Sasikanth Avancha
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
12
Active years
2001–2021
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | DAC | GNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks. | Jacob R. Stevens, Dipankar Das, Sasikanth Avancha, Bharat Kaul, Anand Raghunathan |
| 2021 | SC | 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 |
| 2021 | SC | 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 |
| 2020 | AAAI | ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract). | Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul |
| 2020 | ARITH | 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 |
| 2020 | ICASSP | dMazeRunner: Optimizing Convolutions on Dataflow Accelerators. | Shail Dave, Aviral Shrivastava, Youngbin Kim, Sasikanth Avancha, Kyoungwoo Lee |
| 2018 | ICLR | 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, Jess Corbal, Nikita Shustrov, Roman Dubtsov, Evarist Fomenko, Vadim O. Pirogov |
| 2018 | SC | 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 |
| 2017 | ISCA | 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 |
| 2008 | ICISS | A Framework for Trustworthy Service-Oriented Computing (Short Paper). | Sasikanth Avancha |
| 2004 | Mobiquitous | Ontology-Driven Adaptive Sensor Networks. | Sasikanth Avancha, Chintan Patel, Anupam Joshi |
| 2002 | DEXA | Profile Driven Data Management for Pervasive Environments. | Filip Perich, Sasikanth Avancha, Dipanjan Chakraborty, Anupam Joshi, Yelena Yesha |
| 2002 | PDPTA | Simulation of a Common Access Point for Bluetooth, 802.11 and Wired LANs. | Bhagyalaxmi Bethala, Anupam Joshi, Dhananjay S. Phatak, Sasikanth Avancha, Tom Goff |
| 2001 | ICCCN | Transport protocols in wireless networks. | Sasikanth Avancha, Vladimir Korolev, Anupam Joshi, Timothy W. Finin |