Unnikrishnan Cheramangalath

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Rapid Prototyping

Application Development

Top Venues

Publications

Joel Mathew Cherian, Nithin Puthalath Manoj, Kevin Jude Concessao, Unnikrishnan Cheramangalath
STGraph: A Framework for Temporal Graph Neural Networks. IPDPS (Workshops) (2024)
Haritha Madhav C, Unnikrishnan Cheramangalath
Memory leak detection using Heap Object Flow Graph (HOFG). ISEC (2023)
Kevin Jude Concessao, Unnikrishnan Cheramangalath, MJ Ricky Dev, Rupesh Nasre
Meerkat: A framework for Dynamic Graph Algorithms on GPUs. CoRR (2023)
Kausthub Thekke Madathil, Abhinav Dugar, Nagamma Patil, Unnikrishnan Cheramangalath
Optimizing Machine Learning Operators and Models for Specific Hardware Using Apache-TVM. ICCCNT (2023)
Bikash Gogoi, Unnikrishnan Cheramangalath, Rupesh Nasre
Custom code generation for a graph DSL. GPGPU@PPoPP (2020)
Eyasu Getahun Chekole, Sudipta Chattopadhyay, Martín Ochoa, Huaqun Guo, Unnikrishnan Cheramangalath
CIMA: Compiler-Enforced Resilience Against Memory Safety Attacks in Cyber-Physical Systems. Comput. Secur. 94 (2020)
Bikash Gogoi, Unnikrishnan Cheramangalath, Rupesh Nasre
Custom Code Generation for a Graph DSL. CoRR (2019)
Eyasu Getahun Chekole, Unnikrishnan Cheramangalath, Sudipta Chattopadhyay, Martín Ochoa, Huaqun Guo
Taming the War in Memory: A Resilient Mitigation Strategy Against Memory Safety Attacks in CPS. CoRR (2018)
Unnikrishnan Cheramangalath, Rupesh Nasre, Y. N. Srikant
DH-Falcon: A Language for Large-Scale Graph Processing on Distributed Heterogeneous Systems. CLUSTER (2017)
Nitesh Upadhyay, Parita Patel, Unnikrishnan Cheramangalath, Y. N. Srikant
Large Scale Graph Processing in a Distributed Environment. Euro-Par Workshops (2017)