"Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads". Evangelos Georganas, Dhiraj Kalamkar, Sasikanth Avancha, Menachem Adelman, Cristina Anderson, Alexander Breuer, Jeremy Bruestle, Narendra Chaudhary, Abhisek Kundu, Denise Kutnick, Frank Laub, Vasimuddin Md, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Barukh Ziv, Alexander Heinecke. SC21: International Conference on High Performance Computing, Networking, Storage and Analysis (SC 2021), November 2021.
"DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks". Vasimuddin Md, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj Kalamkar, Nesreen K Ahmed, Sasikanth Avancha. SC21: International Conference on High Performance Computing, Networking, Storage and Analysis (SC 2021), November 2021.
"Efficient and Generic 1D Dilated Convolution Layer for Deep Learning". Narendra Chaudhary, Sanchit Misra, Dhiraj Kalamkar, Alexander Heinecke, Evangelos Georganas, Barukh Ziv, Menachem Adelman, Bharat Kaul. arXiv preprint, April 2021.
"Critical Assessment of Metagenome Interpretation-the second round of challenges". F Meyer, A Fritz, Z-L Deng, D Koslicki, A Gurevich, G Robertson, M Alser, D Antipov, F Beghini, D Bertrand, JJ Brito, CT Brown, J Buchmann, A Buluç, B Chen, R Chikhi, PT Clausen, A Cristian, PW Dabrowski, AE Darling, R Egan, E Eskin, E Georganas, E Goltsman, et al. bioRxiv preprint, July 2021.
"Optimizing deep learning recommender systems training on CPU cluster architectures". Dhiraj Kalamkar, Evangelos Georganas, Sudarshan Srinivasan, Jianping Chen, Mikhail Shiryaev, Alexander Heinecke. SC20: International Conference on High Performance Computing, Networking, Storage and Analysis (SC 2020), November 2020.
"Terabase-scale metagenome coassembly with Metahipmer". Steven Hofmeyr, Rob Egan, Evangelos Georganas, Alex C. Copeland, Robert Riley, Alicia Clum, Emiley Eloe-Fadrosh, Simon Roux, Eugene Goltsman, Aydın Buluç, Daniel Rokhsar, Leonid Oliker, Katherine Yelick. Nature Scientific Reports 10, no. 1 (2020): 1-11
"The parallelism motifs of genomic data analysis". Katherine Yelick, Aydın Buluç, Muaaz Awan, Ariful Azad, Benjamin Brock, Rob Egan, Saliya Ekanayake, Marquita Ellis, Evangelos Georganas, Giulia Guidi, Steven Hofmeyr, Oguz Selvitopi, Cristina Teodoropol and Leonid Oliker. Philosophical Transactions of the Royal Society A, 2020, 378:20190394. doi: 10.1098/rsta.2019.0394
"Harnessing Deep Learning via a Single Building Block". Evangelos Georganas, Kunal Banerjee, Dhiraj Kalamkar, Sasikanth Avancha, Anand Venkat, Michael Anderson, Greg Henry, Hans Pabst, Alexander Heinecke. 34th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2020), New Orleans, Louisiana, USA, May 2020
"A Study of BFLOAT16 for Deep Learning Training". Dhiraj 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. Preprint, June 2019.
"Optimizing Deep Learning LSTM Topologies on Intel Xeon Architecture" [Best research poster in AI and ML category]. Kunal Banerjee, Evangelos Georganas, Dhiraj D Kalamkar, Alexander Heinecke. (ISC 2019), 2019 ISC High Performance 2019. Extended paper.
"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. (IEEE CLUSTER 2019), 2019 IEEE International Conference on Cluster Computing, Albuquerque, New Mexico, USA, September 2019.
"ISA Mapper: A Compute and Hardware Agnostic Deep Learning Compiler". Matthew Sotoudeh, Anand Venkat, Michael Anderson, Evangelos Georganas, Alexander Heinecke, Jason Knight. (CF '19), CF' 19 Proceedings of the 16th ACM International Conference on Computing Frontiers, Alghero, Italy 2019.
"Extreme Scale De Novo Metagenome Assembly" [Best paper finalist]. Evangelos Georganas, Rob Egan, Steven Hofmeyr, Eugene Goltsman, Bill Arndt, Andrew Tritt, Aydin Buluç, Leonid Oliker, Katherine Yelick. 30th ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis (SC 2018), Dallas, TX, USA, November 2018.
"Anatomy of High-Performance Deep Learning Convolutions on SIMD Architectures". Evangelos Georganas, Sasikanth Avancha, Kunal Banerjee, Dhiraj Kalamkar, Greg Henry, Hans Pabst, Alexander Heinecke. 30th ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis (SC 2018), Dallas, TX, USA, November 2018.
"Tensorfolding: Improving Convolutional Neural Network Performance with Fused Microkernels". Michael Anderson, Evangelos Georganas, Sasikanth Avancha, Alexander Heinecke. 30th ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis (SC 2018), Dallas, TX, USA, November 2018.
