Parameterized tiling revisited. - Muthu Manikandan Baskaran; Albert Hartono; Sanket Tavarageri; Thomas Henretty; J. Ramanujam; P. Sadayappan (CGO, 2010)

Dynamic selection of tile sizes. - Sanket Tavarageri; Louis-Noël Pouchet; J. Ramanujam; Atanas Rountev; P. Sadayappan (HiPC, 2011)

A Compiler Analysis to Determine Useful Cache Size for Energy Efficiency. - Sanket Tavarageri; P. Sadayappan (IPDPS Workshops, 2013)

Adaptive parallel tiled code generation and accelerated auto-tuning. - Sanket Tavarageri; J. Ramanujam; P. Sadayappan (Int. J. High Perform. Comput. Appl., 2013)

PWCET: Power-Aware Worst Case Execution Time Analysis. - Wenlei Bao; Sanket Tavarageri; Füsun Özgüner; P. Sadayappan (ICPP Workshops, 2014)

Compiler-assisted detection of transient memory errors. - Sanket Tavarageri; Sriram Krishnamoorthy; P. Sadayappan (PLDI, 2014)

A Tale of Three Runtimes. - Nicolas Vasilache; Muthu Manikandan Baskaran; Thomas Henretty; Benoît Meister; Harper Langston; Sanket Tavarageri; Richard Lethin (CoRR, 2014)

Automatic cluster parallelization and minimizing communication via selective data replication. - Sanket Tavarageri; Benoît Meister; Muthu Manikandan Baskaran; Benoît Pradelle; Thomas Henretty; Athanasios Konstantinidis 001; Ann Johnson; Richard Lethin (HPEC, 2015)

Compiler Support for Software Cache Coherence. - Sanket Tavarageri; Wooil Kim; Josep Torrellas; P. Sadayappan (HiPC, 2016)

Architecting and Programming a Hardware-Incoherent Multiprocessor Cache Hierarchy. - Wooil Kim; Sanket Tavarageri; P. Sadayappan; Josep Torrellas (IPDPS, 2016)

A medical price prediction system using hierarchical decision trees. - Anuja Tike; Sanket Tavarageri (IEEE BigData, 2017)

A Data Analytics Framework for Aggregate Data Analysis. - Sanket Tavarageri; Nag Mani; Anand Ramasubramanian; Jaskiran Kalsi (CoRR, 2018)

Categorization of Program Regions for Agile Compilation using Machine Learning and Hardware Support. - Sanket Tavarageri (CoRR, 2019)

Automatic Model Parallelism for Deep Neural Networks with Compiler and Hardware Support. - Sanket Tavarageri; Srinivas Sridharan 002; Bharat Kaul (CoRR, 2019)

PolyScientist: Automatic Loop Transformations Combined with Microkernels for Optimization of Deep Learning Primitives. - Sanket Tavarageri; Alexander Heinecke; Sasikanth Avancha; Gagandeep Goyal; Ramakrishna Upadrasta; Bharat Kaul (CoRR, 2020)

AI Powered Compiler Techniques for DL Code Optimization. - Sanket Tavarageri; Gagandeep Goyal; Sasikanth Avancha; Bharat Kaul; Ramakrishna Upadrasta (CoRR, 2021)

PolyDL: Polyhedral Optimizations for Creation of High-performance DL Primitives. - Sanket Tavarageri; Alexander Heinecke; Sasikanth Avancha; Bharat Kaul; Gagandeep Goyal; Ramakrishna Upadrasta (ACM Trans. Archit. Code Optim., 2021)