Evangelos Georganas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
5
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICRO | DECA: A Near-Core LLM Decompression Accelerator Grounded on a 3D Roofline Model. | Gerasimos Gerogiannis, Stijn Eyerman, Evangelos Georganas, Wim Heirman, Josep Torrellas |
| 2021 | EuroPar | Towards Flexible and Compiler-Friendly Layer Fusion for CNNs on Multicore CPUs. | Zhongyi Lin, Evangelos Georganas, John D. Owens |
| 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 | SC | Optimizing deep learning recommender systems training on CPU cluster architectures. | Dhiraj D. Kalamkar, Evangelos Georganas, Sudarshan Srinivasan, Jianping Chen, Mikhail Shiryaev, Alexander Heinecke |
| 2019 | CLUSTER | Training Google Neural Machine Translation on an Intel CPU Cluster. | Dhiraj D. Kalamkar, Kunal Banerjee, Sudarshan Srinivasan, Srinivas Sridharan, Evangelos Georganas, Mikhail E. Smorkalov, Cong Xu, Alexander Heinecke |
| 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 |
| 2018 | SC | Extreme scale de novo metagenome assembly. | Evangelos Georganas, Rob Egan, Steven Hofmeyr, Eugene Goltsman, Bill Arndt, Andrew Tritt, Aydin Bulu, Leonid Oliker, Katherine A. Yelick |
| 2017 | EuroPar | Performance Characterization of De Novo Genome Assembly on Leading Parallel Systems. | Marquita Ellis, Evangelos Georganas, Rob Egan, Steven Hofmeyr, Aydin Bulu, Brandon Cook, Leonid Oliker, Katherine A. Yelick |
| 2017 | SC | MerBench: PGAS Benchmarks for High Performance Genome Assembly. | Evangelos Georganas, Marquita Ellis, Rob Egan, Steven Hofmeyr, Aydin Bulu, Brandon Cook, Leonid Oliker, Katherine A. Yelick |
| 2015 | SC | HipMer: an extreme-scale de novo genome assembler. | Evangelos Georganas, Aydin Bulu, Jarrod Chapman, Steven Hofmeyr, Chaitanya Aluru, Rob Egan, Leonid Oliker, Daniel Rokhsar, Katherine A. Yelick |
| 2014 | SC | Parallel De Bruijn Graph Construction and Traversal for De Novo Genome Assembly. | Evangelos Georganas, Aydin Bulu, Jarrod Chapman, Leonid Oliker, Daniel Rokhsar, Katherine A. Yelick |
| 2012 | SC | Communication avoiding and overlapping for numerical linear algebra. | Evangelos Georganas, Jorge Gonzlez-Domnguez, Edgar Solomonik, Yili Zheng, Juan Tourio, Katherine A. Yelick |