Sasikanth Avancha

51 papers A* 3A 6B 1C 3Misc 4Journal 31Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Generative Active Learning for the Search of Small-molecule Protein Binders. CoRR 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
2022	J	`jnl`	DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling. CoRR Md. Vasimuddin, Ramanarayan Mohanty, Sanchit Misra, Sasikanth Avancha
2022	J	`jnl`	Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads. Frontiers Appl. Math. Stat. 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
2021	J	`jnl`	AI Powered Compiler Techniques for DL Code Optimization. CoRR Sanket Tavarageri, Gagandeep Goyal, Sasikanth Avancha, Bharat Kaul, Ramakrishna Upadrasta
2021	J	`jnl`	DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks. CoRR Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha
2021	A	`conf`	DistGNN: scalable distributed training for large-scale graph neural networks. SC Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha
2021	A*	`conf`	GNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks. DAC Jacob R. Stevens, Dipankar Das, Sasikanth Avancha, Bharat Kaul, Anand Raghunathan
2021	J	`jnl`	GNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks. CoRR Jacob R. Stevens, Dipankar Das, Sasikanth Avancha, Bharat Kaul, Anand Raghunathan
2021	J	`jnl`	Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights. Proc. IEEE Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li
2021	J	`jnl`	PolyDL: Polyhedral Optimizations for Creation of High-performance DL Primitives. ACM Trans. Archit. Code Optim. Sanket Tavarageri, Alexander Heinecke, Sasikanth Avancha, Bharat Kaul, Gagandeep Goyal, Ramakrishna Upadrasta
2021	A	`conf`	SEERL: Sample Efficient Ensemble Reinforcement Learning. AAMAS Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
2021	J	`jnl`	Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads. CoRR 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
2021	A	`conf`	Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads. SC 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
2020	J	`jnl`	Deep Graph Library Optimizations for Intel(R) x86 Architecture. CoRR Sasikanth Avancha, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty
2020	A*	`conf`	ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract). AAAI Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
2020	J	`jnl`	Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights. CoRR Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li
2020	A	`conf`	Harnessing Deep Learning via a Single Building Block. IPDPS Evangelos Georganas, Kunal Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha, Anand Venkat, Michael J. Anderson, Greg Henry, Hans Pabst, Alexander Heinecke
2020	C	`conf`	Intel Nervana Neural Network Processor-T (NNP-T) Fused Floating Point Many-Term Dot Product. ARITH Brian Hickmann, Jieasheng Chen, Michael Rotzin, Andrew Yang, Maciej Urbanski, Sasikanth Avancha
2020	J	`jnl`	PolyDL: Polyhedral Optimizations for Creation of High Performance DL primitives. CoRR Sanket Tavarageri, Alexander Heinecke, Sasikanth Avancha, Gagandeep Goyal, Ramakrishna Upadrasta, Bharat Kaul
2020	J	`jnl`	PolyScientist: Automatic Loop Transformations Combined with Microkernels for Optimization of Deep Learning Primitives. CoRR Sanket Tavarageri, Alexander Heinecke, Sasikanth Avancha, Gagandeep Goyal, Ramakrishna Upadrasta, Bharat Kaul
2020	J	`jnl`	SEERL: Sample Efficient Ensemble Reinforcement Learning. CoRR Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
2020	Misc	`conf`	dMazeRunner: Optimizing Convolutions on Dataflow Accelerators. ICASSP Shail Dave, Aviral Shrivastava, YoungBin Kim, Sasikanth Avancha, Kyoungwoo Lee
2019	J	`jnl`	A Study of BFLOAT16 for Deep Learning Training. CoRR 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
2019	J	`jnl`	High Performance Scalable FPGA Accelerator for Deep Neural Networks. CoRR Sudarshan Srinivasan, Pradeep Janedula, Saurabh Dhoble, Sasikanth Avancha, Dipankar Das, Naveen Mellempudi, Bharat Daga, Martin Langhammer, Gregg Baeckler, Bharat Kaul
2019	J	`jnl`	High-Performance Deep Learning via a Single Building Block. CoRR Evangelos Georganas, Kunal Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha, Anand Venkat, Michael J. Anderson, Greg Henry, Hans Pabst, Alexander Heinecke
