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2020 – today
- 2024
[c21]Evangelos Georganas, Dhiraj D. Kalamkar, Kirill Voronin, Abhisek Kundu, Antonio Noack, Hans Pabst, Alexander Breuer, Alexander Heinecke:
Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures. IPDPS 2024: 950-963- [i16]Renato Golin, Lorenzo Chelini, Adam Siemieniuk, Kavitha Madhu, Niranjan Hasabnis, Hans Pabst, Evangelos Georganas, Alexander Heinecke:
Towards a high-performance AI compiler with upstream MLIR. CoRR abs/2404.15204 (2024) - 2023
- [i15]Evangelos Georganas, Dhiraj D. Kalamkar, Kirill Voronin, Antonio Noack, Hans Pabst, Alexander Breuer, Alexander Heinecke:
Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures. CoRR abs/2304.12576 (2023) - 2022
- [j4]Rui Ma
, Evangelos Georganas, Alexander Heinecke, Sergey Gribok, Andrew Boutros, Eriko Nurvitadhi:
FPGA-Based AI Smart NICs for Scalable Distributed AI Training Systems. IEEE Comput. Archit. Lett. 21(2): 49-52 (2022) - [j3]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:
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads. Frontiers Appl. Math. Stat. 8: 826269 (2022) - [c20]Narendra Chaudhary, Sanchit Misra, Dhiraj D. Kalamkar, Alexander Heinecke, Evangelos Georganas, Barukh Ziv, Menachem Adelman, Bharat Kaul:
Accelerating Deep Learning based Identification of Chromatin Accessibility from noisy ATAC-seq Data. IPDPS Workshops 2022: 176-185 - [i14]Rui Ma, Evangelos Georganas, Alexander Heinecke, Andrew Boutros, Eriko Nurvitadhi:
FPGA-based AI Smart NICs for Scalable Distributed AI Training Systems. CoRR abs/2204.10943 (2022) - 2021
- [c19]Zhongyi Lin, Evangelos Georganas, John D. Owens:
Towards Flexible and Compiler-Friendly Layer Fusion for CNNs on Multicore CPUs. Euro-Par 2021: 232-248 - [c18]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:
Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads. SC 2021: 14 - [c17]Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha:
DistGNN: scalable distributed training for large-scale graph neural networks. SC 2021: 76 - [i13]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:
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads. CoRR abs/2104.05755 (2021) - [i12]Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha:
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks. CoRR abs/2104.06700 (2021) - [i11]Narendra Chaudhary, Sanchit Misra, Dhiraj D. Kalamkar, Alexander Heinecke, Evangelos Georganas, Barukh Ziv, Menachem Adelman, Bharat Kaul:
Efficient and Generic 1D Dilated Convolution Layer for Deep Learning. CoRR abs/2104.08002 (2021) - 2020
- [c16]Evangelos Georganas, Kunal Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha, Anand Venkat, Michael J. Anderson, Greg Henry, Hans Pabst, Alexander Heinecke:
Harnessing Deep Learning via a Single Building Block. IPDPS 2020: 222-233 - [c15]Dhiraj D. Kalamkar, Evangelos Georganas, Sudarshan Srinivasan, Jianping Chen, Mikhail Shiryaev, Alexander Heinecke:
Optimizing deep learning recommender systems training on CPU cluster architectures. SC 2020: 43 - [i10]Katherine A. Yelick, Aydin Buluç, Muaaz G. Awan, Ariful Azad, Benjamin Brock, Rob Egan, Saliya Ekanayake, Marquita Ellis, Evangelos Georganas, Giulia Guidi, Steven A. Hofmeyr, Oguz Selvitopi, Cristina Teodoropol, Leonid Oliker:
The Parallelism Motifs of Genomic Data Analysis. CoRR abs/2001.06989 (2020) - [i9]Dhiraj D. Kalamkar, Evangelos Georganas, Sudarshan Srinivasan, Jianping Chen, Mikhail Shiryaev, Alexander Heinecke:
Optimizing Deep Learning Recommender Systems' Training On CPU Cluster Architectures. CoRR abs/2005.04680 (2020)
2010 – 2019
- 2019
- [j2]Kunal Banerjee, Evangelos Georganas, Dhiraj D. Kalamkar, Barukh Ziv, Eden Segal, Cristina Anderson, Alexander Heinecke:
Optimizing Deep Learning RNN Topologies on Intel Architecture. Supercomput. Front. Innov. 6(3): 64-85 (2019) - [c14]Matthew Sotoudeh, Anand Venkat, Michael J. Anderson, Evangelos Georganas, Alexander Heinecke, Jason Knight:
ISA mapper: a compute and hardware agnostic deep learning compiler. CF 2019: 164-173 - [c13]Dhiraj D. Kalamkar, Kunal Banerjee, Sudarshan Srinivasan, Srinivas Sridharan, Evangelos Georganas, Mikhail E. Smorkalov, Cong Xu, Alexander Heinecke:
Training Google Neural Machine Translation on an Intel CPU Cluster. CLUSTER 2019: 1-10 - [i8]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:
