| A whole-genome shotgun approach for assembling and anchoring the hexaploid bread wheat genome JA Chapman, M Mascher, A Buluç, K Barry, E Georganas, A Session, ... Genome biology 16, 1-17, 2015 | 290 | 2015 |
| A study of BFLOAT16 for deep learning training D Kalamkar, D Mudigere, N Mellempudi, D Das, K Banerjee, S Avancha, ... arXiv preprint arXiv:1905.12322, 2019 | 211 | 2019 |
| Mixed precision training of convolutional neural networks using integer operations D Das, N Mellempudi, D Mudigere, D Kalamkar, S Avancha, K Banerjee, ... arXiv preprint arXiv:1802.00930, 2018 | 170 | 2018 |
| Anatomy of high-performance deep learning convolutions on SIMD architectures E Georganas, S Avancha, K Banerjee, D Kalamkar, G Henry, H Pabst, ... SC '18 Proceedings of the International Conference for High Performance …, 0 | 102* | |
| Critical assessment of metagenome interpretation: the second round of challenges F Meyer, A Fritz, ZL Deng, D Koslicki, TR Lesker, A Gurevich, G Robertson, ... Nature methods 19 (4), 429-440, 2022 | 100 | 2022 |
| Parallel de bruijn graph construction and traversal for de novo genome assembly E Georganas, A Buluç, J Chapman, L Oliker, D Rokhsar, K Yelick SC'14: Proceedings of the International Conference for High Performance …, 2014 | 100 | 2014 |
| HipMer: An extreme-scale de novo genome assembler E Georganas, A Buluç, J Chapman, S Hofmeyr, C Aluru, R Egan, L Oliker, ... International Conference for High Performance Computing, Networking, Storage …, 2015 | 89 | 2015 |
| Distgnn: Scalable distributed training for large-scale graph neural networks V Md, S Misra, G Ma, R Mohanty, E Georganas, A Heinecke, D Kalamkar, ... Proceedings of the International Conference for High Performance Computing …, 2021 | 55 | 2021 |
| merAligner: A Fully Parallel Sequence Aligner E Georganas, A Buluc, J Chapman, L Oliker, D Rokhsar, K Yelick Parallel and Distributed Processing Symposium (IPDPS), 2015 IEEE …, 2015 | 53 | 2015 |
| Communication avoiding and overlapping for numerical linear algebra E Georganas, J González-Domínguez, E Solomonik, Y Zheng, J Tourino, ... SC'12: Proceedings of the International Conference on High Performance …, 2012 | 51 | 2012 |
| A communication-optimal n-body algorithm for direct interactions M Driscoll, E Georganas, P Koanantakool, E Solomonik, K Yelick 2013 IEEE 27th International Symposium on Parallel and Distributed …, 2013 | 45 | 2013 |
| Extreme scale de novo metagenome assembly E Georganas, R Egan, S Hofmeyr, E Goltsman, B Arndt, A Tritt, A Buluc, ... SC '18 Proceedings of the International Conference for High Performance …, 0 | 44* | |
| Terabase-scale metagenome coassembly with MetaHipMer S Hofmeyr, R Egan, E Georganas, AC Copeland, R Riley, A Clum, ... Scientific reports 10 (1), 1-11, 2020 | 38 | 2020 |
| Optimizing deep learning recommender systems training on cpu cluster architectures D Kalamkar, E Georganas, S Srinivasan, J Chen, M Shiryaev, A Heinecke SC20: International Conference for High Performance Computing, Networking …, 2020 | 33 | 2020 |
| Harnessing deep learning via a single building block E Georganas, K Banerjee, D Kalamkar, S Avancha, A Venkat, ... 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020 | 16 | 2020 |
| The parallelism motifs of genomic data analysis K Yelick, A Buluç, M Awan, A Azad, B Brock, R Egan, S Ekanayake, ... Philosophical Transactions of the Royal Society A 378 (2166), 20190394, 2020 | 16 | 2020 |
| Tensor processing primitives: A programming abstraction for efficiency and portability in deep learning workloads E Georganas, D Kalamkar, S Avancha, M Adelman, C Anderson, A Breuer, ... Proceedings of the International Conference for High Performance Computing …, 2021 | 15 | 2021 |
| Optimizing deep learning rnn topologies on intel architecture K Banerjee, E Georganas, DD Kalamkar, B Ziv, E Segal, C Anderson, ... Supercomputing Frontiers and Innovations 6 (3), 64-85, 2019 | 11 | 2019 |
| High-performance deep learning via a single building block E Georganas, K Banerjee, D Kalamkar, S Avancha, A Venkat, ... arXiv preprint arXiv:1906.06440, 2019 | 11 | 2019 |
| Scalable multimedia content analysis on parallel platforms using python E Gonina, G Friedland, E Battenberg, P Koanantakool, M Driscoll, ... ACM Transactions on Multimedia Computing, Communications, and Applications …, 2014 | 11 | 2014 |
Alexander HeineckeSenior Principal Engineer at Intel Labs在 intel.com 的电子邮件经过验证
