Seyedramin Rasoulinezhad

16 papers A* 1A 2C 1Misc 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Corrigendum: Applications and techniques for fast machine learning in science. Frontiers Big Data Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Shen Wang, Thomas K. Warburton
2022	J	`jnl`	Applications and Techniques for Fast Machine Learning in Science. Frontiers Big Data Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Shen Wang, Thomas K. Warburton
2022	J	`jnl`	FPGA Architecture Exploration for DNN Acceleration. ACM Trans. Reconfigurable Technol. Syst. Esther Roorda, Seyedramin Rasoulinezhad, Philip H. W. Leong, Steven J. E. Wilton
2022	J	`jnl`	NITI: Training Integer Neural Networks Using Integer-Only Arithmetic. IEEE Trans. Parallel Distributed Syst. Maolin Wang, Seyedramin Rasoulinezhad, Philip H. W. Leong, Hayden Kwok-Hay So
2022	J	`jnl`	Rethinking Embedded Blocks for Machine Learning Applications. ACM Trans. Reconfigurable Technol. Syst. Seyedramin Rasoulinezhad, Esther Roorda, Steve Wilton, Philip H. W. Leong, David Boland
2021	A*	`conf`	A Block Minifloat Representation for Training Deep Neural Networks. ICLR Sean Fox, Seyedramin Rasoulinezhad, Julian Faraone, David Boland, Philip H. W. Leong
2021	—	`conf`	APIR-DSP: An approximate PIR-DSP architecture for error-tolerant applications. FPT Yuan Dai, Simin Liu, Yao Lu, Hao Zhou, Seyedramin Rasoulinezhad, Philip H. W. Leong, Lingli Wang
2021	J	`jnl`	Applications and Techniques for Fast Machine Learning in Science. CoRR Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Thomas K. Warburton, Maria Acosta Flechas, Anthony Aportela, Thomas Calvet, Leonardo Cristella, Daniel Diaz, Caterina Doglioni, Maria Domenica Galati, Elham E Khoda, Farah Fahim, Davide Giri, Benjamin Hawks, Duc Hoang, Burt Holzman, Shih-Chieh Hsu, Sergo Jindariani, Iris Johnson, Raghav Kansal, Ryan Kastner, Erik Katsavounidis, Jeffrey D. Krupa, Pan Li, Sandeep Madireddy, Ethan Marx, Patrick McCormack, Andres Meza, Jovan Mitrevski, Mohammed Attia Mohammed, Farouk Mokhtar, Eric A. Moreno, Srishti Nagu, Rohin Narayan, Noah Palladino, Zhiqiang Que, Sang Eon Park, Subramanian Ramamoorthy, Dylan S. Rankin, Simon Rothman, Ashish Sharma, Sioni Summers, Pietro Vischia, Jean-Roch Vlimant, Olivia Weng
2021	A	`conf`	MLBlocks: FPGA Blocks for Machine Learning Applications. FPGA Seyedramin Rasoulinezhad, David Boland, Philip H. W. Leong
2021	C	`conf`	Modified Joint Channel-and-Data Estimation for One-Bit Massive MIMO. ISCAS Mohammadhossein Bahari, Seyedramin Rasoulinezhad, Mahdi Amiri, Farzam Gilani, Saeed Saadatnejad, Seyed Alireza Nezamalhosseini, Mahdi Shabany
2020	A	`conf`	LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations. FPGA Seyedramin Rasoulinezhad, Siddhartha, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong
2020	J	`jnl`	LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations. CoRR Seyedramin Rasoulinezhad, Siddhartha, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong
2020	J	`jnl`	MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency. CoRR Seyedramin Rasoulinezhad, Sean Fox, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong
2020	J	`jnl`	NITI: Training Integer Neural Networks Using Integer-only Arithmetic. CoRR Maolin Wang, Seyedramin Rasoulinezhad, Philip H. W. Leong, Hayden Kwok-Hay So
2019	—	`conf`	MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency. FPT Seyedramin Rasoulinezhad, Sean Fox, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong
2019	Misc	`conf`	PIR-DSP: An FPGA DSP Block Architecture for Multi-precision Deep Neural Networks. FCCM Seyedramin Rasoulinezhad, Hao Zhou, Lingli Wang, Philip H. W. Leong