Fine-Grained Parallelization

International Conference for High Performance Computing, Networking, Storage and Analysis (Supercomputing)

Kanak Mahadik, Somali Chaterji, Bowen Zhou, Milind Kulkarni, Saurabh Bagchi
  • Systems & Languages

Published January 14, 2011

Flexible Resource Allocation for Reliable Virtual Cluster Computing Systems

International Conference for High Performance Computing, Networking, Storage and Analysis (Supercomputing)

Thomas Hacker, Kanak Mahadik
  • Systems & Languages