A Study of BFLOAT16 for Deep Learning Training. CoRR abs/1905.12322 (2019) - [i7]Evangelos Georganas, Kunal Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha, Anand Venkat, Michael J. Anderson, Greg Henry, Hans Pabst, Alexander Heinecke:
High-Performance Deep Learning via a Single Building Block. CoRR abs/1906.06440 (2019) - 2018
- [c12]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:
Mixed Precision Training of Convolutional Neural Networks using Integer Operations. ICLR (Poster) 2018 - [c11]Evangelos Georganas, Rob Egan, Steven A. Hofmeyr, Eugene Goltsman, Bill Arndt, Andrew Tritt, Aydin Buluç, Leonid Oliker, Katherine A. Yelick:
Extreme scale de novo metagenome assembly. SC 2018: 10:1-10:13 - [c10]Evangelos Georganas, Sasikanth Avancha, Kunal Banerjee, Dhiraj D. Kalamkar, Greg Henry, Hans Pabst, Alexander Heinecke:
Anatomy of high-performance deep learning convolutions on SIMD architectures. SC 2018: 66:1-66:12 - [i6]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:
Mixed Precision Training of Convolutional Neural Networks using Integer Operations. CoRR abs/1802.00930 (2018) - [i5]Evangelos Georganas, Sasikanth Avancha, Kunal Banerjee, Dhiraj D. Kalamkar, Greg Henry, Hans Pabst, Alexander Heinecke:
Anatomy Of High-Performance Deep Learning Convolutions On SIMD Architectures. CoRR abs/1808.05567 (2018) - [i4]Evangelos Georganas, Rob Egan, Steven A. Hofmeyr, Eugene Goltsman, Bill Arndt, Andrew Tritt, Aydin Buluç, Leonid Oliker, Katherine A. Yelick:
Extreme Scale De Novo Metagenome Assembly. CoRR abs/1809.07014 (2018) - [i3]Matthew Sotoudeh, Anand Venkat, Michael J. Anderson, Evangelos Georganas, Alexander Heinecke, Jason Knight:
ISA Mapper: A Compute and Hardware Agnostic Deep Learning Compiler. CoRR abs/1810.09958 (2018) - 2017
- [c9]Marquita Ellis, Evangelos Georganas, Rob Egan, Steven A. Hofmeyr, Aydin Buluç, Brandon Cook, Leonid Oliker, Katherine A. Yelick:
Performance Characterization of De Novo Genome Assembly on Leading Parallel Systems. Euro-Par 2017: 79-91 - [c8]Evangelos Georganas, Marquita Ellis, Rob Egan, Steven A. Hofmeyr, Aydin Buluç, Brandon Cook, Leonid Oliker, Katherine A. Yelick:
MerBench: PGAS Benchmarks for High Performance Genome Assembly. PAW@SC 2017: 5:1-5:4 - [c7]Rob F. Van der Wijngaart, Evangelos Georganas, Timothy G. Mattson, Andrew M. Wissink:
A New Parallel Research Kernel to Expand Research on Dynamic Load-Balancing Capabilities. ISC 2017: 256-274 - [i2]Evangelos Georganas, Steven A. Hofmeyr, Rob Egan, Aydin Buluç, Leonid Oliker, Daniel Rokhsar, Katherine A. Yelick:
Extreme-Scale De Novo Genome Assembly. CoRR abs/1705.11147 (2017) - 2016
- [b1]Evangelos Georganas:
Scalable Parallel Algorithms for Genome Analysis. University of California, Berkeley, USA, 2016 - [c6]Evangelos Georganas, Rob F. Van der Wijngaart, Timothy G. Mattson:
Design and Implementation of a Parallel Research Kernel for Assessing Dynamic Load-Balancing Capabilities. IPDPS 2016: 73-82 - 2015
- [c5]Evangelos Georganas, Aydin Buluç, Jarrod Chapman, Leonid Oliker, Daniel Rokhsar, Katherine A. Yelick:
merAligner: A Fully Parallel Sequence Aligner. IPDPS 2015: 561-570 - [c4]Evangelos Georganas, Aydin Buluç, Jarrod Chapman, Steven A. Hofmeyr, Chaitanya Aluru, Rob Egan, Leonid Oliker, Daniel Rokhsar, Katherine A. Yelick:
HipMer: an extreme-scale de novo genome assembler. SC 2015: 14:1-14:11 - 2014
- [j1]Ekaterina Gonina, Gerald Friedland, Eric Battenberg, Penporn Koanantakool, Michael B. Driscoll, Evangelos Georganas, Kurt Keutzer:
Scalable multimedia content analysis on parallel platforms using python. ACM Trans. Multim. Comput. Commun. Appl. 10(2): 18:1-18:22 (2014) - [c3]Evangelos Georganas, Aydin Buluç, Jarrod Chapman, Leonid Oliker, Daniel Rokhsar, Katherine A. Yelick:
Parallel De Bruijn Graph Construction and Traversal for De Novo Genome Assembly. SC 2014: 437-448 - [i1]Jorge González-Domínguez, Evangelos Georganas, Yili Zheng, María J. Martín:
Constructing Performance Models for Dense Linear Algebra Algorithms on Cray XE Systems. CoRR abs/1402.1285 (2014) - 2013
- [c2]Michael B. Driscoll, Evangelos Georganas, Penporn Koanantakool, Edgar Solomonik, Katherine A. Yelick:
A Communication-Optimal N-Body Algorithm for Direct Interactions. IPDPS 2013: 1075-1084 - 2012
- [c1]Evangelos Georganas, Jorge González-Domínguez, Edgar Solomonik, Yili Zheng, Juan Touriño, Katherine A. Yelick:
Communication avoiding and overlapping for numerical linear algebra. SC 2012: 100
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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