Sasikanth Avancha

According to our database, Sasikanth Avancha authored at least 43 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Generative Active Learning for the Search of Small-molecule Protein Binders.

Maksym Korablyov, Cheng-Hao Liu, Moksh Jain, Almer M. van der Sloot, Eric Jolicoeur, Edward Ruediger, Andrei Cristian Nica, Emmanuel Bengio, Kostiantyn Lapchevskyi, Daniel St-Cyr, Doris Alexandra Schuetz, Victor Ion Butoi, Jarrid Rector-Brooks, Simon Blackburn, Leo Feng, Hadi Nekoei, Sai Krishna Gottipati, Priyesh Vijayan, Prateek Gupta, Ladislav Rampásek, Sasikanth Avancha, Pierre-Luc Bacon, William L. Hamilton, Brooks Paige, Sanchit Misra, Stanislaw Kamil Jastrzebski, Bharat Kaul, Doina Precup, José Miguel Hernández-Lobato, Marwin H. S. Segler, Michael M. Bronstein, Anne Marinier, Mike Tyers, Yoshua Bengio

CoRR, 2024

2022

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads.

Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Deepti Aggarwal, Cristina Anderson, Alexander Breuer, Jeremy Bruestle, Narendra Chaudhary, Abhisek Kundu, Denise Kutnick, Frank Laub, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Brian Retford, Barukh Ziv, Alexander Heinecke

Frontiers Appl. Math. Stat., 2022

DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling.

Md. Vasimuddin, Ramanarayan Mohanty, Sanchit Misra, Sasikanth Avancha

CoRR, 2022

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

Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights.

Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li

Proc. IEEE, 2021

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads.

Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Cristina Anderson, Alexander Breuer, Narendra Chaudhary, Abhisek Kundu, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Barukh Ziv, Alexander Heinecke

CoRR, 2021

AI Powered Compiler Techniques for DL Code Optimization.

Sanket Tavarageri, Gagandeep Goyal, Sasikanth Avancha, Bharat Kaul, Ramakrishna Upadrasta

CoRR, 2021

DistGNN: scalable distributed training for large-scale graph neural networks.

Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha

Proceedings of the International Conference for High Performance Computing, 2021

Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads.

Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Cristina Anderson, Alexander Breuer, Jeremy Bruestle, Narendra Chaudhary, Abhisek Kundu, Denise Kutnick, Frank Laub, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Barukh Ziv, Alexander Heinecke

Proceedings of the International Conference for High Performance Computing, 2021

GNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks.

Jacob R. Stevens, Dipankar Das, Sasikanth Avancha, Bharat Kaul, Anand Raghunathan

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

SEERL: Sample Efficient Ensemble Reinforcement Learning.

Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Deep Graph Library Optimizations for Intel(R) x86 Architecture.

Sasikanth Avancha, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty

CoRR, 2020

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

Harnessing Deep Learning via a Single Building Block.

Evangelos Georganas, Kunal Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha, Anand Venkat, Michael J. Anderson, Greg Henry, Hans Pabst, Alexander Heinecke

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

dMazeRunner: Optimizing Convolutions on Dataflow Accelerators.

Shail Dave, Aviral Shrivastava, Youngbin Kim, Sasikanth Avancha, Kyoungwoo Lee

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Intel Nervana Neural Network Processor-T (NNP-T) Fused Floating Point Many-Term Dot Product.

Brian Hickmann, Jieasheng Chen, Michael Rotzin, Andrew Yang, Maciej Urbanski, Sasikanth Avancha

Proceedings of the 27th IEEE Symposium on Computer Arithmetic, 2020

ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract).

Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

dMazeRunner: Executing Perfectly Nested Loops on Dataflow Accelerators.

Shail Dave, Youngbin Kim, Sasikanth Avancha, Kyoungwoo Lee, Aviral Shrivastava

ACM Trans. Embed. Comput. Syst., 2019

High Performance Scalable FPGA Accelerator for Deep Neural Networks.

Sudarshan Srinivasan, Pradeep Janedula, Saurabh Dhoble, Sasikanth Avancha, Dipankar Das, Naveen Mellempudi, Bharat Daga, Martin Langhammer, Gregg Baeckler, Bharat Kaul

CoRR, 2019

High-Performance Deep Learning via a Single Building Block.

Evangelos Georganas, Kunal Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha, Anand Venkat, Michael J. Anderson, Greg Henry, Hans Pabst, Alexander Heinecke

CoRR, 2019

A Study of BFLOAT16 for Deep Learning Training.

Dhiraj D. Kalamkar, Dheevatsa Mudigere, Naveen Mellempudi, Dipankar Das, Kunal Banerjee, Sasikanth Avancha, Dharma Teja Vooturi, Nataraj Jammalamadaka, Jianyu Huang, Hector Yuen, Jiyan Yang, Jongsoo Park, Alexander Heinecke, Evangelos Georganas, Sudarshan Srinivasan, Abhisek Kundu, Misha Smelyanskiy, Bharat Kaul, Pradeep Dubey

CoRR, 2019

2018

Hierarchical Block Sparse Neural Networks.

Dharma Teja Vooturi, Dheevatsa Mudigere, Sasikanth Avancha

CoRR, 2018

On Scale-out Deep Learning Training for Cloud and HPC.