2019	J	`jnl`	dMazeRunner: Executing Perfectly Nested Loops on Dataflow Accelerators. ACM Trans. Embed. Comput. Syst. Shail Dave, YoungBin Kim, Sasikanth Avancha, Kyoungwoo Lee, Aviral Shrivastava
2018	J	`jnl`	Anatomy Of High-Performance Deep Learning Convolutions On SIMD Architectures. CoRR Evangelos Georganas, Sasikanth Avancha, Kunal Banerjee, Dhiraj D. Kalamkar, Greg Henry, Hans Pabst, Alexander Heinecke
2018	A	`conf`	Anatomy of high-performance deep learning convolutions on SIMD architectures. SC Evangelos Georganas, Sasikanth Avancha, Kunal Banerjee, Dhiraj D. Kalamkar, Greg Henry, Hans Pabst, Alexander Heinecke
2018	J	`jnl`	Hierarchical Block Sparse Neural Networks. CoRR Dharma Teja Vooturi, Dheevatsa Mudigere, Sasikanth Avancha
2018	—	`conf`	Mixed Precision Training of Convolutional Neural Networks using Integer Operations. ICLR (Poster) 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
2018	J	`jnl`	Mixed Precision Training of Convolutional Neural Networks using Integer Operations. CoRR 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
2018	J	`jnl`	On Scale-out Deep Learning Training for Cloud and HPC. CoRR Srinivas Sridharan, Karthikeyan Vaidyanathan, Dhiraj D. Kalamkar, Dipankar Das, Mikhail E. Smorkalov, Mikhail Shiryaev, Dheevatsa Mudigere, Naveen Mellempudi, Sasikanth Avancha, Bharat Kaul, Pradeep Dubey
2018	A	`conf`	RAIL: Risk-Averse Imitation Learning. AAMAS Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
2017	J	`jnl`	RAIL: Risk-Averse Imitation Learning. CoRR Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
2017	A*	`conf`	ScaleDeep: A Scalable Compute Architecture for Learning and Evaluating Deep Networks. ISCA Swagath Venkataramani, Ashish Ranjan, Subarno Banerjee, Dipankar Das, Sasikanth Avancha, Ashok Jagannathan, Ajaya Durg, Dheemanth Nagaraj, Bharat Kaul, Pradeep Dubey, Anand Raghunathan
2016	J	`jnl`	Distributed Deep Learning Using Synchronous Stochastic Gradient Descent. CoRR Dipankar Das, Sasikanth Avancha, Dheevatsa Mudigere, Karthikeyan Vaidyanathan, Srinivas Sridharan, Dhiraj D. Kalamkar, Bharat Kaul, Pradeep Dubey
2012	Misc	`conf`	Exascale Computing & Beyond: Meeting the Challenges. High Performance Computing Workshop (2) Karthikeyan Vaidyanathan, Sasikanth Avancha, Sunil Sherlekar
2012	J	`jnl`	Privacy in mobile technology for personal healthcare. ACM Comput. Surv. Sasikanth Avancha, Amit S. Baxi, David Kotz
2008	Misc	`conf`	A Framework for Trustworthy Service-Oriented Computing (Short Paper). ICISS Sasikanth Avancha
2007	—	`ch.`	Using Ontologies in the Semantic Web: A Survey. Ontologies Li Ding, Pranam Kolari, Zhongli Ding, Sasikanth Avancha
2004	—	`ch.`	Data and Services for Mobile Computing. The Practical Handbook of Internet Computing Sasikanth Avancha, Dipanjan Chakraborty, Filip Perich, Anupam Joshi
2004	C	`conf`	Ontology-Driven Adaptive Sensor Networks. MobiQuitous Sasikanth Avancha, Chintan Patel, Anupam Joshi
2003	J	`jnl`	P2P M-commerce in pervasive environments. SIGecom Exch. Sasikanth Avancha, Peter D'Souza, Filip Perich, Anupam Joshi, Yelena Yesha
2003	J	`jnl`	Secure sensor networks for perimeter protection. Comput. Networks Sasikanth Avancha, Jeffrey Undercoffer, Anupam Joshi, John Pinkston
2002	J	`jnl`	Centaurus: An Infrastructure for Service Management in Ubiquitous Computing Environments. Wirel. Networks Lalana Kagal, Vlad Korolev, Sasikanth Avancha, Anupam Joshi, Timothy W. Finin, Yelena Yesha
2002	J	`jnl`	Enhanced Service Discovery in Bluetooth. Computer Sasikanth Avancha, Anupam Joshi, Timothy W. Finin
2002	J	`jnl`	Intelligent Agents for Mobile and Embedded Devices. Int. J. Cooperative Inf. Syst. Timothy W. Finin, Anupam Joshi, Lalana Kagal, Olga Ratsimore, Sasikanth Avancha, Vlad Korolev, Harry Chen, Filip Perich, R. Scott Cost
2002	J	`jnl`	On experiments with a transport protocol for pervasive computing environments. Comput. Networks Sasikanth Avancha, Vlad Korolev, Anupam Joshi, Timothy W. Finin, Yelena Yesha
2002	C	`conf`	Profile Driven Data Management for Pervasive Environments. DEXA Filip Perich, Sasikanth Avancha, Dipanjan Chakraborty, Anupam Joshi, Yelena Yesha
2002	Misc	`conf`	Simulation of a Common Access Point for Bluetooth, 802.11 and Wired LANs. PDPTA Bhagyalaxmi Bethala, Anupam Joshi, Dhananjay S. Phatak, Sasikanth Avancha, Tom Goff
2001	B	`conf`	Transport protocols in wireless networks. ICCCN Sasikanth Avancha, Vladimir Korolev, Anupam Joshi, Timothy W. Finin