Evangelos Georganas

47 papers A* 1A 13C 2Journal 24Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Space Filling Curves is All You Need: Communication-Avoiding Matrix Multiplication Made Simple. CoRR Evangelos Georganas, Alexander Heinecke, Pradeep Dubey
2025	A*	`conf`	DECA: A Near-Core LLM Decompression Accelerator Grounded on a 3D Roofline Model. MICRO Gerasimos Gerogiannis, Stijn Eyerman, Evangelos Georganas, Wim Heirman, Josep Torrellas
2025	J	`jnl`	DECA: A Near-Core LLM Decompression Accelerator Supporting Out-of-Order Invocation. CoRR Gerasimos Gerogiannis, Stijn Eyerman, Evangelos Georganas, Wim Heirman, Josep Torrellas
2025	J	`jnl`	ML-SpecQD: Multi-Level Speculative Decoding with Quantized Drafts. CoRR Evangelos Georganas, Dhiraj D. Kalamkar, Alexander Kozlov, Alexander Heinecke
2025	J	`jnl`	Pushing the Envelope of LLM Inference on AI-PC. CoRR Evangelos Georganas, Dhiraj D. Kalamkar, Alexander Heinecke
2024	A	`conf`	Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures. IPDPS Evangelos Georganas, Dhiraj D. Kalamkar, Kirill Voronin, Abhisek Kundu, Antonio Noack, Hans Pabst, Alexander Breuer, Alexander Heinecke
2024	J	`jnl`	Towards a high-performance AI compiler with upstream MLIR. CoRR Renato Golin, Lorenzo Chelini, Adam Siemieniuk, Kavitha Madhu, Niranjan Hasabnis, Hans Pabst, Evangelos Georganas, Alexander Heinecke
2023	J	`jnl`	Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures. CoRR Evangelos Georganas, Dhiraj D. Kalamkar, Kirill Voronin, Antonio Noack, Hans Pabst, Alexander Breuer, Alexander Heinecke
2022	—	`conf`	Accelerating Deep Learning based Identification of Chromatin Accessibility from noisy ATAC-seq Data. IPDPS Workshops Narendra Chaudhary, Sanchit Misra, Dhiraj D. Kalamkar, Alexander Heinecke, Evangelos Georganas, Barukh Ziv, Menachem Adelman, Bharat Kaul
2022	J	`jnl`	FPGA-Based AI Smart NICs for Scalable Distributed AI Training Systems. IEEE Comput. Archit. Lett. Rui Ma, Evangelos Georganas, Alexander Heinecke, Sergey Gribok, Andrew Boutros, Eriko Nurvitadhi
2022	J	`jnl`	FPGA-based AI Smart NICs for Scalable Distributed AI Training Systems. CoRR Rui Ma, Evangelos Georganas, Alexander Heinecke, Andrew Boutros, Eriko Nurvitadhi
2022	J	`jnl`	Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads. Frontiers Appl. Math. Stat. 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
2021	J	`jnl`	DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks. CoRR Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha
2021	A	`conf`	DistGNN: scalable distributed training for large-scale graph neural networks. SC Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha
2021	J	`jnl`	Efficient and Generic 1D Dilated Convolution Layer for Deep Learning. CoRR Narendra Chaudhary, Sanchit Misra, Dhiraj D. Kalamkar, Alexander Heinecke, Evangelos Georganas, Barukh Ziv, Menachem Adelman, Bharat Kaul
2021	J	`jnl`	Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads. CoRR 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
2021	A	`conf`	Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads. SC 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	—	`conf`	Towards Flexible and Compiler-Friendly Layer Fusion for CNNs on Multicore CPUs. Euro-Par Zhongyi Lin, Evangelos Georganas, John D. Owens
2020	A	`conf`	Harnessing Deep Learning via a Single Building Block. IPDPS Evangelos Georganas, Kunal Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha, Anand Venkat, Michael J. Anderson, Greg Henry, Hans Pabst, Alexander Heinecke
2020	J	`jnl`	Optimizing Deep Learning Recommender Systems' Training On CPU Cluster Architectures. CoRR Dhiraj D. Kalamkar, Evangelos Georganas, Sudarshan Srinivasan, Jianping Chen, Mikhail Shiryaev, Alexander Heinecke
2020	A	`conf`	Optimizing deep learning recommender systems training on CPU cluster architectures. SC Dhiraj D. Kalamkar, Evangelos Georganas, Sudarshan Srinivasan, Jianping Chen, Mikhail Shiryaev, Alexander Heinecke
2020	J	`jnl`	The Parallelism Motifs of Genomic Data Analysis. CoRR 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
2019	J	`jnl`	A Study of BFLOAT16 for Deep Learning Training. CoRR 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
2019	J	`jnl`	High-Performance Deep Learning via a Single Building Block. CoRR Evangelos Georganas, Kunal Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha, Anand Venkat, Michael J. Anderson, Greg Henry, Hans Pabst, Alexander Heinecke