Srinivas Sridharan, Karthikeyan Vaidyanathan, Dhiraj D. Kalamkar, Dipankar Das, Mikhail E. Smorkalov, Mikhail Shiryaev, Dheevatsa Mudigere, Naveen Mellempudi, Sasikanth Avancha, Bharat Kaul, Pradeep Dubey

CoRR, 2018

Anatomy of high-performance deep learning convolutions on SIMD architectures.

Evangelos Georganas, Sasikanth Avancha, Kunal Banerjee, Dhiraj D. Kalamkar, Greg Henry, Hans Pabst, Alexander Heinecke

Proceedings of the International Conference for High Performance Computing, 2018

Mixed Precision Training of Convolutional Neural Networks using Integer Operations.

Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere, Dhiraj D. Kalamkar, Sasikanth Avancha, Kunal Banerjee, Srinivas Sridharan, Karthik Vaidyanathan, Bharat Kaul, Evangelos Georganas, Alexander Heinecke, Pradeep Dubey, Jesús Corbal, Nikita Shustrov, Roman Dubtsov, Evarist Fomenko, Vadim O. Pirogov

Proceedings of the 6th International Conference on Learning Representations, 2018

RAIL: Risk-Averse Imitation Learning.

Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

ScaleDeep: A Scalable Compute Architecture for Learning and Evaluating Deep Networks.

Swagath Venkataramani, Ashish Ranjan, Subarno Banerjee, Dipankar Das, Sasikanth Avancha, Ashok Jagannathan, Ajaya Durg, Dheemanth Nagaraj, Bharat Kaul, Pradeep Dubey, Anand Raghunathan

Proceedings of the 44th Annual International Symposium on Computer Architecture, 2017

2016

Distributed Deep Learning Using Synchronous Stochastic Gradient Descent.

Dipankar Das, Sasikanth Avancha, Dheevatsa Mudigere, Karthikeyan Vaidyanathan, Srinivas Sridharan, Dhiraj D. Kalamkar, Bharat Kaul, Pradeep Dubey

CoRR, 2016

2012

Privacy in mobile technology for personal healthcare.

Sasikanth Avancha, Amit S. Baxi, David Kotz

ACM Comput. Surv., 2012

Exascale Computing & Beyond: Meeting the Challenges.

Karthikeyan Vaidyanathan, Sasikanth Avancha, Sunil Sherlekar

Proceedings of the Transition of HPC Towards Exascale Computing, 2012

2008

A Framework for Trustworthy Service-Oriented Computing (Short Paper).

Sasikanth Avancha

Proceedings of the Information Systems Security, 4th International Conference, 2008

2007

Using Ontologies in the Semantic Web: A Survey.

Li Ding, Pranam Kolari, Zhongli Ding, Sasikanth Avancha

Proceedings of the Ontologies: A Handbook of Principles, 2007

2004

Data and Services for Mobile Computing.

Sasikanth Avancha, Dipanjan Chakraborty, Filip Perich, Anupam Joshi

Proceedings of the Practical Handbook of Internet Computing., 2004

Ontology-Driven Adaptive Sensor Networks.

Sasikanth Avancha, Chintan Patel, Anupam Joshi

Proceedings of the 1st Annual International Conference on Mobile and Ubiquitous Systems (MobiQuitous 2004), 2004

2003

P2P M-commerce in pervasive environments.

Sasikanth Avancha, Peter D'Souza, Filip Perich, Anupam Joshi, Yelena Yesha

SIGecom Exch., 2003

Secure sensor networks for perimeter protection.

Sasikanth Avancha, Jeffrey Undercoffer, Anupam Joshi, John Pinkston

Comput. Networks, 2003

2002

Centaurus: An Infrastructure for Service Management in Ubiquitous Computing Environments.

Lalana Kagal, Vlad Korolev, Sasikanth Avancha, Anupam Joshi, Timothy W. Finin, Yelena Yesha

Wirel. Networks, 2002

Intelligent Agents for Mobile and Embedded Devices.

Timothy W. Finin, Anupam Joshi, Lalana Kagal, Olga Ratsimore, Sasikanth Avancha, Vlad Korolev, Harry Chen, Filip Perich, R. Scott Cost

Int. J. Cooperative Inf. Syst., 2002

Enhanced Service Discovery in Bluetooth.

Sasikanth Avancha, Anupam Joshi, Timothy W. Finin

Computer, 2002

On experiments with a transport protocol for pervasive computing environments.

Sasikanth Avancha, Vlad Korolev, Anupam Joshi, Timothy W. Finin, Yelena Yesha

Comput. Networks, 2002

Simulation of a Common Access Point for Bluetooth, 802.11 and Wired LANs.

Bhagyalaxmi Bethala, Anupam Joshi, Dhananjay S. Phatak, Sasikanth Avancha, Tom Goff

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2002

Profile Driven Data Management for Pervasive Environments.

Filip Perich, Sasikanth Avancha, Dipanjan Chakraborty, Anupam Joshi, Yelena Yesha

Proceedings of the Database and Expert Systems Applications, 13th International Conference, 2002

2001

Transport protocols in wireless networks.

Sasikanth Avancha, Vladimir Korolev, Anupam Joshi, Timothy W. Finin

Proceedings of the 10th International Conference on Computer Communications and Networks, 2001