"Mixed Precision Training of Convolutional Neural Networks using Integer Operations". Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere, Dhiraj Kalamkar, Sasikanth Avancha, Kunal Banerjee, Srinivas Sridharan, Karthik Vaidyanathan, Bharat Kaul, Evangelos Georganas, Alexander Heinecke, Pradeep Dubey, Jesus Corbal, Nikita Shustrov, Roma Dubtsov, Evarist Fomenko and Vadim Pirogov. Sixth International Conference on Learning Representations (ICLR 2018), Vancouver, Canada, May 2018.
"MerBench: PGAS Benchmarks for High Performance Genome Assembly". Evangelos Georganas, Marquita Ellis, Rob Egan, Steven Hofmeyr, Aydın Buluç, Brandon Cook, Leonid Oliker and Katherine Yelick. PAW17 Proceedings of the Second Annual PGAS Applications Workshop, Denver, CO, USA, November 2017.
"Extreme-Scale De Novo Genome Assembly". Evangelos Georganas, Steven Hofmeyr, Rob Egan, Aydın Buluç, Leonid Oliker, Daniel Rokhsar and Katherine Yelick. "Exascale Scientific Applications: Programming Approaches for Scalability, Performance, and Portability", Straatsma, Antypas, Williams (editors), CRC Press, 2017.
"Performance Characterization of De Novo Genome Assembly on Leading Parallel Systems". Marquita Ellis, Evangelos Georganas, Rob Egan, Steven Hofmeyr, Aydın Buluç, Brandon Cook, Leonid Oliker and Katherine Yelick. 23rd International European Conference on Parallel and Distributed Computing (Euro-Par 2017), Santiago de Compostela, Galicia, Spain, August 2017.
"A New Parallel Research Kernel to Expand Research on Dynamic Load-Balancing Capabilities". Rob F. Van der Wijngaart, Evangelos Georganas, Timothy G. Mattson and Andrew Wissink. International Supercomputing Conference 2017 (ISC 2017).
"Scalable Parallel Algorithms for Genome Analysis". Evangelos Georganas. PhD thesis, EECS Department, University of California, Berkeley, August 2016 .
"Design and Implementation of a Parallel Research Kernel for Assessing Dynamic Load-Balancing Capabilities". Evangelos Georganas, Rob F. Van der Wijngaart and Timothy G. Mattson. 30th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2016), Chicago, IL, USA, May 2016.
"HipMer: An Extreme-Scale De Novo Genome Assembler". Evangelos Georganas, Aydın Buluç, Jarrod Chapman, Steven Hofmeyr, Chaitanya Aluru, Rob Egan, Leonid Oliker, Daniel Rokhsar and Katherine Yelick. 27th ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis (SC 2015), Austin, TX, USA, November 2015.
"merAligner: A Fully Parallel Sequence Aligner". Evangelos Georganas, Aydın Buluç, Jarrod Chapman, Leonid Oliker, Daniel Rokhsar and Katherine Yelick. 29th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2015), Hyderabad, INDIA, May 2015.
"A whole-genome shotgun approach for assembling and anchoring the hexaploid bread wheat genome". Jarrod A Chapman, Martin Mascher, Aydın Buluç, Kerrie Barry, Evangelos Georganas, Adam Session, Veronika Strnadova, Jerry Jenkins, Sunish Sehgal, Leonid Oliker, Jeremy Schmutz, Katherine A Yelick, Uwe Scholz, Robbie Waugh, Jesse A Poland, Gary J Muehlbauer, Nils Stein and Daniel S Rokhsar. Genome Biology 2015, 16:26.
"Parallel De Bruijn Graph Construction and Traversal for De Novo Genome Assembly". Evangelos Georganas, Aydın Buluç, Jarrod Chapman, Leonid Oliker, Daniel Rokhsar and Katherine Yelick. 26th ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis (SC 2014), New Orleans, LA, USA, November 2014.
"A Communication-Optimal N-Body Algorithm for Direct Interactions". Michael Driscoll*, Evangelos Georganas*, Penporn Koanantakool*, Edgar Solomonik and Katherine Yelick. 27th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2013), Boston, MA, USA, May 2013. ( *Equal contribution )
"Communication Avoiding and Overlapping for Numerical Linear Algebra". Evangelos Georganas, Jorge González-Domínguez, Edgar Solomonik, Yili Zheng, Juan Touriño and Katherine Yelick. 24th ACM/IEEE Conference on Supercomputing (SC 2012), Salt Lake City, UT, USA, November 2012.
"Scalable Multimedia Content Analysis on Parallel Platforms". Ekaterina Gonina, Gerald Friedland, Eric Battenberg, Penporn Koanantakool, Michael Driscoll, Evangelos Georganas, Kurt Keutzer. ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP) 2013.