2019	—	`conf`	ISA mapper: a compute and hardware agnostic deep learning compiler. CF Matthew Sotoudeh, Anand Venkat, Michael J. Anderson, Evangelos Georganas, Alexander Heinecke, Jason Knight
2019	J	`jnl`	Optimizing Deep Learning RNN Topologies on Intel Architecture. Supercomput. Front. Innov. Kunal Banerjee, Evangelos Georganas, Dhiraj D. Kalamkar, Barukh Ziv, Eden Segal, Cristina Anderson, Alexander Heinecke
2019	C	`conf`	Training Google Neural Machine Translation on an Intel CPU Cluster. CLUSTER Dhiraj D. Kalamkar, Kunal Banerjee, Sudarshan Srinivasan, Srinivas Sridharan, Evangelos Georganas, Mikhail E. Smorkalov, Cong Xu, Alexander Heinecke
2018	J	`jnl`	Anatomy Of High-Performance Deep Learning Convolutions On SIMD Architectures. CoRR Evangelos Georganas, Sasikanth Avancha, Kunal Banerjee, Dhiraj D. Kalamkar, Greg Henry, Hans Pabst, Alexander Heinecke
2018	A	`conf`	Anatomy of high-performance deep learning convolutions on SIMD architectures. SC Evangelos Georganas, Sasikanth Avancha, Kunal Banerjee, Dhiraj D. Kalamkar, Greg Henry, Hans Pabst, Alexander Heinecke
2018	J	`jnl`	Extreme Scale De Novo Metagenome Assembly. CoRR Evangelos Georganas, Rob Egan, Steven A. Hofmeyr, Eugene Goltsman, Bill Arndt, Andrew Tritt, Aydin Buluç, Leonid Oliker, Katherine A. Yelick
2018	A	`conf`	Extreme scale de novo metagenome assembly. SC Evangelos Georganas, Rob Egan, Steven A. Hofmeyr, Eugene Goltsman, Bill Arndt, Andrew Tritt, Aydin Buluç, Leonid Oliker, Katherine A. Yelick
2018	J	`jnl`	ISA Mapper: A Compute and Hardware Agnostic Deep Learning Compiler. CoRR Matthew Sotoudeh, Anand Venkat, Michael J. Anderson, Evangelos Georganas, Alexander Heinecke, Jason Knight
2018	—	`conf`	Mixed Precision Training of Convolutional Neural Networks using Integer Operations. ICLR (Poster) 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
2018	J	`jnl`	Mixed Precision Training of Convolutional Neural Networks using Integer Operations. CoRR 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
2017	C	`conf`	A New Parallel Research Kernel to Expand Research on Dynamic Load-Balancing Capabilities. ISC Rob F. Van der Wijngaart, Evangelos Georganas, Timothy G. Mattson, Andrew M. Wissink
2017	J	`jnl`	Extreme-Scale De Novo Genome Assembly. CoRR Evangelos Georganas, Steven A. Hofmeyr, Rob Egan, Aydin Buluç, Leonid Oliker, Daniel Rokhsar, Katherine A. Yelick
2017	—	`conf`	MerBench: PGAS Benchmarks for High Performance Genome Assembly. PAW@SC Evangelos Georganas, Marquita Ellis, Rob Egan, Steven A. Hofmeyr, Aydin Buluç, Brandon Cook, Leonid Oliker, Katherine A. Yelick
2017	—	`conf`	Performance Characterization of De Novo Genome Assembly on Leading Parallel Systems. Euro-Par Marquita Ellis, Evangelos Georganas, Rob Egan, Steven A. Hofmeyr, Aydin Buluç, Brandon Cook, Leonid Oliker, Katherine A. Yelick
2016	A	`conf`	Design and Implementation of a Parallel Research Kernel for Assessing Dynamic Load-Balancing Capabilities. IPDPS Evangelos Georganas, Rob F. Van der Wijngaart, Timothy G. Mattson
2016	—	`—`	Scalable Parallel Algorithms for Genome Analysis. Evangelos Georganas
2015	A	`conf`	HipMer: an extreme-scale de novo genome assembler. SC Evangelos Georganas, Aydin Buluç, Jarrod Chapman, Steven A. Hofmeyr, Chaitanya Aluru, Rob Egan, Leonid Oliker, Daniel Rokhsar, Katherine A. Yelick
2015	A	`conf`	merAligner: A Fully Parallel Sequence Aligner. IPDPS Evangelos Georganas, Aydin Buluç, Jarrod Chapman, Leonid Oliker, Daniel Rokhsar, Katherine A. Yelick
2014	J	`jnl`	Constructing Performance Models for Dense Linear Algebra Algorithms on Cray XE Systems. CoRR Jorge González-Domínguez, Evangelos Georganas, Yili Zheng, María J. Martín
2014	A	`conf`	Parallel De Bruijn Graph Construction and Traversal for De Novo Genome Assembly. SC Evangelos Georganas, Aydin Buluç, Jarrod Chapman, Leonid Oliker, Daniel Rokhsar, Katherine A. Yelick
2014	J	`jnl`	Scalable multimedia content analysis on parallel platforms using python. ACM Trans. Multim. Comput. Commun. Appl. Ekaterina Gonina, Gerald Friedland, Eric Battenberg, Penporn Koanantakool, Michael B. Driscoll, Evangelos Georganas, Kurt Keutzer
2013	A	`conf`	A Communication-Optimal N-Body Algorithm for Direct Interactions. IPDPS Michael B. Driscoll, Evangelos Georganas, Penporn Koanantakool, Edgar Solomonik, Katherine A. Yelick
2012	A	`conf`	Communication avoiding and overlapping for numerical linear algebra. SC Evangelos Georganas, Jorge González-Domínguez, Edgar Solomonik, Yili Zheng, Juan Touriño, Katherine A. Yelick